AI Agents Course
The next wave of AI doesn't just answer — it acts. Learn to build autonomous AI agents that reason, use tools and complete multi-step tasks with LLMs. The think-act-observe loop, tool use, memory and reliable agent design, built hands-on in Python, live with a mentor.
Quick answer
Modern Age Coders' AI Agents Course teaches you to build autonomous AI agents with LLMs in Python. You'll learn the think-act-observe loop, how to give an LLM tools and memory, and how to design agents that complete multi-step tasks reliably — the architecture behind modern agentic AI. It's hands-on with real agents. Classes are live in small batches of 5–8 with a mentor, group plans start at ₹1,499/month, and a free demo comes first.
Start Today
Book Your Free AI Agents Demo
Tell us your goal and we'll arrange a free, no-obligation demo with a mentor. No payment required to try.
Prefer to talk now? Reach us directly:
What You'll Learn
Build AI That Takes Action
From the agent loop to a working tool-using agent.
The Agent Loop
Think, act, observe, repeat — the core loop that lets an LLM pursue a goal over multiple steps instead of one reply.
Tools & Memory
Give agents tools (search, code, APIs) and memory so they can do real work and remember context.
Reliable Agents
Design, guard and debug agents so they finish tasks dependably — the hard part of agentic AI.
The Roadmap
The AI Agents Roadmap
Four stages from concept to a working agent.
Agent Basics
What agents are, the think-act-observe loop, and where they shine.
Tool Use
Give an LLM tools and let it decide when to call them.
Memory & Multi-Step
Add memory and chain steps to complete real tasks.
Build an Agent
Design, build and harden your own autonomous agent.
What's Next
Go Further
Tracks that power agentic AI.
Why This Course
Why AI Agents Are the Next Big Thing
The industry is moving from chatbots to agents that actually get things done — booking, researching, coding, automating workflows. Being able to design and build reliable agents is one of the most forward-looking, in-demand skills in AI today.
Reliability is the real challenge
Making an agent that works once is easy; making one that completes tasks dependably is genuine engineering. We focus on the design, guardrails and debugging that separate toy demos from agents you can trust.
Built on LLM and prompting skills
Agents sit on top of LLMs and prompt engineering; a little Python ties it together. Take them as a path or jump in here.
Simple Pricing
Course Fees
Transparent monthly plans, no hidden charges. Start with a free demo.
Group Batch
- 5–8 learners per batch
- Live agent building
- Recorded class access
- Completion certificate
Mini Batch
- Only 3–4 learners per batch
- More personal mentoring
- Recorded class access
- Project guidance & certificate
1-on-1 Personal
- Dedicated personal mentor
- Custom pace & schedule
- Recorded class access
- Priority project & career prep
Learner Voices
What Learners Say
"Built an agent that researches and summarises using tools. Seeing it plan and act on its own was incredible."
"The focus on reliability and debugging is what makes this course stand out. My agent actually finishes tasks."
"Cutting-edge and hands-on. I'm building things I couldn't have imagined a month ago."
Build AI that acts, not just answers
Book a free demo and build an autonomous agent with a mentor before you spend a rupee.
Book a Free DemoGood To Know
Frequently Asked Questions
It covers The Agent Loop, Tools & Memory, Reliable Agents. The next wave of AI doesn't just answer — it acts. Learn to build autonomous AI agents that reason, use tools and complete multi-step tasks with LLMs. The think-act-observe loop, tool use, memory and reliable agent design, built hands-on in Python, live with a mentor.
It's designed for college students, working professionals and serious teens who want practical, job-ready AI and machine-learning skills. After the free demo we place you at the right level for your background.
No heavy prerequisites — we start from the right point for you and build up. Some Python helps for the more advanced topics, and if you're new we cover what you need. The free demo lets us assess your level first.
Yes. Every topic is hands-on in Python/Colab and you build real, mentor-reviewed work — not just theory — so you finish with practical skill and something to show.
Group classes start at ₹1,499 per month for 2 classes a week. A Mini Batch of 3–4 students is ₹2,499 per month, and 1-on-1 mentoring is ₹4,999 per month. A free demo class is available first.
Yes. Classes are live in small batches of 5–8 with a mentor who reviews your work, and every session is recorded so you can revise anytime. It's real-time teaching, not pre-recorded videos.