149 Courses and Certifications

List of Online Courses and Certifications

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Certificate

Hybrid EPGP in Data Science, Business Analytics and Big Data in association with IBM

Hybrid EPGP in Data Science, Business Analytics, and Big Data in association with IBM certification is an 12 months course that is a curated offering of Aegis School of Business & Telecommunication, and IBM together. This course is considered India’s very first data science programme which is high-end in nature. This is usually delivered at the Centre for Excellence in Telecom Technology and Management (CETTM), in Mumbai during the weekdays, and on Sundays, the classes are conducted online hence the name hybrid. Being such a respectful course, the curriculum offers both a mix of elective, and core courses that no other organization usually offers. 

Hybrid EPGP in Data Science, Business Analytics, and Big Data in association with IBM training helps in necessary skill development for building a very successful career in the field of business analytics, and big data. Students after earning the final certification will develop both technical, and quantitative skills for creating social value, and business in different industries. So, if candidates want to participate in one of India’s leading analytical courses with real exposure to different tools, and software, they can definitely participate. 

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12 Months
Skills Covered:
Data science knowledge Business analytics knowledge Knowledge of Big Data
Certificate

Post Graduate Program (PGP/MS) in Applied AI, Machine Learning and Deep Learning in association with IBM

Post Graduate Program (PGP/MS) in Applied AI, Machine Learning, and Deep Learning in association with IBM certification is a programme that is conducted for 11 months on the platform of Aegis who have collaborated with IBM for the final certification. These days the demand for both machine learning, and deep learning is increasing, but to bridge the gap between learning, and the increased demand, this course has been designed thoughtfully.

Post Graduate Program (PGP/MS) in Applied AI, Machine Learning, and Deep Learning in association with IBM training provides a credit facility that is globally acclaimed, and also offers career placement opportunities. The syllabus involving the PDFs, PPT, and video lectures of this programme can be accessed by using either a mobile application or a cloud platform that is world-class. Moreover, meritorious students have the opportunity to seek help in paying the fee with scholarships based on their eligibility.

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11 Months
4,00,000
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
Certificate

Weekend Executive Part Time PGP in Cloud Computing

The Weekend OnCampus Executive Part-Time Post Graduate Program in Cloud Computing in association with IBM certification is an 11 months course that is launch to lessen the gap between the skill supply, and its demand in the industry by Aegis, and IBM. This course is a part-time weekend course that is designed for executives of different fields. Among different information technology fields, cloud computing is one of the most talked-about topics and this course was invented for professionals who could take classes during the weekends. 

Weekend Executive Part-Time PGP in Cloud Computing training helps students to get trained in the areas of business analytics, cloud computing, big data, and mobility. This certification course helps to educate information technology professionals and other career aspirants to build, and then deploy applications of the enterprise in the cloud and their relationship with mobile computing. This programme is generally held at the CETT, Powai campus which also provides a course end valid certification.

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11 Months
Skills Covered:
Knowledge of cloud computing
Post Graduate Program in Data Science

Offered by

IBM via Edology
Certificate

Post Graduate Program in Data Science

The Post Graduate Program in Data Science is a 10-months certification course designed to teach students the fundamentals of data science. The course enables the students to learn how data science plays a very fundamental role in the technological world. The Post Graduate Program in Data Science is offered by Edology in partnership with IBM, Innovation Centre for Education and University.  

The Post Graduate Program in Data Science training covers projects, case studies where candidates would be provided an opportunity to work on the capstone project and the students will be able to structure their learnings about data science and its essential components. Through this certification course, students would gain hands-on learning expertise and would be able to apply these in a wide range of business dimensions. Students would get a certificate from one of the recognised brands within the business domain, IBM, and would have the advantage to learn and showcase their real-life analytical and technical skills through this course. 

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10 Months
1,20,000
Skills Covered:
Knowledge of Data Visualization Data Analysis
Deep Learning and Reinforcement Learning

Offered by

Certificate

Deep Learning and Reinforcement Learning

Deep Learning and Reinforcement Learning Certification by Coursera introduces its learners to two of the most sought-after avenues in Machine Learning-Reinforcement Learning and Deep Learning. The latter is abundantly used to power most of the AI applications that are used on a daily basis. Deep Learning and Reinforcement Learning Certification Syllabus exhaustively cover the theory of neural networks that form the basis of Deep Learning as well as modern architectures concerned with Deep Learning. 

As an intermediate-level course, it serves as the perfect second step for aspiring data scientists interested in getting hands-on experience with both the domains in Machine Learning to learn at their own pace and earn a certification. Delivered by IBM professionals, the course will focus on Reinforcement Learning once learners have developed a few Deep Learning models. Although Reinforcement Learning has only a few practical applications at present, it is coming up as a promising area of research in AI that is expected to become relevant in the coming future. At the end of the course, data scientists will find them to be well acquainted with the learnings provided in the course. They can easily implement them in their workforce and deliver timely solutions.

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9 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of deep learning
Introduction to Watson AI

Offered by

IBM via Edx
Certificate

Introduction to Watson AI

In the Introduction to Watson AI online course, the applicants will be learning the working principles of using Artificial Intelligence with the help of the mechanisms of IBM Watson. The students will be studying the ways AI works on the IBM platform. The ways of how Watson works with its client will also be covered in the Introduction to Watson AI certification syllabus. 

The Introduction to Watson AI programme will be delivered in 8 weeks time frame. The module will cover important topics and will help the candidates develop an understanding of-  How IBM Watson AI works, Experience and demonstrate AI in action yourself using Watson, Common use cases for AI, Fundamentals of AI and Watson machine learning, and others. For making the course accessible subtitles are available and lecture videos, quizzes, and assignments have been provided. The programme has the provision of self-paced learning.

Learners will have the leverage and choose any track from the two mentioned ones: audit and verified tracks. These tracks are self-paced and offer limited and unlimited course material access for the verified and audit tracks respectively.

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8 Weeks
Beginner
Skills Covered:
Knowledge of Artificial Intelligence
Cybersecurity Roles and Operating System Security

Offered by

IBM via Edx
Certificate

Cybersecurity Roles and Operating System Security

This Cybersecurity Roles and Operating System Security online course gives you the necessary background in essential cybersecurity. You will learn about the roles that system security professionals engage in, from security analysts to chief information security officers (CISO). You will get acquainted with basic system concepts, essential terminologies, and tools of the cybersecurity field through this Cybersecurity Roles and Operating System Security training course.

The Cybersecurity Roles and Operating System Security programme will also cover important operating systems like Windows, Linux, and Mac OS. Finally, the course will touch upon virtualisation and Cloud computing, cloud computing governance, the security it offers, and its benefits. The programme is mentored by Coreen Ryskamp, who is a programme manager with IBM Security Learning Services.

Besides, the Cybersecurity Roles and Operating System Security course also offers a course completion certificate if you opt for the certificate track. Otherwise, you can also audit the training materials for free. The programme spans four weeks and requires about four to eight hours of commitment per week for effective learning. The candidates will be asked to enrol on the course either by choosing the verified track or the audit track. The audit track is free but access is limited to the course materials. Again, if the students want to learn the course and have unlimited access then they may opt for the verified track which is payable.

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7 Weeks
Beginner
Free
Skills Covered:
Knowledge of cloud computing Knowledge of Linux
Tools for Data Science

Offered by

Certificate

Tools for Data Science

Some popular data science tools used today include JupyterLab, RStudio IDE, Jupyter Notebooks, Git, GitHub, and more. Tools for Data Science by Coursera will introduce you to these data science tools and their features.

The Tools for Data Science certification is a part of a series of certification programmes related to data science and can be applied to different specialisations. Over the period of seven weeks, you will learn 18 hours of content in the form of video lessons and will receive extra readings and quizzes. You will have to create a final project at the end of the programme to showcase your skills and proficiency.

The Coursera Tools for Data Science programme is offered by IBM. It is easy to comprehend as it is a beginner-level course with flexible deadlines. You can earn digital badges and a shareable certificate that will help you enhance your resume and can be shared on LinkedIn.

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7 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge R Programming Knowledge of Python
Data Science Tools

Offered by

IBM via Edx
Certificate

Data Science Tools

The Data Science Tools certification course from IBM provides you with a background on popular data science and data visualisation tools, including RStudio IDE, Jupyter Notebooks, and Watson Studio. Learn about the proper usage of each tool and how data scientists utilise these tools today. You will also get to understand what programming languages the data science tools can execute and what limitations and features they possess. 

The seven-week-long Data Science Tools programme is introductory and belongs to the Data Analysis and Statistics domain. Besides, the tools will be hosted in the cloud, and you will learn to follow instructions and test the tools to run simple code in R or Python. For finishing the training, you will complete a final project on IBM Watson Studio with a Jupyter Notebook on Cloud.

Moreover, you must demonstrate your expertise in writing Markdown, preparing a notebook, and sharing your work with peers. This hands-on Data Science Tools training will familiarise you with some of the most in-use, greatest, and latest data science tools. The course curriculum, divided into six modules, allows you to learn through lab sessions, assignments, graded quizzes, practice exercises, and more.  

Learners may choose any track from the two mentioned ones: audit and verified. These tracks are self-paced and offer limited and unlimited accessor audit and verified tracks respectively.

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7 Weeks
Beginner
Skills Covered:
Data science knowledge Knowledge of Data Visualization
Cybersecurity Capstone Breach Response Case Studies

Offered by

Certificate

Cybersecurity Capstone: Breach Response Case Studies

The use of computer systems to store and share data has led to the threat of cyber-attack and unauthorized access to sensitive data. This has given birth to a new branch in information technology which is named as Cybersecurity. Cybersecurity deals with the practices and processes that are made to protect data, devices, networks, and applications from damage and unofficial access.

The Cybersecurity Capstone: Breach Response Case Studies programme will provide a platform to the candidate, to attain necessary skills to work as a professional research analyst in Cybersecurity. By taking up the course, the participant will be exploring the methodologies related to incident response and the models of the security.

They will be getting insights, to categorise and recognise various important types of attacks and vulnerabilities at their workplace. Also, they will be exploring the breaches that happened in the recent past, to understand the process of identification of the threat and measures taken by the organisation to combat the threat and reduce its risks in future.

The participants will be provided with a project wherein they will be selecting a breach in cyber security, carry out analysis of the timeline of the attack, the effect of an attack on systems, by applying their knowledge and skills. The Cybersecurity Capstone: Breach Response Case Studies training course is for anyone who wants to learn the basics of cybersecurity and gradually attain expertise.  

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6 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security
Databases and Structured Query Language for Data Science with Python

Offered by

Certificate

Databases and SQL for Data Science with Python

Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment. 

The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation. 

Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.

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6 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Database Management
Introduction to Data Science

Offered by

IBM via Edx
Certificate

Introduction to Data Science

In the Introduction to Data Science online course, the students will be getting to learn about the importance and applications of data science and the use of algorithms in it. The course has been designed for six weeks. The online programme on Introduction to Data Science training by edX will be digitally hosted and covered by IBM. 

Imparted by data scientists, this programme will require 3 to 6 hours per week of study. This Introduction to Data Science classes program covers a span of topics that will enable candidates to learn about data science, tools, algorithms and other elements utilised in a business scenario. The programme is pursued online wherein the candidates can enrol as per their convenient schedule. 

Since the programme is taught by data practitioners, candidates will gain the opportunity to learn the importance of data science in present times and in times to come. A most sought-after programme, candidates can also take up other associated programmes such as Data Science Foundations, IBM Data Science and Essential Technologies for Business. Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

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6 Weeks
Beginner
Skills Covered:
Data science knowledge
Deep Learning with Python and PyTorch

Offered by

IBM via Edx
Certificate

Deep Learning with Python and PyTorch

Deep Learning with Python and PyTorch by edX is part of a two-part series on developing Deep Learning models using Pytorch. The first course in the series is titled ‘PyTorch Basics for Machine Learning’, and it covers the basics of PyTorch. Hence, you must have completed the first course to understand this programme thoroughly.

Furthermore, the Deep Learning with Python and PyTorch course syllabus aims to teach how to build deep neural networks. You will learn methods such as initialisation, dropout, batch normalisation and different types of optimisers. The programme will further explore concepts like data whitening, deep autoencoders, shallow autoencoders, autoencoder applications, etc. After you are done with all the modules, you can test your skills through the final independent project.

The Deep Learning with Python and PyTorch certification falls under the subject of Data Analysis and Statistics. This is a six-week-long intermediate-level course that will not explain things from scratch. Thus, you must have prior knowledge and interest in the field of machine learning. There are two options to join the programme, namely, verified and free audit. In the verified mode, the learners will have unlimited access to the self-paced course and in the free mode, they will have access only for a limited period. 

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6 Weeks
Intermediate
Skills Covered:
Machine learning Knowledge of deep learning
Big Data Hadoop and Spark Basics

Offered by

IBM via Edx
Certificate

Big Data, Hadoop, and Spark Basics

Business organizations now need expert big data professionals to understand customer behaviour out of the complex and unstructured data of pictures, posts, tweets, audio files, videos and satellite images. Edx here presents you with a foundational course to get started with big data and climb up the ladder of a career in the industry. Big Data, Hadoop, and Spark Basics is an introductory computer science course that provides an introductory understanding of big data and its tools. 

Big Data, Hadoop, and Spark Basics Certification, provided by edX, is a beginner-level programme offered by IBM. The online programmes will explore big data processing tools such as Apache Spark, Hive and Hadoop. Big Data, Hadoop, and Spark Basics Certification by IBM is a 6-week long programme. The self-paced programme is a free certification programme that can be upgraded to the fullest mode by paying the fee. 

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6 Weeks
Beginner
Skills Covered:
Knowledge of Big Data Knowledge of Apache Spark
Site Reliability Engineers Infrastructure Resiliency and Deployment Automation

Offered by

IBM via Edx
Certificate

SRE Infrastructure, Resiliency and Deployment Automation

6 Weeks
Intermediate
Free
Building AI Applications with Watson APIs

Offered by

Certificate

Building AI Applications with Watson APIs

The Building AI Applications with Watson APIs programme certification by Coursera will equip the learner with the skills to create applications that can leverage multiple Watson AI services (Discovery, Assistant, Speech to Text, and Text to Speech). They’ll become proficient in incorporating Watson services as well as in building interactive data retrieval systems with Discovery + Assistant.

The Building AI Applications with Watson APIs certification course which is developed by IBM and offered in the Coursera platform, gives the candidates exposure towards learning varied skills namely, Chatbot, Watson AI, Machine Learning, Python Programming and Artificial Intelligence. The programme is imparted through different ways namely videos, assignments, quizzes, recorded content and exercises. 

The Building AI Applications with Watson APIs certification by Coursera enables candidates to learn the best practices prevailing in the industry for combining Watson services via Watson Assistant and Watson Discovery. 

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5 Weeks
Intermediate
3,202
Skills Covered:
Computer skills
Introduction to Containers, Kubernetes and OpenShift

Offered by

IBM via Edx
Certificate

Introduction to Containers, Kubernetes and OpenShift

After virtualisation, cloud-native and containers are one of the most significant finds of the ITC industry. Several organisations are transitioning to this platform to gain competitive advantage. So, pursuing the Introduction to Containers, Kubernetes and OpenShift certification course will help you leverage this opportunity for personal gains. It is an intermediate-level programme for five weeks.

The introduction to containers kubernetes and openshift docker introduction has a self-directed training model. It will allow you to learn at your speed and enhance your employability quotient. After completing this course, you will develop and deploy cloud-native applications effectively. You will understand the difference between containers and virtual machines through the computer science course curriculum.

Furthermore, the Introduction to Containers, Kubernetes and OpenShift training will enable you to take on advanced roles in your organisation. It is also a beneficial programme for an individual who wants to become a cloud practitioner. The course dives into the concepts of how and why containers are important in cloud computing.

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5 Weeks
Intermediate
Skills Covered:
Knowledge of cloud computing
IBM Cloud Essentials

Offered by

IBM via Edx
Certificate

IBM Cloud Essentials

IBM Cloud Essentials certification course covers the basic tenets of IBM cloud. The students in the session will be learning about the many offerings and the services that are available on IBM cloud, making it more secure and accessible to the public along with the enterprises and developers. 

IBM Cloud Essentials online course with the introduction of IBM as a platform goes on to cover topics that include- configuring identity, data center locations, and access management. The students will be further discovering the various infrastructure-as-a-service (IaaS) functions that are available on the platform. The programme will also teach the students about the deployment method including- Kubernetes, Containers, and OpenShift. After completing the IBM Cloud Essentials training certification course students will become familiar with services that include- Watson blockchain, databases, blockchain, artificial intelligence, and others. will make the students efficient cloud practitioners and will help them to develop skills as architects. 

edX has two separate kinds of tracks which may be opted for by the candidates to complete the course. Both the tracks are self-paced but during the verified track, the candidates may see and learn the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a certain fixed period.

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5 Weeks
Beginner
Skills Covered:
Knowledge of cloud computing
Cybersecurity Compliance Framework and System Administration

Offered by

Certificate

Cybersecurity Compliance Framework & System Administration

In this data-driven world, cybercrimes are not unknown to anybody. Cyber offenders seamlessly carry out crimes beyond jurisdictions and on an online interface that is likely to trap anybody. Thus, cybersecurity mandates prove to be a golden weapon at the hands of companies and organisations with huge and sensitive databases. Cybersecurity professionals need to be a step further than offenders and henceforth require holistic knowledge of concepts. 

Cybersecurity Compliance Framework & System Administration Certification by Coursera fulfills that requirement and gives course participants the background to understand industry standards and key cybersecurity compliances. The knowledge provided throughout will prove to be beneficial for learners irrespective of the role they wish to partake in an organisation.

Candidates will get a strong grasp of the basic commands for a user and server administration related to security. Endpoint security and patch management have also been sufficiently dealt with. Finally, learners will know more about the in-depth skills around encryption and cryptography to understand their effect on the software. The intended audience of this Cybersecurity Compliance Framework & System Administration training course comprises those wishing to acquire a basic understanding of Compliance, Security Frameworks, endpoint management, cryptography, or encryption.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Cyber Security
Python for Data Science and AI and Development

Offered by

Certificate

Python for Data Science, AI & Development

Python for Data Science, AI & Development Certification by Coursera will guide candidates through the basics and technical aspects of one of the most popular programming languages which is taught widely in educational institutions due to its relevance in the industry. This course is a perfect start for learning Python for data science and programming in general. It adopts a beginner-friendly pace so anyone willing to know about Python as a programming language can take up the course.

Python for Data Science, AI & Development Certification Syllabus has been designed to train individuals with zero knowledge of programming to master Python in a matter of a few hours. Throughout the course, candidates will learn numerous things like Python fundamentals and data structures and analysis, supported by rich hands-on exercises within the course modules and additional reading material to polish their learnings from the lectures.

By the end of this course, learners will be adept in creating basic programs, solving real-world problems in Python and working with data. This course is well-suited as a free online learning programme for more advanced learning as well wherein professionals with tight schedules can pursue the course at their own pace.

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Python
Applied Data Science Capstone

Offered by

Certificate

Applied Data Science Capstone

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

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5 Weeks
Intermediate
3,384
Skills Covered:
Data science knowledge Knowledge of Python
Data Visualization with Python

Offered by

Certificate

Data Visualization with Python

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Python Knowledge of Data Visualization
PyTorch Basics for Machine Learning

Offered by

IBM via Edx
Certificate

PyTorch Basics for Machine Learning

The PyTorch Basics for Machine Learning certification programme is offered by IBM to arm you with the skills for implementing classic machine learning algorithms. You will get to know how PyTorch is used to optimise and create deep learning models. 

During the PyTorch Basics for Machine Learning training, you will learn important models such as linear and logistic regression models. This introductory-level programme will teach you how to train your models and their related concepts like gradient descent, cost and loss.

With the learnings of edX’s PyTorch Basics for Machine Learning course, you will learn to save your training and model in apps like checkpoints, early stopping and cross-validation for hyperparameter selection. Also, basics around the linear object, like their interaction with data with a distinctive number of samples and different dimensions, will be cleared.

The PyTorch Basics for Machine Learning course also includes a final project in the end to assess your skills and performance. You can even get a paid instructor-signed certification after completing the course. The learners also can audit the self-paced programme without paying the fee for a limited duration. 

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5 Weeks
Beginner
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Numpy
Applied Deep Learning Capstone Project

Offered by

IBM via Edx
Certificate

Applied Deep Learning Capstone Project

The Applied Deep Learning Capstone Project certification programme is a five-week-long online course curated by IBM. During this capstone project, you will get practical, hands-on experience in developing, training and testing a Deep Learning model. For this purpose, you will be using either PyTorch or Keras.

edX’s Applied Deep Learning Capstone Project is an advanced-level programme that is also a part of a Deep Learning professional certificate of edX. With the help of this course, you will learn how to preprocess and load data for a real-life problem, create a model and finally validate it. 

The Applied Deep Learning Capstone Project programme by edX requires only two to four hours per week to study. You will learn through video lessons and ultimately master the procedure of generating a Deep Learning pipeline. At last, you are required to present a project report to showcase your competence in the domain of Deep Learning. EdX provides two tracks to pursue the self-paced course; verified and free audit. In the former mode, the learners can access the programme unlimited and get a certificate of completion. In the free mode, they can audit it for a limited duration. 

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5 Weeks
Expert
Skills Covered:
Statistical skills Data science knowledge Knowledge of deep learning
Using GPUs to Scale and Speed-up Deep Learning

Offered by

IBM via Edx
Certificate

Using GPUs to Scale and Speed-up Deep Learning

Training sophisticated Deep Learning models takes plenty of time. The Using GPUs to Scale and Speed-up Deep Learning certification programme sheds light on how accelerated hardware like Nvidia GPU (Graphics Processing Unit) or Google’s TPU (Tensor Processing Unit) can be used to shorten computations time on the cloud.

During edX’s Using GPUs to Scale and Speed-up Deep Learning course, you will understand what accelerated GPU-based hardware is and how it can help you overcome scalability challenges in Deep Learning. You will also get familiar with IBM’s Power Systems with Power AI and Nvidia GPU.

The Using GPUs to Scale and Speed-up Deep Learning will also acquaint you with popular Machine Learning dependencies and learnings supported by Power AI. These include Caffe, Theano, Tensorflow and Torch. Lastly, with this course, you will get practical experience of deploying Deep Learning networks on accelerated hardware for numerous problems, such as classifying videos and images.

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5 Weeks
Intermediate
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning
Deep Learning with Tensorflow

Offered by

IBM via Edx
Certificate

Deep Learning with TensorFlow

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee. 

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5 Weeks
Intermediate
Skills Covered:
Statistical skills Knowledge of deep learning
Introduction to Cybersecurity Tools and Cyber Attacks

Offered by

Certificate

Introduction to Cybersecurity Tools & Cyber Attacks

The Introduction to Cybersecurity Tools & Cyber Attacks certification course is an online programme that revolves around the topics of cybersecurity. Some of the major topics of the course include terminologies used in cybersecurity, various tools and techniques used in real life, etc. The programme can be availed at zero cost in the audit mode. The course material can be accessed for free along with all the lessons available in the course. 

The Introduction to Cybersecurity Tools & Cyber Attacks online course is a beginners' level programme and does not require any specific academic requirements to get started with the course. The self-paced mode allows the user to understand the concepts thoroughly by giving them the power to choose their study timings with no deadlines to learn from the course as per their requirements. The Introduction to Cybersecurity Tools & Cyber Attacks certification syllabus will take up to 11 hours of the students' time to complete the course. The programme is a hundred percent online training and also provides shareable certification at the end of the course. 

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Cyber Security
Deep Learning Fundamentals with Keras

Offered by

IBM via Edx
Certificate

Deep Learning Fundamentals with Keras

The Deep Learning Fundamentals with Keras online course by edX is designed to familiarise you with the domain of Deep Learning. It is a five-week-long programme, during which you will learn about the basics of various Deep Learning models, the fundamentals of neural networks, and some of the most interesting Deep Learning applications.

Through the Deep Learning Fundamentals with Keras certification course, you will get practical experience, building a Deep Learning model with the powerful and easy-to-use Keras library. Also, you will develop an understanding of unsupervised and supervised Deep Learning models.

The Deep Learning Fundamentals with Keras certification syllabus is divided into four extensive modules. You are required to devote merely two to four hours every week to your studies.  As you progress across the modules, you acquire in-depth knowledge of how Keras is used to train, test and build Deep Learning models. Moreover, you will understand how neural networks learn. Upon completion, you can also get the verified certificate and earn a skill badge to showcase your acquired knowledge if you pursue it by paying free. For free, you can get a limited duration of access to the course. 

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5 Weeks
Intermediate
Skills Covered:
Knowledge of deep learning
Introduction to Containers Docker, Kubernetes and OpenShift

Offered by

Certificate

Introduction to Containers w/ Docker, Kubernetes & OpenShift

The Introduction to Containers programme introduces you to containers and how they differ from virtual machines. The curriculum also covers the significance of containers in cloud computing, along with the proliferating ecosystem of related technologies such as Kubernetes, Docker, Red Hat OpenShift, and Istio.

Throughout the Introduction to Containers course, you will apply what you have learnt with hands-on labs and exercises. From getting started with Docker to scaling and orchestration with Kubernetes, and simplifying deployments with OpenShift, the hands-on labs cover them all. You can access the labs on IBM Cloud and Skills Network Labs environments using your web browser. Moreover, you can access all the programme materials free of cost. 

You will also work on a project at the end of the Introduction to Containers programme. In this project, you will construct a container image and scale and deploy it on the cloud using OpenShift. You can also opt for Coursera’s certificate and improve your employability in this field easily, as everyone from small businesses to large MNCs is transitioning to these platforms.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of cloud computing
Introduction to Data Analytics

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Certificate

Introduction to Data Analytics

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

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5 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Knowledge of Excel

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