Self Paced Program 

AI Literacy for Professionals



to AI and Data Science

For those re-entering the workforce, or professionals looking to upskill in AI

Professional Female

Why should you take this course?

AI is all around us and is being adopted in every industry. For those re-entering the workforce, Data Science (the core skill behind AI) is a great skill to learn. For professionals looking to improve their understanding of AI (Lawyers, Teachers, Doctors, Accountants, Marketing Professionals, etc.), it is a great way to understand how AI technology works and to apply this knowledge in your domain. 

How does the course work?

This course has been structured to cater to busy professionals

  • Self Paced. Learn at your own pace and on your own schedule

  • Completely online. Nothing to install on your computer. Just bring your Chrome browser and Wifi

  • 25 Learning Modules. 

  • 50+ Learning Videos

  • 10+ Hands-on exercises 

  • Quizzes and reviews to help you evaluate what you have learned

  • A learning community of fellow students to discuss your insights with!

  • Direct connection to mentors to ask questions and discuss learnings

Proven curriculum. This course has been taken by over 120 students 

In this starter course

  • What Artificial Intelligence is and how it works

  • Core concepts such as Learning and Prediction, Algorithms, Models, and Training

  • How AIs learn, and the relationship between AI and Data, and where Data Science comes from

  • How AI products are built by real-world businesses - the lifecycle of an AI in business

  • Different types of AI algorithms and what they can be used for

  • How to understand the strengths and weaknesses of an AI

  • Real-life use cases of AI from Digital Assistants to Self Driving Cars.

  • How to envision and build your own AI use case (no coding needed unless you want to!)

Child at the Doctor

Course structure

  • The course is made up of 25 modules, each 1 hour. Multiple lesson items per module and over 50 learning videos across the course.

  • Self-paced and online. Curriculum designed by PhDs in Computer Science and Artificial Intelligence with added background on AI application in varied contexts from Finance to Medicine to the Internet of Things.

  • Each session includes Concepts (how AIs work), Context (how it is used by businesses), Capabilities (How to apply AI learnings) and Creativity (brainstorm new use cases in your domain)

Professional Male
Doctor and Patient
Professional Young Woman

After completion, partcipants will be able to:

  • Understand what AI is and how it is being applied in various fields

  • Be able to ask the right questions about how AI is being used in their domain

  • Make their own decisions about which AI techniques are suitable for them and which are not

  • Follow on to deeper areas of AI as they find interest. This tailored course is those re-entering the workforce or professionals in other fields who want to learn about AI to upgrade their skills.

Each participant who completes the course will receive a Certificate of Accomplishment from AIClub, signed by our internationally recognized AI Expert Mentors.

Schedule and Price

Enroll anytime

Self Paced




Dr Nisha Talagala

CEO and founder of AIClub and Pyxeda AI


Previously, Nisha co-founded ParallelM whichpioneered the MLOps practice of managing machinelearning in production, acquired by DataRobot. Nisha isa recognized leader in the operational machine learningspace and has more than 20 years of expertise insoftware development, distributed systems, technicalstrategy, and product leadership. Nisha earned herPh.D. at UC Berkeley where she did research on clustersand distributed systems. Nisha co-chairs the annualconference on production machine learning (OpML).Nisha holds 73 patents in distributed systems andsoftware, is a frequent speaker at industry andacademic events, and is a contributing writer to Forbesand other publications.


Dr Sindhu Ghanta

Head of Machine Learning, AIClub


Sindhu received the M.S. degree from Texas TechUniversity in 2010 and the Ph.D. degree in electrical andcomputer engineering from Northeastern University,Boston, USA, in 2014. She was a Post-Doctoral Fellowwith BIDMC and the Department of Pathology, HarvardMedical School, where she was involved in the detectionand classification of features from histopathological(breast cancer) images. She worked as a researchscientist with Parallel Machines on monitoring thehealth of machine learning algorithms in production andhas many publications on ML innovations. She currentlyworks as the Head of Machine Learning for AIClub.