A structured-output assistant
Reliable JSON from an LLM, with retries and validation instead of hoping the format holds.
Academy · Applied AI & Agents · 10 weeks
Applied AI and agents course, live online.
Ten weeks of live online classes on the parts of AI that demos skip — retrieval, tool use, evaluation and cost — taught by engineers who build AI agents for clients.
- Duration10 weeks
- FormatLive online
- LevelDevelopers
- StackPython · LLMs · RAG · Tools
Bright Infonet’s Applied AI & Agents course is a 10-week live online program for developers in Chandigarh and across India. You learn LLM APIs, retrieval-augmented generation, tool-using agents, guardrails and evaluation in Python, and finish by building an agent that automates a real business workflow, with evals to prove it works.
Most generative AI courses stop at prompting and a chatbot demo. This track is for developers who want to build AI that does real work inside a business: reading documents, calling tools, asking a human before risky actions and staying within a cost budget.
You start with LLM fundamentals and APIs, then build retrieval over your own documents with embeddings and vector search. From there you wire up tool-using agents with memory and guardrails, and finish with evals, cost tracking and monitoring — the same practices our studio uses on client agents.
Classes are live online, so developers in the Tricity and anywhere in India can join the same cohort. You should be comfortable writing code; Python basics help, but experienced developers from other languages pick it up quickly.
10 weeks · Live online · Developers
The syllabus.
Build AI that does real work: retrieval, tool use and evaluation — the parts demos skip.
- Weeks 1–2
LLM fundamentals
Prompting, tokens, APIs
- Weeks 3–5
Retrieval (RAG)
Embeddings, vector search
- Weeks 6–8
Tool-using agents
Function calls, memory, guardrails
- Weeks 9–10
Evaluate & deploy
Evals, cost, monitoring
You’ll ship: An agent that automates a real business workflow, with evals.
What you build
AI that does actual work.
Every build is measured, not just demoed.
Document Q&A with RAG
Chunking, embeddings and vector search over a real document set, with cited answers.
A tool-using agent
Function calls into calendars, databases or APIs, with clear limits on what it may do.
Human-in-the-loop approval
Risky actions routed to a person before they happen, with a log of every decision.
An eval suite
Test cases from real examples so you can tell whether a change made the agent better or worse.
A workflow agent capstone
An agent that automates a real business process, deployed with cost and quality monitoring.
How you learn
Engineering first, hype last.
Mentors who ship agents
Taught by engineers who build AI agents and RAG systems for our clients.
Live online classes
Interactive sessions you can join from anywhere in India, with recordings for review.
Code review on your agents
Feedback on prompts, tool design, error handling and evals, not just whether it runs.
Model-agnostic skills
Patterns that carry across LLM providers, so you are not tied to one API.
Cost and safety habits
Token budgets, guardrails and logging taught as part of every build.
Portfolio write-ups
Help documenting your capstone so hiring teams can see how you measured it.
Is this for you?
A good fit if…
- You already write code and want to build production AI features, not just use chat tools.
- You want to understand RAG, tool use and evals well enough to explain them in an interview.
- You are a developer in the Tricity or elsewhere in India who prefers live online classes.
- You want mentors to review your agent code and point out what would break in production.
FAQ
Common questions.
What is the fee for the AI agents course?
Fees depend on the track and format; contact us for the current fee and batch dates.
Is this AI course suitable for beginners?
It is designed for people who can already code. If you are new to programming, start with the full-stack web track and move to AI afterwards.
Is the generative AI course online or in Chandigarh?
It runs live online, so you can join from Chandigarh, Mohali, Panchkula or anywhere in India with a stable internet connection.
Do I need a paid LLM account?
Some exercises use commercial LLM APIs, which usually cost little at learning scale. We tell you what you need before the course starts and show options for keeping costs low.
Do you offer placement after the AI course?
We help with your portfolio, code reviews and interview preparation, but we don’t promise jobs. You leave with a measured, documented agent project you can walk through with employers.
Is this a machine learning or data science course?
No. It focuses on building applications with existing LLMs — retrieval, agents and evaluation — rather than training models from scratch.
Keep reading
Related pages.
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