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All courses / AI foundations
BEGINNER · CURRICULUM COURSE
Generative AI Foundations
Understand language models, write useful prompts and recognise where human judgement matters.
CONCEPT AND CURRICULUM COURSE50 hours
Live, interactive classes with time for every learner's questions and code reviews.
Request this batch A 5–10 learners batch starts once enough learners ask. You confirm and pay only when dates are set.IS THIS FOR YOU?
Start with the right foundation.
Who this course is for
Students, professionals and curious beginners who want a practical starting point.
Before you begin
Comfort using a browser and writing clear instructions. No coding required.
YOUR CURRICULUM
Read it.
Try it.
Make it yours.
Work through the modules in order. Use the supporting guide for context, then complete the practice task before moving on.
Written lessons and self-guided practice. Live sessions and mentorship are arranged separately.
01Understand what a model does
A language model generates a continuation from the context you give it. Fluency does not prove accuracy. Start by separating tasks that need generation from tasks that need a reliable source or a calculation.
PUT IT INTO PRACTICE
Read the supporting guideList five tasks from your day. Mark which need generation, retrieval, calculation or a human decision.
02Turn a task into a clear prompt
State the task, provide relevant context and define the output format. Include constraints and examples when they help. Test one change at a time so you can see which instruction improved the result.
PUT IT INTO PRACTICE
Read the supporting guideWrite one vague prompt and one structured version for the same task. Compare both outputs against three criteria.
03Use examples deliberately
An example can clarify a format or a decision boundary. Choose representative examples and include a difficult case. Keep a separate case for testing so copying an example is not mistaken for understanding.
PUT IT INTO PRACTICE
Read the supporting guideCreate two examples of the response you want, then test a new input without changing the examples.
04Check the output
Treat generated facts as claims to verify. Check names, dates, quotations and numerical statements against suitable sources. Decide in advance what the system should do when evidence is missing.
PUT IT INTO PRACTICE
Read the supporting guideReview an output, identify unsupported claims and rewrite it with explicit uncertainty and source links.
05Build your working playbook
Keep the prompt, example input, expected behaviour and review checklist together. Record limitations so a future user understands when to stop and ask for help.
PUT IT INTO PRACTICE
Read the supporting guideDeliver a three-task prompt workbook with one successful example and one failure case per task.
AFTER YOU FINISH
A certificate, and support for what comes next.
Finishing Generative AI Foundations is planned to include the support below. It opens with the first batch; enrolment pages confirm what is included before you pay.
Completion certificate
Issued with a unique ID once your final project passes review. It records what you built, not just attendance.
Certification policyJob-readiness support
Portfolio and GitHub review, resume feedback, a mock interview and referrals when suitable openings come up. No placement guarantee.
Career mentorshipFreelancing support
Guidance on pricing, proposals and your first client project, plus a review of your freelance profile and portfolio.
Build client-style projectsStartup community
An invite to the Innovate with Ajay community to meet builders, find co-founders, join hackathons and get feedback on product ideas.
Explore the communityYOUR NEXT LEARNING STEP
Want to learn this?
Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
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