AI for Developers Course in Nagpur

Twelve weekends to go from calling an LLM API to shipping a deployed GenAI app with RAG and agents.

Duration
12 weeks (weekends)
Fee
₹35,000 incl. GST
Mode
Classroom + live online
Batch size
Max 20 students
Certificate
Certificate of completion

Course Overview

This course is for developers who already write code and want to build real AI features. We skip the hype and focus on what works in production.

Each weekend covers one building block: prompts and structured output, embeddings, RAG, tool calling, agents, evaluation and deployment. You build one project across the course and keep improving it.

You can join in the classroom in Nagpur or live online, so it fits around a full-time job.

Who this course is for

  • Software developers, full-stack and backend engineers
  • Testers and support engineers moving into development and AI
  • Developers who have tried ChatGPT and now want to build with LLMs
  • Tech leads who need hands-on understanding of GenAI systems
See: AI courses for working professionals

Curriculum

  1. Week 1

    LLM fundamentals for developers

    • Tokens, context windows and model choice
    • Calling LLM APIs
    • Cost and latency basics
  2. Week 2

    Prompting and structured output

    • System prompts and examples
    • JSON and schema-based output
    • Handling failures and retries
  3. Week 3

    Embeddings and search

    • What embeddings are
    • Vector databases
    • Semantic search over documents
  4. Week 4

    Building RAG

    • Chunking and indexing
    • Retrieval and answer generation
    • Citing sources
  5. Week 5

    Improving RAG quality

    • Re-ranking and hybrid search
    • Evaluation datasets
    • Measuring answer quality
  6. Week 6

    Tool calling

    • Function calling patterns
    • Connecting APIs and databases
    • Validation and safety checks
  7. Week 7

    AI agents

    • Agent loops and planning
    • Memory and state
    • When not to use an agent
  8. Week 8

    Agent workflows

    • Multi-step workflows
    • Human-in-the-loop approval
    • Debugging agent behaviour
  9. Week 9

    APIs and front ends

    • Serving AI features with FastAPI
    • Streaming responses
    • A simple web UI
  10. Week 10

    Deployment

    • Docker basics
    • Deploying to the cloud
    • Configuration and secrets
  11. Week 11

    Production readiness

    • Guardrails and prompt injection
    • Logging and monitoring
    • Controlling cost
  12. Week 12

    Capstone demo

    • Finish and deploy your project
    • Code review with the trainer
    • Present to the batch

Projects You Will Build

  • Support chatbot over company docs

    A RAG app that answers questions with sources, with an evaluation set to measure quality.

  • Data extraction service

    Turn emails or invoices into clean JSON using structured output.

  • Task agent

    An agent that uses tools such as search, a database and an API to complete multi-step tasks.

  • Deployed capstone

    Your own GenAI app, containerised and deployed, presented at the end of the course.

Tools Covered

  • Python
  • LLM APIs
  • Embeddings
  • Vector databases
  • LangChain / LangGraph
  • FastAPI
  • Docker
  • Git & GitHub

Fee & EMI

₹35,000

including GST

Ask us about payment options when you visit for the demo class.

What is included

  • Hands-on projects
  • Certificate of completion
  • Recorded session access
  • Doubt-solving sessions

The certificate of completion is issued by Webnetis when you finish the course. About our certificates

Batch Timings

Small batches of up to 20 students, so your trainer knows your name and your code.

  • Weekday morning

    9:00 – 11:00 AM

  • Weekday evening

    7:00 – 9:00 PM

  • Weekend (Sat–Sun)

    10:00 AM – 1:00 PM

Book a Free Demo Class

Meet the trainer, see the classroom and ask every question before you decide. Parents are welcome.

Every Saturday, 11:00 AM – 12:30 PM · Also bookable on weekdays by appointment

AI for Developers: Frequently Asked Questions

What do I need to know before joining?

You should be comfortable writing code in at least one language and using Git. Python is used in class; if you know another language, the Python for AI course is a quick way to catch up.

Can I attend online?

Yes. This course runs in the classroom in Nagpur and live online. Online students join the same sessions and work on the same projects.

Will this help me switch from testing or support into development?

It can, if you put in the practice. You will finish with a deployed project and code on GitHub, which gives you something concrete to show in interviews.

Do I need to bring a laptop?

Lab computers are available in the classroom, but we recommend bringing your own laptop so you can practise at home.

Which language is the class taught in?

Classes are taught in English, Hindi and Marathi. Trainers switch language whenever it helps you understand a concept better.

Can I attend a demo class before I pay?

Yes. The free demo class runs every saturday, 11:00 am – 12:30 pm. Also bookable on weekdays by appointment. Message us on WhatsApp at +91 84213 41253 to book a seat.

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