Beginner
Prompt Engineering
Get reliable results from AI
Write prompts that produce accurate, consistent output for work, study and products.
- Duration
- 1 month
- Mode
- Online & Offline
AI Academy · How modern AI actually works
Generative AI Fundamentals
Understand LLMs, image models, tokens, embeddings and responsible AI. No maths degree needed.
Course at a glance
- Duration
- 1 month
- Mode
- Online & offline
- Level
- Beginner
- Live projects
- 1 real project
- Certificate
- Yes, on completion
- Fees
- Ask us for current fees
Who it's for
Is this course right for you?
- Students exploring a career in AI
- Professionals who want to understand the AI tools they use
- Developers preparing to build AI applications
Prerequisites
None
Outcomes
Skills you'll master
- How large language models work
- Tokens, context windows and embeddings
- Text, image and audio generation
- Retrieval-augmented generation (RAG) concepts
- AI safety, bias and responsible use
Tools you'll use
- Claude
- ChatGPT
- Image generation tools
- Notebook environments
Syllabus
What you'll learn, module by module
Every module mixes short concept sessions with practical tasks, so you apply each idea the same day.
01The AI landscape
1 practical task
From classic ML to generative AI, explained simply.
Topics
- AI vs ML vs deep learning
- What LLMs are
- Key players & models
Practical tasks
- Compare model outputs on the same tasks
02Inside generative models
1 practical task
Build real intuition for how outputs are created.
Topics
- Tokens & context
- Embeddings
- Image & audio models
Practical tasks
- Explore embeddings with a simple semantic search demo
03Using AI responsibly
1 practical task
Limits, risks and best practice.
Topics
- Hallucinations
- Bias & fairness
- Privacy & data
- Copyright
Practical tasks
- Write an AI usage policy for a small business
Live projects
Real projects you'll build
Not textbook exercises. You build real work with real requirements, reviewed by mentors, and it all goes into your portfolio.
AI explainer project
Research and present a real-world generative AI use case.
Career guidance
Career guidance & interview preparation
Skills get you noticed; confidence gets you hired. We prepare you for both, honestly. We don't promise placements, we make you genuinely ready.
Certificate
Webystack course completion certificate, awarded after you complete the practical tasks and live project, not just attendance.
- Portfolio review: your live projects presented the way recruiters and clients want to see them
- Resume and LinkedIn profile guidance for developer roles
- Mock technical interviews with honest, detailed feedback
- Freelancing basics: finding clients, pricing and delivering projects
- Career guidance sessions on roles, salaries and growth paths
FAQ
Generative AI Fundamentals: FAQs
What are the fees and batch timings?
Fees depend on the course and mode (online or offline). Message us on WhatsApp or call for current fees and the next batch dates. We're happy to help you choose.
Do you guarantee placement?
No. We don't offer placement or job guarantees. We guarantee expertise-level training: you keep practising until you can genuinely do the work, plus real project experience, a portfolio and interview preparation.
Can I learn online if I don't live in Deesa?
Yes. Online batches are live and interactive, with the same curriculum, live projects and code reviews as our classroom batches.
What if I miss a class?
Mentors help you catch up, and practical tasks are reviewed individually, so you never fall behind without support.
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- Duration
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- Mode
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Start Generative AI Fundamentals with Webystack
Join the next batch, online or in our Deesa classroom. Message us for fees and dates.
Or call us: +91 99745 37938