Page 4 - List of all Courses & Certifications - Eligibility, Fees, Duration, Career Options

Offered by

IBM via Coursera

Certificate

Building Deep Learning Models with TensorFlow

In Building Deep Learning Models with TensorFlow course, learners will obtain a hands-on experience with the TensorFlow library as a strong mechanism for the application of Deep Learning to real-world issues.

The course efficiently combines Machine Learning and Data Science to impart an all-rounder learning on building Deep Learning models. As a part of the IBM AI Engineering Professional Certificate, students will grasp all fundamentals of Machine learning and Deep Learning, including the use of Python.

Hands-on projects will provide the course takers with essential Data Science skills and unsupervised learning. Candidates will also build, deploy and train their Deep Learning models and adopt various features of the TensorFlow library in them. Since the majority of data in the world is unstructured and unlabelled, shallow neural networks find it difficult to capture structures in data comprising sound, images and texts.

However, deep networks are capable of performing this function and hence this course has been created to provide an Intermediate Level of knowledge of how to go about it. IBM is a major player in the industry by providing a broad portfolio to its trainees for software development, predictive analytics, and systems management. Its expertise in technology and R&D is incorporated into the course curriculum.

2 Weeks

Intermediate

₹ 1,914

Compare

Skills Covered:

Knowledge of deep learning

Offered by

IBM via Coursera

Certificate

Introduction to Computer Vision and Image Processing

The Introduction to Computer Vision and Image Processing by Coursera is the last course in IBM Applied AI Professional Certificate. This Specialization comprises six courses devoted to Computer Vision and its numerous applications across sectors. The certification course takes approximately 15 hours to complete, while the teaching medium is English.

Many industries such as robotics, face detection, and augmented reality employ computer vision and the vast implementations make IIntroduction to Computer Vision and Image Processing course very exciting. The course curriculum will furnish you with essential skills, including OpenCV, Watson, AI, and more.

Furthermore, the Introduction to Computer Vision and Image Processing certification course is offered by IBM (International Business Machines Corporation), a multinational consultancy and technology company headquartered in Armonk, New York.

The Introduction to Computer Vision and Image Processing programme is a beginner-level course with flexible deadlines. Enjoy a comfortable learning experience with this exciting course in AI and Machine Learning, and get a completion certificate from Coursera.

2 Weeks

Beginner

₹ 2,699

Compare

Skills Covered:

Knowledge of Artificial Intelligence

Offered by

IBM via Edx

Certificate

Developing Cloud Native Applications

The Developing Cloud-Native Applications certification course is offered by IBM. The training is also associated with two other professional certificate programs, namely ‘Full Stack Cloud Developer’ and ‘Cloud Application Development Foundations’. This course familiarises you with the tools and services required to deliver and deploy applications on the cloud continuously.

The Developing Cloud-Native Applications certification syllabus provides you with a holistic understanding of JSON data formats and how REST APIs work. Furthermore, you also get to use a Web IDE and GIT while learning how to create and manage your code. From creating a GIT repository to manage the source code to identifying and navigating database services in the IBM cloud, this course helps you gain industry-relevant skills with ease.

Upkar Lidder, who has multiple years of experience working as a Senior Software Engineer at IBM, will be your instructor for the Developing Cloud-Native Applications online training. The course is an intermediate-level study, and you can learn at your own pace. You can also purchase a verified edX accreditation after finishing the course. For pursuing the programme, basic knowledge of cloud concepts, cloud application development, HTML, and Javascript is required. 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.

2 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

Web application development skills

Offered by

IBM via Edx

Certificate

Introduction to Cloud Development with HTML5, CSS3, and JavaScript

Introduction to Cloud Development by edX is an open online certification course. This course aims to teach you the skills necessary to become a professional Cloud developer. Hence, you will learn about programming tools and languages needed to develop web applications and Cloud on your own.

Since this is an introductory course, you will begin learning how internet servers work and how applications are delivered to users. The Introduction to Cloud Development certification syllabus will further explore back-end, front-end, and full-stack development.

You will get to learn languages used in front-end development, such as HTML, CSS3 and JavaScript. This programme consists of six modules in total, and the last one consists of the final assignment that will enable you to apply your new knowledge.

The Introduction to Cloud Development certification is a course in Computer Science offered in association with IBM. You can complete the course in a span of four weeks and obtain a verified certificate to share on LinkedIn if you take it in the verified mode by paying the fee. The free mode allows the candidates to audit the programme for a limited duration.

2 Weeks

Intermediate

Compare

Skills Covered:

Knowledge of CSS Web application development skills

Offered by

IBM via Coursera

Certificate

Computer Networks and Network Security

The Network Security & Database Vulnerabilities certification course is training that provides an online learning experience. Students will be able to understand local area networks, TCP or internet protocol, networking security systems, etc. in the programme. Students will be able to learn about cybersecurity and the attacks and challenges faced by the industry through the Network Security & Database Vulnerabilities online course.

Along with networking, the curriculum of the programme also discusses database vulnerabilities and the tools that are used in the research process of a database. The lessons of the programme can be pursued by the user in the audit mode which requires no amount to be paid for the course. The course allows flexible deadlines and takes up to 14 to 16 hours to complete the Network Security & Database Vulnerabilities certification syllabus. Students who have any language barrier can use the subtitles given in the programme such as French, Arabic, Spanish, Vietnamese, Russian, German, Italian, Portuguese, and English. The students can also obtain a certificate at the end of the course upon the successful completion of the course.

2 Weeks

Intermediate

₹ 8,418

Compare

Skills Covered:

Database knowledge SQL knowledge Networking Knowledge of Cyber Security

Offered by

IBM via Coursera

Certificate

Introduction to Big Data with Spark and Hadoop

Introduction to Big Data with Spark and Hadoop is a beginner-level online course offered by Coursera in collaboration with IBM. The course, which can be covered in about 2 weeks, will guide and introduce the learners to Big data with Spark and Hadoop. Introduction to Big Data with Spark and Hadoop Certification Course is part of two different programmes or specializations offered by IBM, namely, IBM Data Engineering Professional Certificate and NoSQL, Big Data, and Spark Foundations Specialization.

Introduction to Big Data with Spark and Hadoop Training, provided by Coursera, will help the learners to learn Big Data with Hadoop, the implication of Big Data in Big Data Analytics, Resilient Distributed Datasets (RDDs), and many more. Introduction to Big Data with Spark and Hadoop Certification by Coursera demands from the learners 7 weeks of study. The course will provide the candidates with an insight into the Big Data processing tools and their features, limitations, benefits, and applications.

2 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Knowledge of Big Data Knowledge of Apache Spark

Offered by

IBM via Coursera

Certificate

ETL and Data Pipelines with Shell, Airflow and Kafka

The term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera.

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.

2 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Knowledge of Kafka

Offered by

IBM via Coursera

Certificate

Introduction to Relational Databases (RDBMS)

The term relational database refers to a particular kind of database that stores and makes available connected data items. On the relational model, an easy-to-understand method of representing data in tables, relational databases are built. Introduction to Relational Databases (RDBMS) certification course is taught by Sandip Saha Joy - Data Scientist, Rav Ahuja - Global Program Director, Lin Joyner - Senior Instructional Designer & Content Developer, and is developed by IBM Skills Network and Rose Malcolm - Senior Instructional Designer & Content Developer, which is delivered by Coursera.

Introduction to Relational Databases (RDBMS) online course focus on assisting individuals in recognising the many database types that are suitable for the particular sorts of data they are working with and the processing requirements as well as providing individuals with a good understanding of how information is stored, analyzed, and retrieved. Introduction to Relational Databases (RDBMS) online classes incorporate 2 weeks of hands-on practical learning materials to help individuals in learning the methodologies for building relational data models and the approaches to use them with their data.

2 Weeks

Beginner

₹ 1,699

Compare

Skills Covered:

Database Management

Offered by

IBM via Edx

Certificate

Django Application Development with SQL and Databases

development. If a substantial amount of information is stored in different databases, either in the cloud or on-premises, web developers will use a language like SQL. Django is a high-level Python web framework that makes it easy to build secure, easy-to-maintain websites quickly. It also allows one to concentrate on writing applications without having to reinvent the wheel. Django Application Development with SQL and Databases certification course is designed by Yan Luo, Ph.D. a data scientist and web developer at IBM Canada, and Rav Ahuja a global program director at IBM, and is presented by Edx.

Django Application Development with SQL and Databases online classes offers two weeks of digital lectures with six to eight hours per week of study and learning resources which are aimed at individuals seeking to learn about the fundamentals of SQL, a programming language for querying data, managing data, as well as the fundamentals of cloud databases, Object-Relational Mapping (ORM), and using Object-Oriented Programming (OOP) languages to deal with databases. Applicants will be introduced to Django, which is a rapid and efficient open-source web framework utilized by developers.

The Django Application Development with SQL and Databases online training is designed to recognize the database and how to model data, and create SQL queries to insert, select, update, and delete data in a database. The aspirant will comprehend the object relationship model (ORM), and integrate bootstrap into the Django framework which creates interactive web pages, as well as the participant, will assess Django to design database-driven apps, including creating and deploying a cloud-based Django application. Learners can select either the free audit track with limited access or upgrade directly to the paid verified track

2 Weeks

Intermediate

₹ Free

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Skills Covered:

Knowledge of cloud computing Web application development skills Knowledge of IBM Framework Knowledge of CSS Knowledge of Python Database knowledge SQL knowledge Programming skills

Offered by

IBM via Coursera

Certificate

2 Weeks

Intermediate

Compare

Offered by

IBM via Coursera

Certificate

Supervised Machine Learning: Regression

2 Weeks

Intermediate

Compare

Offered by

IBM via Coursera

Certificate

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems.

1 Weeks

Intermediate

₹ 1,914

Compare

Skills Covered:

Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning

Offered by

IBM via Coursera

Certificate

Building AI Powered Chatbots without Programming

Building AI-Powered Chatbots without programming certification course is offered by IBM and is conducted by Coursera. The programme attracts a vast number of candidates that want to learn to develop Chatbots without any need for coding for it.

With a rise in the demand for Chatbot, this Coursera programme is ideally a programme that should not be missed by professionals who are aiming to build a career in this field. The programme is flexible in nature so that it can be easily pursued by professionals. Moreover, the course gives a certificate of completion, if the candidate fulfills all the key requirements of the Building AI-Powered Chatbots Without Programming training programme. The course can be of tremendous help in finding job opportunities in top companies across the globe.

The programme will be delivered via videos, pre-recorded content, and practice exercises which will help the candidate in gaining both theoretical as well as practical information on the subject.

1 Weeks

Beginner

₹ 1,914

Compare

Skills Covered:

Computer skills

Offered by

IBM via Coursera

Certificate

Introduction to Cloud Computing

The Introduction to Cloud computing online course by Coursera has been designed for those who wish to understand the essential characteristics of cloud computing from a business perspective. Students will not only gain foundational knowledge about cloud computing but also learn the necessary skills to become a cloud practitioner.

The Coursera Introduction to cloud computing training course explores the field of cloud computing by going back to history and also, the cloud-enabled, emerging technology use cases. The course is an introduction to some of the prominent service providers such as Google, IBM, AWS and Microsoft and explores them through case studies.

Furthermore, the Coursera Introduction to Cloud computing certification course is an online self-paced learning course that allows the students to learn about the various cloud service and deployment models at their own speed and from the comfort of their own homes. Completing this course will earn you a Certificate as well as a cloud computing core IBM digital badge.

1 Weeks

Beginner

₹ Free

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

IBM via Coursera

Certificate

Introduction to R Programming for Data Science

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

1 Weeks

Beginner

₹ 1,699

Compare

Skills Covered:

Data science knowledge R Programming

Offered by

IBM via Coursera

Certificate

Python Project for Data Science

The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.

Python Project for Data Science online training involves 8 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more.

1 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Data science knowledge Knowledge of Python

Offered by

IBM via Coursera

Certificate

Data Visualization with R

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 1 week of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

1 Weeks

Beginner

₹ 1,699

Compare

Skills Covered:

Data science knowledge R Programming Knowledge of Data Visualization

Offered by

IBM via Coursera

Certificate

Python Project for AI & Application Development

The Python Project for AI & Application Development online certification was developed by IBM Skills Network and is taught by Ramesh Sannareddy, a Data Engineering Expert, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, which is available through Coursera and is intended to help students gain an understanding of the techniques to put their knowledge of the strategies and concepts of python to use for artificial intelligence operations and developing applications.

Students are strongly encouraged to take IBM's “Python for Data Science, AI, and Development” course before enrolling in the Python Project for AI & Application Development online training. Python Project for AI & Application Development online classes cover subjects including status code analysis, application testing, and python packages and tools like Flask and Theia labs. By the end of the course, students will have the skills necessary to start utilizing Python to develop AI-powered applications, create and execute unit tests, and distribute the application.

1 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Knowledge of Python Knowledge of Artificial Intelligence Web application development skills

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