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In recent times have seen a surge in the popularity of Deep Learning. A subtype of machine learning, deep learning uses multiple layers in the network to extract particular features from the raw input. Deep understanding is the branch of Artificial Intelligence that enables computers to do tasks requiring human intelligence otherwise. It allows machines to work on a diverse set of data. With deep learning, every outcome improves upon the previous one, i.e., deep understanding can be acquired by experience in a way similar to humans. This has led to the demand for deep learning courses.
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Deep Learning With Python Certification Courses
Deep Learning With Tensorflow Certification Courses
Deep learning is used in virtual assistants like Alexa and Siri. The deep learning algorithm translates between languages. It is also used in drones and automated cars. The advantage of deep learning over machine learning is that it can efficiently deal with large data sets. Deep understanding is computationally intensive. Its importance has been felt during the COVID times as work from home became more comfortable due to this field's development. The demand has risen to such a tremendous and a variety of in-depth learning tutorials are available online.
19+ Deep Learning courses
Here is a list of some of the best deep learning courses that are worth checking out.
Course | Offered by | Duration | Cost |
Deep Learning Specialization | Coursera | Approx. 5 months | Rs. 3636 per month (7-day free trial) |
Udacity | 4 months | Rs. 91396 | |
Deep Learning on Azure with Python: Introduction to Deep Learning | CloudSwyft Global Systems via Future Learn | 4 weeks | $ 39 (7-day free trial) |
Deep Learning Course (with Keras and Tensorflow) Certification Training | CloudSwyft Global Systems via SimpliLearn | 4 weeks | $ 39 (7-day free trial) |
Deep Reinforcement Learning | Udacity | 4 Months | Rs. 91,396 |
CloudSwyft Global Systems via SimpliLearn | Approx. 14 hours | Rs. 2894 per month (7-day free trial) | |
CloudSwyft Global Systems via SimpliLearn | Approx. 5 weeks | Rs. 10982 (free for auditing) | |
CloudSwyft Global Systems via SimpliLearn | Approx. 5 weeks | Rs. 7297 (free for auditing) | |
Applied Deep Learning Capstone Project | IBM via Edx | 5 weeks | Rs. 10982 |
Machine Learning and Deep Learning using TensorFlow & Keras | Udemy | 11 hours | Rs.1280 |
Natural Language Processing with Deep Learning in Python | Udemy | 12 hours | Rs. 2,560 |
The Complete Self-Driving Car Course- Applied Deep Learning | Udemy | 18 hours | Rs. 8640 |
Practical Deep learning with Pytorch | Udemy | 6.5 hours | Rs. 6400 |
Machine Learning Data Science and Deep Learning with Python | Udemy | 15.5 hours | Rs.8640 |
Probabilistic Deep Learning with TensorFlow 2 | Imperial College London via Coursera | Approx. 53 hours | Rs. 3636 per month (7-day free trial) |
Advanced AI: Deep Reinforcement Learning in Python | Udemy | 10.5 hours | Rs. 1,920 |
Professional Certificate in Deep Learning | IBM via Edx | Rs. 43085 | |
Machine Learning with Python: from Linear Models to Deep Learning | MIT via Edx | 15 weeks | Rs. 22,133 (free for auditing) |
Deep Learning & Neural Networks for Financial Engineering | New York University via Edx | 7 weeks | Rs. 58,947 |
Note: The above data is collected and gathered by the Careers360 team.
Also read: Online Deep Learning Courses & Certifications
Deep Learning Specialization
Offered on Coursera by deeplearning.ai, this deep learning course is designed as a deep learning AI course for people interested in the field. The course provides a certificate of completion and covers concepts such as neural networks, sequencing, and other vital aspects of the Artificial Intelligence & Machine Learning world.
Platform: Coursera
Duration: Approx. 5 months
Cost: Rs. 3636 per month (7-day free trial)
Topics covered
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models
Also Read: Deep Learning by IIT Kharagpur via Swayam
Deep Learning by Udacity
This is one of the top deep learning courses offered in the Udacity platform, where you
gain a comprehensive understanding of neural networks, their implementation using the deep learning framework PyTorch. This course is perfect for those who are interested in AI, machine learning, and/or deep learning, as well as for those who have a working knowledge of Python programming, including NumPy and pandas. Having some familiarity with calculus and linear algebra will also be an advantage.
Platform: Udacity
Duration: 4 months
Cost: Rs. 91396
Topics covered
Introduction
Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks
Generative Adversarial Networks
Deploying a Sentiment Analysis Model
Read also: Career as a Computer programmer
Deep Learning on Azure with Python: Introduction to Deep Learning
This is one of the best deep learning courses that you can take from the Futurelearn platform, where will learn about different types of neural networks. You’ll develop your understanding of key deep learning vocabulary, concepts, and algorithms, enabling you to understand how deep learning frameworks work.
Platform: CloudSwyft Global Systems via Future Learn
Duration: 4 weeks
Cost: $ 39 (7-day free trial)
Topics covered
End-to-end model for recognizing hand-written digit images using a multi-class Logistic Regression and MLP (Multi-Layered Perceptron).
CNN (Convolution Neural Network) model for improved digit recognition.
RNN (Recurrent Neural Network) model to forecast time-series data.
LSTM (Long Short Term Memory) model to process sequential text data.
Also Read: Certificate in Deep Learning with TensorFlow by Vskills
Deep Learning Course (with Keras and Tensorflow) Certification Training
This is one of the top deep learning courses that are offered in the Simplilearn platform. In this course, you’ll learn deep learning concepts, models using Keras and TensorFlow frameworks. And you will also learn deep learning algorithms, and prepare you for a career as Deep Learning Engineer.
Platform: CloudSwyft Global Systems via SimpliLearn
Duration: 4 weeks
Cost: $ 39 (7-day free trial)
Topics covered
Introduction to Tensorflow
Convolutional Networks
Recurrent Neural Network
Restricted Boltzmann Machines (RBM)
Autoencoders13:52Preview
AI and Deep learning introduction
Artificial Neural Network
Deep Neural Network & Tools
Deep Neural Net optimization, tuning, interpretability
Convolutional Neural Network
Recurrent Neural Networks
Autoencoders
Also Read: Deep learning by Indian Institute of Technology Ropar via Swayam
Deep Reinforcement Learning
This course is a nano-degree program designed for students seeking to undertake an in-depth reinforcement learning course. It is designed to help students undertake such a program with career guidance and class support. If you are looking to learn in-depth about AI concepts and work on real-world projects, this is the ideal choice for you to pursue.
Platform: Udacity
Duration: 4 Months
Cost: Rs. 91,396
Topics covered
Foundations of Reinforcement Learning
Value-Based Methods
Policy-Based Methods
Multi-Agent Reinforcement Learning
Deep Learning and Reinforcement Learning
This is one of the best deep learning courses that will give you a fundamental and application-level understanding of the main types of Machine Learning which are: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning.
Platform: CloudSwyft Global Systems via SimpliLearn
Duration: Approx. 14 hours
Cost: Rs. 2894 per month (7-day free trial)
Topics covered
Introduction to Neural Networks
Neural Network Optimizers and Keras
Convolutional Neural Networks
Recurrent Neural Networks and Long-Short Term Memory Networks
Deep Learning with Autoencoders
Deep Learning Applications and Reinforcement Learning
Also read : Online Machine Learning Courses & Certifications
Deep Learning Essentials
This Deep Learning course gives you an in-depth understanding of deep learning and its impact in all sectors. Developed by the University of Montreal and available on Edx, this is one of the top deep learning courses that can give you a foundational understanding of the topic.
Platform: CloudSwyft Global Systems via SimpliLearn
Duration: Approx. 5 weeks
Cost: Rs. 10982 (free for auditing)
Topics covered
Machine Learning (ML) and Experimental Protocol
Introduction to Deep Learning
Intro to Convolutional Neural Networks (CNN)
Introduction to Recurrent Neural Networks
Bias and Discrimination in ML
Also Read: Deep Learning For Visual Computing IIT Kharagpur via Swayam
Deep Learning Fundamentals with Keras
If you are looking into learning the fundamentals of deep learning and teach you the fundamentals, then this is for you. This deep learning course offered in the Edx platform covers topics such as deep learning models, neural networks as well as how to build your first deep learning model using Keras.
Platform: CloudSwyft Global Systems via SimpliLearn
Duration: Approx. 5 weeks
Cost: Rs. 7297 (free for auditing)
Topics covered
Introduction to Deep Learning
Artificial Neural Networks
Deep Learning Libraries
Deep Learning Models
Read more: Machine Learning
Deep Learning in Computer Vision
In this course, you will learn about computer vision, deep learning models, various object detection techniques, image and video recognition, motion estimation, object tracking in video, human action recognition as well as and finally image stylization, editing, etc.
Platform: HSE University, Moscow via Coursera
Duration: Approx. 13 hours
Cost: Rs. 3636 per month (7-day free trial)
Topics covered
Introduction to image processing and computer vision
Convolutional features for visual recognition
Object detection
Object tracking and action recognition
Image segmentation and synthesis
Also Read: Certificate in Deep Learning with Python by Vskills
Applied Deep Learning Capstone Project
This course is an in-depth learning tutorial that focuses on the applied aspect of Deep learning. It helps learners willing to venture into the field of Deep learning with an emphasis on its application with Python libraries such as Pytorch and Keras. The course is offered by IBM & provides the learner quite an insight into how they can train, build & deploy their own deep learning models in real-time.
Platform: IBM via Edx
Duration: 5 weeks
Cost: Free. Rs. 10982
Topics covered
Determine what kind of Deep Learning method to use in which situation
How to build a Deep Learning model to solve a real problem
Master the process of creating a Deep Learning pipeline
Apply knowledge of Deep Learning to improve models using real data
Demonstrate ability to present and communicate outcomes of Deep Learning projects
Read also: Career as AI Developer
Machine Learning and Deep Learning using TensorFlow & Keras
Taught by the very famous instructor, Indra Programmer, the course is created for helping learners are acquainted with the Google TensorFlow framework. You are going to learn about the basics of machine learning and understand how it differs from deep learning. A deep learning AI course, explains Google TensorFlow's complexities more easily for beginners.
Platform: Udemy
Cost: Rs.1280
Duration: 11 hours
Topics covered
Types of Neural Network
What is back Propagation?
Deep Learning with Neuron Network
Machine Learning, Tensor flow, HLL
Machine Learning with Tensor Flow
MLP &Neural Networks - Tensor Flow &Keras
Autoencoders
Deep Reinforcement Learning
Image Classification using Covolutional neural networks in Keras
Word embeddings by Keras
Conv nets, RNN with Keras
Read also: Career as Software Developer
Natural Language Processing with Deep Learning in Python
The Natural Language Processing with Deep Learning in Python course is an advanced, in-depth learning course. It is designed for people interested in neural networks and requires prior acquaintance with NLP and Deep Learning and using recursive tensor-based neural networks for the purpose of analysing sentiments online.
For those who have some prior working knowledge of libraries such as Theano, NumPy as well as addition, subtraction & other similar arithmetic operations.
Platform: Udemy
Duration: 12 hours
Cost: Rs. 2,560
Topics covered
Outline, Review, and Logistical Things
Working with Word Vectors
Review of Language Modeling and Neural Networks
Word Embeddings and Word2Vec
Word Embeddings using GloVe
Unifying Word2Vec and GloVe
Using Neural Networks to Solve NLP Problems
Recursive Neural Networks (Tree Neural Networks)
Theano and Tensorflow Basics Review
Setting Up Your Environment
Extra Help With Python Coding for Beginners
Effective Learning Strategies for Machine Learning
Read also: Career as a Data scientist
The Complete Self-Driving Car Course- Applied Deep Learning
The course is the best in-depth learning course for people looking forward to the applied aspects of deep learning. It is designed to help the learner to be able to develop an autonomous car. It will teach you to practically implement smart computer vision and AI/ML concepts to build your own self-driving car, a kind of project, which helps you understand how Python libraries and neural networks work in real-time.
Platform: Udemy
Duration: 18 hours
Cost: Rs. 8640
Topics covered
Introduction
Installation
Python Crash Course (Optional)
NumPy Crash Course (Optional)
Computer Vision: Finding Lane Lines
The Perceptron
Keras, Deep Neural Networks
Multiclass Classification
MNIST Image Recognition
Convolutional Neural Networks
Classifying Road Symbols
Polynomial Regression
Behavioural Cloning
Also Read: Certificate in Deep Learning with Caffe2 by Vskills
Practical Deep learning with Pytorch
This is one of the finest deep learning certification courses, where you get an in-depth learning tutorial that aims to help the learners master deep learning concepts and implement them in Pytorch. Having past knowledge of arithmetic, differentiation, and algebra apart from Python functions, classes and loops is vital since the course provides a visual demonstration of how deep learning algorithms work.
Platform: Udemy
Duration: 6.5 hours
Cost: Rs. 6400
Topics covered
Introduction
Software Requirements
PyTorch Fundamentals: Matrices
PyTorch Fundamentals: Variables and Gradients
Linear Regression with PyTorch
Logistic Regression with PyTorch
Feedforward Neural Network with PyTorch
Convolutional Neural Network (CNN) with PyTorch
Recurrent Neural Networks (RNN)
Long Short-Term Memory Networks (LSTM)
Machine Learning Data Science and Deep Learning with Python
Udemy platform offers one of the top machine learning courses and deep learning courses for data science using the Python programming language. This deep learning and machine learning course introduces students to the utilization of TensorFlow and Python for predicting results and classifying data into smaller units among others.
Platform: Udemy
Cost: Rs.8640
Duration: 15.5 hours
Topics covered
Getting Started
Statistics and Probability Refresher, and Python Practice
Predictive Models
Machine Learning with Python
Recommender Systems
More Data Mining and Machine Learning Techniques
Dealing with Real-World Data
Apache Spark: Machine Learning on Big Data
Experimental Design / ML in the Real World
Deep Learning and Neural Networks
Generative Models
Final Project
Also read: Career as Computer Hardware Engineer
Probabilistic Deep Learning with TensorFlow 2
Designed by the prestigious institute, Imperial College London, this is one of the best deep learning certification courses which focuses on deep probabilistic learning with TensorFlow. This is an advanced-level course that focuses on a probabilistic approach to deep learning.
Platform: Imperial College London via Coursera.
Cost: Rs. 3636 per month (7-day free trial)
Duration: Approx. 53 hours
Topics covered
TensorFlow Distributions
Probabilistic layers and Bayesian neural networks
Normalising flows
Variational autoencoders
Capstone Project
Also Read: Certificate in Deep Learning with PyTorch by Vskills
Advanced AI: Deep Reinforcement Learning in Python
The course is an in-depth reinforcement tutorial for people willing to take their deep learning experience one notch up. The course is designed very systematically for people already in the field. Its curriculum teaches students how to implement dynamic programming, building ANNs & CNNs using Theano and TensorFlow apart from linear regression, if-else condition statements along loops in Python.
Platform: Udemy
Duration: 10.5 hours
Cost: Rs. 1,920
Topics covered
Introduction and Logistics
The Basics of Reinforcement Learning
OpenAI Gym and Basic Reinforcement Learning Techniques
TD Lambda
Policy Gradients
Deep Q-Learning
A3C
Theano and Tensorflow Basics Review
Setting Up Your Environment
Extra Help With Python Coding for Beginners
Effective Learning Strategies for Machine Learning
Appendix / FAQ Finale
Read also: Career as Data Analyst
Professional Certificate in Deep Learning
This course is the right choice for a certificate course in Deep Learning and can increase your chances of being hired by a firm, considering that you will be building projects focused on convolutional and recursive neural networks alongside real-world AI/ML concepts such as computer vision, image & video processing alongside analyzing language and text on the Web.
Platform: IBM via Edx
Duration: 7 months
Cost: Rs. 43085
Topics covered
IBM's Deep Learning Professional Certificate
Deep Learning Fundamentals with Keras
Computer Vision and Image Processing Fundamentals
PyTorch Basics for Machine Learning
Deep Learning with Python and PyTorch
Deep Learning with Tensorflow
Applied Deep Learning Capstone Project
Job Outlook
Machine Learning with Python: from Linear Models to Deep Learning
Offered by the prestigious MIT, this is one of the best machine learning courses which offers a foundational and applicational understanding of ML and deep learning. You will learn about the application of Python language in ML and will cover concepts such as Machine learning with Python covering linear models and deep learning. It can be helpful as deep learning with a Python tutorial. You will be able to choose different linear models depending upon the application, implement machine learning in real-time as well as work with graphical models, which are quite essential if you want to get yourself a high-paying data science job.
Platform: MIT via Edx
Duration: 15 weeks
Cost: Free, Certificate for Rs. 22,133
Topics covered
Introduction
Linear classifiers, separability, perceptron algorithm
Maximum margin hyperplane, loss, regularization
Stochastic gradient descent, over-fitting, generalization
Linear regression
Recommender problems, collaborative filtering
Non-linear classification, kernels
Learning features, Neural networks
Deep learning, back propagation
Recurrent neural networks
Recurrent neural networks
Generalization, complexity, VC-dimension
Unsupervised learning: clustering
Generative models, mixtures
Mixtures and the EM algorithm
Learning to control: Reinforcement learning
Reinforcement learning continued
Applications: Natural Language Processing
Projects
Automatic Review Analyzer
Digit Recognition with Neural Networks
Reinforcement Learning
Also read: Engineering and Architecture
Deep Learning & Neural Networks for Financial Engineering
New York University provides the Deep Learning and Neural Networks for Financial Engineering course. This is one of the top deep learning certification courses offered by the prestigious NYU where you will learn about the application of neural networks and deep learning in many fields, including finance.
Platform: New York University via Edx
Duration: 7 weeks
Cost: Rs. 58,947
Topics covered
Classical Machine Learning: Overview
Introduction to Neural Networks and Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks
Training Neural Networks
Interpretation and Transfer Learning
Advanced Recurrent Architectures
Advanced topics
Conclusion
Artificial Intelligence in general and deep learning, in particular, are the job-creators of today. As the world witnessed a massive overhaul of how companies work, deep learning enthusiasts' demand is rising tremendously. There are a plethora of deep learning online courses available for people interested in the field. A deep learning certification is a career enabler. Anyone in the industry willing to take a step further in his or her career can take up an online deep learning course. There are also many deep learning tutorials for beginners that can be taken by people who are willing to learn about deep learning from scratch. Deep learning is based on the functioning of the human brain. As technology develops faster pace than ever, it becomes crucial for people to develop their skills accordingly. A career in deep learning ensures stability as well as security of income despite times of crisis. Varieties of deep learning online courses are available for beginners as well as advanced-level learners. Taking up any one of these courses can be a great addition to one's resume.
Explore Popular Platforms Certification Courses
Though it is not necessary to learn machine learning algorithms in order to learn deep learning, it will be beneficial. Or you can take deep learning courses which teach you, deep learning models, directly.
No. Deep learning is a subset of machine learning. Thus take deep learning courses that can you can't learn deep learning without taking machine learning courses. Deep learning lives inside of machine learning so theoretically, it's impossible.
Here are some of the prerequisites that you must have for taking deep learning courses:
Linear algebra
Calculus
Probability
Python
Basic Machine learning
Database professionals use software to store and organise data such as financial information, and customer shipping records. Individuals who opt for a career as data administrators ensure that data is available for users and secured from unauthorised sales. DB administrators may work in various types of industries. It may involve computer systems design, service firms, insurance companies, banks and hospitals.
The field of biomedical engineering opens up a universe of expert chances. An Individual in the biomedical engineering career path work in the field of engineering as well as medicine, in order to find out solutions to common problems of the two fields. The biomedical engineering job opportunities are to collaborate with doctors and researchers to develop medical systems, equipment, or devices that can solve clinical problems. Here we will be discussing jobs after biomedical engineering, how to get a job in biomedical engineering, biomedical engineering scope, and salary.
A career as ethical hacker involves various challenges and provides lucrative opportunities in the digital era where every giant business and startup owns its cyberspace on the world wide web. Individuals in the ethical hacker career path try to find the vulnerabilities in the cyber system to get its authority. If he or she succeeds in it then he or she gets its illegal authority. Individuals in the ethical hacker career path then steal information or delete the file that could affect the business, functioning, or services of the organization.
GIS officer work on various GIS software to conduct a study and gather spatial and non-spatial information. GIS experts update the GIS data and maintain it. The databases include aerial or satellite imagery, latitudinal and longitudinal coordinates, and manually digitized images of maps. In a career as GIS expert, one is responsible for creating online and mobile maps.
The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.
Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.
Individuals who opt for a career as geothermal engineers are the professionals involved in the processing of geothermal energy. The responsibilities of geothermal engineers may vary depending on the workplace location. Those who work in fields design facilities to process and distribute geothermal energy. They oversee the functioning of machinery used in the field.
If you are intrigued by the programming world and are interested in developing communications networks then a career as database architect may be a good option for you. Data architect roles and responsibilities include building design models for data communication networks. Wide Area Networks (WANs), local area networks (LANs), and intranets are included in the database networks. It is expected that database architects will have in-depth knowledge of a company's business to develop a network to fulfil the requirements of the organisation. Stay tuned as we look at the larger picture and give you more information on what is db architecture, why you should pursue database architecture, what to expect from such a degree and what your job opportunities will be after graduation. Here, we will be discussing how to become a data architect. Students can visit NIT Trichy, IIT Kharagpur, JMI New Delhi.
Individuals who opt for a career as a remote sensing technician possess unique personalities. Remote sensing analysts seem to be rational human beings, they are strong, independent, persistent, sincere, realistic and resourceful. Some of them are analytical as well, which means they are intelligent, introspective and inquisitive.
Remote sensing scientists use remote sensing technology to support scientists in fields such as community planning, flight planning or the management of natural resources. Analysing data collected from aircraft, satellites or ground-based platforms using statistical analysis software, image analysis software or Geographic Information Systems (GIS) is a significant part of their work. Do you want to learn how to become remote sensing technician? There's no need to be concerned; we've devised a simple remote sensing technician career path for you. Scroll through the pages and read.
Budget analysis, in a nutshell, entails thoroughly analyzing the details of a financial budget. The budget analysis aims to better understand and manage revenue. Budget analysts assist in the achievement of financial targets, the preservation of profitability, and the pursuit of long-term growth for a business. Budget analysts generally have a bachelor's degree in accounting, finance, economics, or a closely related field. Knowledge of Financial Management is of prime importance in this career.
The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.
Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.
An underwriter is a person who assesses and evaluates the risk of insurance in his or her field like mortgage, loan, health policy, investment, and so on and so forth. The underwriter career path does involve risks as analysing the risks means finding out if there is a way for the insurance underwriter jobs to recover the money from its clients. If the risk turns out to be too much for the company then in the future it is an underwriter who will be held accountable for it. Therefore, one must carry out his or her job with a lot of attention and diligence.
A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.
Individuals in the operations manager jobs are responsible for ensuring the efficiency of each department to acquire its optimal goal. They plan the use of resources and distribution of materials. The operations manager's job description includes managing budgets, negotiating contracts, and performing administrative tasks.
Individuals who opt for a career as a stock analyst examine the company's investments makes decisions and keep track of financial securities. The nature of such investments will differ from one business to the next. Individuals in the stock analyst career use data mining to forecast a company's profits and revenues, advise clients on whether to buy or sell, participate in seminars, and discussing financial matters with executives and evaluate annual reports.
A Researcher is a professional who is responsible for collecting data and information by reviewing the literature and conducting experiments and surveys. He or she uses various methodological processes to provide accurate data and information that is utilised by academicians and other industry professionals. Here, we will discuss what is a researcher, the researcher's salary, types of researchers.
Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.
A career as Transportation Planner requires technical application of science and technology in engineering, particularly the concepts, equipment and technologies involved in the production of products and services. In fields like land use, infrastructure review, ecological standards and street design, he or she considers issues of health, environment and performance. A Transportation Planner assigns resources for implementing and designing programmes. He or she is responsible for assessing needs, preparing plans and forecasts and compliance with regulations.
Individuals who opt for a career as an environmental engineer are construction professionals who utilise the skills and knowledge of biology, soil science, chemistry and the concept of engineering to design and develop projects that serve as solutions to various environmental problems.
A Safety Manager is a professional responsible for employee’s safety at work. He or she plans, implements and oversees the company’s employee safety. A Safety Manager ensures compliance and adherence to Occupational Health and Safety (OHS) guidelines.
A Conservation Architect is a professional responsible for conserving and restoring buildings or monuments having a historic value. He or she applies techniques to document and stabilise the object’s state without any further damage. A Conservation Architect restores the monuments and heritage buildings to bring them back to their original state.
A Structural Engineer designs buildings, bridges, and other related structures. He or she analyzes the structures and makes sure the structures are strong enough to be used by the people. A career as a Structural Engineer requires working in the construction process. It comes under the civil engineering discipline. A Structure Engineer creates structural models with the help of computer-aided design software.
Highway Engineer Job Description: A Highway Engineer is a civil engineer who specialises in planning and building thousands of miles of roads that support connectivity and allow transportation across the country. He or she ensures that traffic management schemes are effectively planned concerning economic sustainability and successful implementation.
Are you searching for a Field Surveyor Job Description? A Field Surveyor is a professional responsible for conducting field surveys for various places or geographical conditions. He or she collects the required data and information as per the instructions given by senior officials.
Orthotists and Prosthetists are professionals who provide aid to patients with disabilities. They fix them to artificial limbs (prosthetics) and help them to regain stability. There are times when people lose their limbs in an accident. In some other occasions, they are born without a limb or orthopaedic impairment. Orthotists and prosthetists play a crucial role in their lives with fixing them to assistive devices and provide mobility.
A career in pathology in India is filled with several responsibilities as it is a medical branch and affects human lives. The demand for pathologists has been increasing over the past few years as people are getting more aware of different diseases. Not only that, but an increase in population and lifestyle changes have also contributed to the increase in a pathologist’s demand. The pathology careers provide an extremely huge number of opportunities and if you want to be a part of the medical field you can consider being a pathologist. If you want to know more about a career in pathology in India then continue reading this article.
Gynaecology can be defined as the study of the female body. The job outlook for gynaecology is excellent since there is evergreen demand for one because of their responsibility of dealing with not only women’s health but also fertility and pregnancy issues. Although most women prefer to have a women obstetrician gynaecologist as their doctor, men also explore a career as a gynaecologist and there are ample amounts of male doctors in the field who are gynaecologists and aid women during delivery and childbirth.
The audiologist career involves audiology professionals who are responsible to treat hearing loss and proactively preventing the relevant damage. Individuals who opt for a career as an audiologist use various testing strategies with the aim to determine if someone has a normal sensitivity to sounds or not. After the identification of hearing loss, a hearing doctor is required to determine which sections of the hearing are affected, to what extent they are affected, and where the wound causing the hearing loss is found. As soon as the hearing loss is identified, the patients are provided with recommendations for interventions and rehabilitation such as hearing aids, cochlear implants, and appropriate medical referrals. While audiology is a branch of science that studies and researches hearing, balance, and related disorders.
An oncologist is a specialised doctor responsible for providing medical care to patients diagnosed with cancer. He or she uses several therapies to control the cancer and its effect on the human body such as chemotherapy, immunotherapy, radiation therapy and biopsy. An oncologist designs a treatment plan based on a pathology report after diagnosing the type of cancer and where it is spreading inside the body.
Are you searching for an ‘Anatomist job description’? An Anatomist is a research professional who applies the laws of biological science to determine the ability of bodies of various living organisms including animals and humans to regenerate the damaged or destroyed organs. If you want to know what does an anatomist do, then read the entire article, where we will answer all your questions.
For an individual who opts for a career as an actor, the primary responsibility is to completely speak to the character he or she is playing and to persuade the crowd that the character is genuine by connecting with them and bringing them into the story. This applies to significant roles and littler parts, as all roles join to make an effective creation. Here in this article, we will discuss how to become an actor in India, actor exams, actor salary in India, and actor jobs.
Individuals who opt for a career as acrobats create and direct original routines for themselves, in addition to developing interpretations of existing routines. The work of circus acrobats can be seen in a variety of performance settings, including circus, reality shows, sports events like the Olympics, movies and commercials. Individuals who opt for a career as acrobats must be prepared to face rejections and intermittent periods of work. The creativity of acrobats may extend to other aspects of the performance. For example, acrobats in the circus may work with gym trainers, celebrities or collaborate with other professionals to enhance such performance elements as costume and or maybe at the teaching end of the career.
Career as a video game designer is filled with excitement as well as responsibilities. A video game designer is someone who is involved in the process of creating a game from day one. He or she is responsible for fulfilling duties like designing the character of the game, the several levels involved, plot, art and similar other elements. Individuals who opt for a career as a video game designer may also write the codes for the game using different programming languages.
Depending on the video game designer job description and experience they may also have to lead a team and do the early testing of the game in order to suggest changes and find loopholes.
Radio Jockey is an exciting, promising career and a great challenge for music lovers. If you are really interested in a career as radio jockey, then it is very important for an RJ to have an automatic, fun, and friendly personality. If you want to get a job done in this field, a strong command of the language and a good voice are always good things. Apart from this, in order to be a good radio jockey, you will also listen to good radio jockeys so that you can understand their style and later make your own by practicing.
A career as radio jockey has a lot to offer to deserving candidates. If you want to know more about a career as radio jockey, and how to become a radio jockey then continue reading the article.
The word “choreography" actually comes from Greek words that mean “dance writing." Individuals who opt for a career as a choreographer create and direct original dances, in addition to developing interpretations of existing dances. A Choreographer dances and utilises his or her creativity in other aspects of dance performance. For example, he or she may work with the music director to select music or collaborate with other famous choreographers to enhance such performance elements as lighting, costume and set design.
A career as social media manager involves implementing the company’s or brand’s marketing plan across all social media channels. Social media managers help in building or improving a brand’s or a company’s website traffic, build brand awareness, create and implement marketing and brand strategy. Social media managers are key to important social communication as well.
Photography is considered both a science and an art, an artistic means of expression in which the camera replaces the pen. In a career as a photographer, an individual is hired to capture the moments of public and private events, such as press conferences or weddings, or may also work inside a studio, where people go to get their picture clicked. Photography is divided into many streams each generating numerous career opportunities in photography. With the boom in advertising, media, and the fashion industry, photography has emerged as a lucrative and thrilling career option for many Indian youths.
An individual who is pursuing a career as a producer is responsible for managing the business aspects of production. They are involved in each aspect of production from its inception to deception. Famous movie producers review the script, recommend changes and visualise the story.
They are responsible for overseeing the finance involved in the project and distributing the film for broadcasting on various platforms. A career as a producer is quite fulfilling as well as exhaustive in terms of playing different roles in order for a production to be successful. Famous movie producers are responsible for hiring creative and technical personnel on contract basis.
In a career as a copywriter, one has to consult with the client and understand the brief well. A career as a copywriter has a lot to offer to deserving candidates. Several new mediums of advertising are opening therefore making it a lucrative career choice. Students can pursue various copywriter courses such as Journalism, Advertising, Marketing Management. Here, we have discussed how to become a freelance copywriter, copywriter career path, how to become a copywriter in India, and copywriting career outlook.
In a career as a vlogger, one generally works for himself or herself. However, once an individual has gained viewership there are several brands and companies that approach them for paid collaboration. It is one of those fields where an individual can earn well while following his or her passion.
Ever since internet costs got reduced the viewership for these types of content has increased on a large scale. Therefore, a career as a vlogger has a lot to offer. If you want to know more about the Vlogger eligibility, roles and responsibilities then continue reading the article.
For publishing books, newspapers, magazines and digital material, editorial and commercial strategies are set by publishers. Individuals in publishing career paths make choices about the markets their businesses will reach and the type of content that their audience will be served. Individuals in book publisher careers collaborate with editorial staff, designers, authors, and freelance contributors who develop and manage the creation of content.
Careers in journalism are filled with excitement as well as responsibilities. One cannot afford to miss out on the details. As it is the small details that provide insights into a story. Depending on those insights a journalist goes about writing a news article. A journalism career can be stressful at times but if you are someone who is passionate about it then it is the right choice for you. If you want to know more about the media field and journalist career then continue reading this article.
Individuals in the editor career path is an unsung hero of the news industry who polishes the language of the news stories provided by stringers, reporters, copywriters and content writers and also news agencies. Individuals who opt for a career as an editor make it more persuasive, concise and clear for readers. In this article, we will discuss the details of the editor's career path such as how to become an editor in India, editor salary in India and editor skills and qualities.
Individuals who opt for a career as a reporter may often be at work on national holidays and festivities. He or she pitches various story ideas and covers news stories in risky situations. Students can pursue a BMC (Bachelor of Mass Communication), B.M.M. (Bachelor of Mass Media), or MAJMC (MA in Journalism and Mass Communication) to become a reporter. While we sit at home reporters travel to locations to collect information that carries a news value.
Are you searching for a Corporate Executive job description? A Corporate Executive role comes with administrative duties. He or she provides support to the leadership of the organisation. A Corporate Executive fulfils the business purpose and ensures its financial stability. In this article, we are going to discuss how to become corporate executive.
A multimedia specialist is a media professional who creates, audio, videos, graphic image files, computer animations for multimedia applications. He or she is responsible for planning, producing, and maintaining websites and applications.
Welding Engineer Job Description: A Welding Engineer work involves managing welding projects and supervising welding teams. He or she is responsible for reviewing welding procedures, processes and documentation. A career as Welding Engineer involves conducting failure analyses and causes on welding issues.
A quality controller plays a crucial role in an organisation. He or she is responsible for performing quality checks on manufactured products. He or she identifies the defects in a product and rejects the product.
A quality controller records detailed information about products with defects and sends it to the supervisor or plant manager to take necessary actions to improve the production process.
A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.
A QA Lead is in charge of the QA Team. The role of QA Lead comes with the responsibility of assessing services and products in order to determine that he or she meets the quality standards. He or she develops, implements and manages test plans.
A Structural Engineer designs buildings, bridges, and other related structures. He or she analyzes the structures and makes sure the structures are strong enough to be used by the people. A career as a Structural Engineer requires working in the construction process. It comes under the civil engineering discipline. A Structure Engineer creates structural models with the help of computer-aided design software.
The Process Development Engineers design, implement, manufacture, mine, and other production systems using technical knowledge and expertise in the industry. They use computer modeling software to test technologies and machinery. An individual who is opting career as Process Development Engineer is responsible for developing cost-effective and efficient processes. They also monitor the production process and ensure it functions smoothly and efficiently.
An AWS Solution Architect is someone who specializes in developing and implementing cloud computing systems. He or she has a good understanding of the various aspects of cloud computing and can confidently deploy and manage their systems. He or she troubleshoots the issues and evaluates the risk from the third party.
An Azure Administrator is a professional responsible for implementing, monitoring, and maintaining Azure Solutions. He or she manages cloud infrastructure service instances and various cloud servers as well as sets up public and private cloud systems.
Careers in computer programming primarily refer to the systematic act of writing code and moreover include wider computer science areas. The word 'programmer' or 'coder' has entered into practice with the growing number of newly self-taught tech enthusiasts. Computer programming careers involve the use of designs created by software developers and engineers and transforming them into commands that can be implemented by computers. These commands result in regular usage of social media sites, word-processing applications and browsers.
A Product Manager is a professional responsible for product planning and marketing. He or she manages the product throughout the Product Life Cycle, gathering and prioritising the product. A product manager job description includes defining the product vision and working closely with team members of other departments to deliver winning products.
Individuals in the information security manager career path involves in overseeing and controlling all aspects of computer security. The IT security manager job description includes planning and carrying out security measures to protect the business data and information from corruption, theft, unauthorised access, and deliberate attack
An Automation Test Engineer job involves executing automated test scripts. He or she identifies the project’s problems and troubleshoots them. The role involves documenting the defect using management tools. He or she works with the application team in order to resolve any issues arising during the testing process.