IBM: AI for Everyone: Master the Basics
Discover the definition of artificial intelligence (AI) by comprehending its uses and fundamental ideas, such as neural networks, deep learning, and machine learning.
8 h
IBM Generative AI Engineering
Develop the job-ready generation AI skills that businesses require. In just 6 months, you may learn highly sought-after generation AI engineering abilities and gain real experience. No prior experience is required.
IBM AI Foundations for Business
Understand what is AI, its applications and use cases and how it is transforming our lives
24 h
IBM Back-End Development
Prepare to work as a back-end developer. Learn in-demand skills and gain hands-on experience in less than 6 months.
480 h
IBM Applied DevOps Engineering
Develop your career in the high-demand field of DevOps. Improve your software development skills by learning the latest DevOps concepts, tools, and technologies in order to be job ready in less than three months.
120 h
Advanced Data Science with IBM
Advanced Data Science with IBM from IBM. As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning.
80 h
IBM Technical Support
Begin your rewarding new career in technology. In as little as three months, you will have job-ready skills valued by employers. There is no need for a degree or prior experience to get started.
64 h
IBM Mainframe Developer
Analyst Mainframe COBOL Programmer Developer. COBOL is a programming language that you can learn and use.
96 h
IBM DevOps and Software Engineering
Begin your career in DevOps and software engineering. With hands-on job-ready skills in DevOps, Agile, Scrum, CI/CD, and Cloud Native, you'll be able to master DevOps, Agile, Scrum, CI/CD, and Cloud Native.
99 h
Linux and Private Cloud Administration on IBM Power Systems
Learn how to use Linux and Cloud Computing. Discover how businesses use and manage Linux in a private cloud environment.
48 h
IBM Introduction to Machine Learning
Real-world use cases are used to teach machine learning. Develop the skills needed for a career in one of the most relevant fields of modern AI by working on hands-on projects and learning from IBM experts.
36 h
IBM Data Engineering
Offered by IBM. Launch your new career in Data Engineering. Master SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data and Spark with.
120 h
IBM: Agile and Scrum Fundamentals
This course will be beneficial to anyone who wants to begin working Agilely. It is very useful for IT professionals including software developers, development managers, project managers, product managers, and executives.
12 h
IBM Full-Stack JavaScript Developer
Start your full-stack JavaScript developer career. Develop the necessary skills and hands-on experience to become job-ready in under four months. No prior experience is required.
160 h
IBM Data Warehouse Engineer
Kickstart your Career in BI Engineering. Develop job-ready skills for an entry level role in Data Warehousing.
96 h
Subjects
⏱️ Learning takes time ✨ AI makes it faster
Discount Offers
Get 50% off on Skillshare Monthly or Annual plan 
Domestika courses upto 70% off . Extra 10% off with coupon: COURSESITY 
Get upto 80% off on Udemy
50% off on DataCamp for everything 
Save with 50% off on all courses Udacity 
50% off Pro & Student-Annual on Codecademy 
$1 for the first month of Coursera Plus Monthly 
Upto 15% discount on Educative coding courses 
Buy 1 membership, gift 1 Free for Masterclass