Mid-career life crisis? Learn AI in very simple language from a Google Developer Expert in AI
Learn to lead/ implement AI initiatives confidently
Why learn from AI ML etc.
We don’t just teach; we design experiences that make you think.
| Courses from colleges (MIT, IITs, IIMs, Harvard, etc.) |   | |
|---|---|---|
| Curriculum design | Copy paste course | Specifically designed |
| Topics | Broad, static coverage | Most up-to-date |
| Hands-on Labs | No | 30+ |
| Management Topics | Generic | AI implementation specific |
| Project | Predefined Generic Capstone | Bring your own “problem statement” |
Peers Who’ve Learned With Us
340+ senior engineers, architects, and tech leaders from organisations like Microsoft, Nvidia, Meta, and Maersk
What Learners Say After the Program
Learner reflections, in their own words
Program Engagement Options and Fees
| Traditional AI/ ML | Agentic AI | ML + LLM + AI Agents | |
| Coding Prerequisite | No | Ability to read Python code | Ability to read Python code |
| No. of Sessions | 8 | 12 | 24 |
| Total Weeks | 4 | 6 | 12 |
| Hands-on Code Labs | 10+ | 15+ | 80+ |
| Fees** (per learner in USD) | USD 295 | USD 595 | USD 995 |
| Fees (per learner in INR) | INR 28,210 | INR 56,910 | INR 95,170 |
**Fees will be revised upward next month.
Pay-as-you-progress Fee Payment Structure
- First class – Complimentary
- 10% fee to start the program
- 30% fee after 3/ 4/ 6** sessions
- 60% (for short courses) fee after 6/ 8/12 sessions
Or you can opt for the monthly EMI option as well
Team and Peer Learning discount
- 2 to 3 learners – 30%
- 4 to 6 learners – 40%
- We don’t accept more than 6 learners in a batch
FAQs
Do I need a data science or statistics background?
No.
You do not need a formal background in data science or statistics.
This program is designed for experienced IT professionals who want to:
understand how AI systems actually work in production
make architectural, evaluation, and leadership decisions
lead AI initiatives without becoming data scientists
Core AI concepts are explained only to the extent needed to reason about real-world AI systems, trade-offs, and limitations.
If your goal is to build, evaluate, or lead AI systems, this program is designed for you.
How practical is the program? Are there hands-on labs and real projects?
Yes. This is a highly practical, hands-on program.
Each module includes:
guided hands-on labs
real-world applications aligned with production systems
The focus is on building and reasoning about real AI systems, not passive learning.
You can explore the labs and practical applications here - https://www.aimletc.com/online-instructor-led-ai-llm-coaching-for-it-technical-professionals/