The web is a treasure trove of knowledge for those who know how to use it correctly. Aspiring AI professionals, too, can benefit from online resources immensely. From freshers who wish to learn Data Science or Machine Learning to non-IT professionals who wish to switch to the Data Science Industry to Computer Science graduates with weak programming skills, there is something on offer for everyone.

We have curated a list of courses from the FutureSkills Prime platform for those who wish to launch a career in AI. What's more, learners can earn industry recognised certificates, prepare for SSC assessments, earn badges that can be added to their LinkedIn profile.

• Artificial Intelligence Foundations – by SkillUp Online: This one-of-a-kind foundational AI program has been designed by the industry, for the industry. You will learn about AI broadly as a topic, ranging from its basic requirements, applications, and the careers associated with it. You will get exposure to relational databases, statistics and Python that play an important role in AI development. With over 10 hours of hands-on practice on tools, you will get working knowledge of the technology.
• Data Science Using Python – by Digital Vidya: This course is designed to train participants into Data Analysis using Python and step into Machine Learning. By the end of the course participants will learn to perform various analytical techniques and data visualization using Excel, SQL and Power BI.
• Python Programming – by Digital Vidya: Python language is one of the most popular programming languages which has seen a 10% increase in the number of users, year on year. It is the leading language used in the Data Science industry. By taking a Python course and learning Python Programming to take a Python Certification, you will pave a way to opportunities much larger than you ever had.
• Data Science with Python – by MindMap Consulting: Become the change agents in business by developing correct strategy using the power of data insights to drive growth and efficiency in business processes. Since this course trains candidates from scratch, anyone with basic maths and statistics skills should be able to complete this course.
• Machine Learning – by Digital Vidya: This course will unlock new opportunities and job positions like Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist. You will build the foundation of statistics, SQL, Exploratory Data Science, Machine Learning, Visualisation using both Python and Tableau. 
• Full Stack Data Science and AI Program – by Naresh Technologies: Trainees will be trained across the whole stack of data science, or to put it simply, a Full Stack Data Scientist can play the role of Data Engineer, Data Modeller and Data Analyst. There are special Python batches for trainees from non-programming background or non-CSE/IT academics or weak in programming.
• Data Science with Python – by Corestack: This Virtual Lab offers access to Jupyter which allows creation of Python & PySpark notebooks and execute them.
• Data Science with R – by Corestack: This Virtual Lab offers access to RStudio which allows coding with R programming language and executing them. Therefore, it helps learners to get hands-on experience in Data Science with R.
• Fundamentals of Data Analytics – by Leaps: This course focusses on the building blocks of analytics and statistics to understand the foundations of Data Analytics. Upon completion of this course, you will get a certificate by Analyttica and a co-branded certificate by FutureSkills Prime and Analyttica.
• Foundation Big Data Analytics – by Digital Vidya: Get introduced to popular big data systems and platforms, as well as tools like Mapreduce, Spark etc. Learn with industry-use cases and understand the fundamentals of big data processing systems, analytics & visualizations. In this 55-hour long course, with 9 tools, 3 projects and 32 assignments, you will evaluate trends and understand the features of databases. It will take you through platforms, processing, management and analytics. By the end of this course, learners will develop a thorough understanding of how Big Data Analytics works and how it is transforming businesses.