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Generative AI

A hands-on course on today's generative AI stack — prompt engineering, working with large language models, retrieval-augmented generation (RAG) and building AI-powered applications.

Duration3 Months
ModeClassroom / Online
LevelIntermediate
Batch SizeSmall batches
Python OpenAI/Claude APIs LangChain Vector DBs Git
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Course Fees
Contact for Fees
Flexible EMI options available
  • ✓ Certificate on completion
  • ✓ Free demo class before enrolling
  • ✓ Placement assistance included
  • ✓ Capstone project & portfolio
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Syllabus

What you'll learn, module by module.

⬇ Download Full Syllabus (PDF)

1Foundations of Generative AI›
How LLMs and diffusion models work, at a practical level.
  • How large language models (LLMs) work — transformers, tokens and embeddings
  • How diffusion models generate images — a practical overview
  • Popular models and platforms — GPT, Claude, Gemini, Stable Diffusion
  • Use cases and limitations of generative AI
2Prompt Engineering›
Designing reliable prompts, few‑shot examples and evaluation.
  • Prompt design principles — clarity, context and constraints
  • Few-shot prompting and example-based prompting
  • Chain-of-thought and structured prompting techniques
  • Evaluating and iterating on prompt quality
3Building with LLM APIs›
Calling model APIs, function calling and structured outputs.
  • Calling LLM APIs — requests, responses and parameters
  • Function calling/tool use for structured tasks
  • Generating structured outputs (JSON) from models
  • Handling errors, rate limits and cost management
4RAG & Vector Databases›
Connecting your own data to an LLM for accurate answers.
  • Embeddings and semantic search fundamentals
  • Vector databases — storing and querying embeddings
  • Building a Retrieval-Augmented Generation (RAG) pipeline
  • Connecting your own documents/data to an LLM for accurate answers
5Capstone Project›
Build and ship a working AI‑powered mini‑application.
  • Designing an AI-powered mini-application from scratch
  • Integrating LLM APIs, prompts and (optionally) RAG
  • Building a simple front end/interface for the application
  • Deployment and final project demo
Certification

Finish with proof of what you can build.

🎓

Netwisdome Training Institute Course‑Completion Certificate

Awarded on completion of the Generative AI track and its capstone project — documenting the exact skills and project you delivered, ready to show employers.

FAQs

Common questions about this course.

?Do I need a coding background to join?›
No — each course starts from the fundamentals. Some tracks (like Robotics AI or the Full Stack tracks) move a little faster if you already know basic programming, but no prior experience is required.
?Is this course available on weekends?›
Yes. Weekday, weekend and evening batches are available — pick whichever fits your schedule during enrollment or the free demo class.
?Will I get a certificate?›
Yes, every course ends with a course‑completion certificate documenting the exact skills and capstone project you delivered.
?Is placement assistance included?›
Yes. All courses include resume reviews, mock interviews and referrals to our hiring partners once you're ready — see the Training & Placement page for the full process.
?Can I book a free demo before enrolling?›
Absolutely — use the "Book Free Demo" button on this page or the Contact page to schedule a no‑obligation demo class with the trainer.
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