Live cohort
Weekend Only
Starts 2nd January, 2027
Live Sat & Sun · 9:00 AM IST

Stop Watching Tutorials. Start Building Real AI Systems.

Learn AI/ML from a Senior AI Engineer with 10+ years Fortune 500 experience who builds production AI Agents. Not theory. Real systems used by millions.

Live weekend classes that fit your job. 20-week curriculum. Direct 1:1 access to the instructor. Built for working professionals who are tired of disconnected tutorials.

7-Day Money Back Guarantee
Starts 2nd January, 2027
Live Sat & Sun · 9:00 AM IST
Cohort capped at 30 seats
10% of profits support accessible AI education for everyone via AI Education For All Foundation
Debasish Maji - Lead Instructor
Debasish Maji
10+ Years

Senior AI Engineer - Building Production AI Agents

Currently @ Top-tier AI CoEx-AtlassianEx-PhonePe
100+ Students Trained10+ Years Exp550M+ Users Impacted
2nd January, 2027
Start Date
21
Weeks
12+
Projects
180+
Hrs

Is This Program Right For You?

This is NOT for everyone. Here's how to know if you're a fit.

This Is PERFECT For You If...
You're a working professional (2-15 years exp) wanting to transition to AI/ML
You have basic Python knowledge but zero ML experience
You're tired of tutorials that don't lead to real skills
You want to build production-ready AI systems, not toy projects
You need weekend-only classes that don't conflict with your job
You want direct mentorship from industry experts
You're ready to invest in your career transformation
This is NOT For You If...
You're looking for a certificate to hang on your wall
You want passive video watching without doing projects
You expect results without putting in weekend effort
You're not willing to invest in structured learning
You just want to 'explore' AI without career goals
You're looking for the cheapest option regardless of quality

Why most self-study attempts stall out

You've probably tried some of these already. Here's why they tend to fall short.

📺

YouTube Tutorials

30+ hours of fragmented videos that never connect to real job requirements

📚

Coursera / Udemy Courses

Outdated content, no live mentorship, generic projects that don't impress hiring managers

📄

Self-Study from Papers

Research papers don't teach production deployment. You can't learn MLOps from math equations

The ThriveWithAI Difference

Learn directly from Debasish Maji - Senior AI Engineer with 10+ years Fortune 500 experience building production AI Agents used by millions.

Live
Interactive Classes
1:1
Mentorship
Real
Industry Projects
Career
Support Included

Week-by-Week Learning Path

Detailed curriculum designed to take you from beginner to interview-ready in 20 weeks

Curriculum Structure: 7 Phases to Success

Phase 1: Foundations
Weeks 1-5
  • • AI/ML Landscape & Python
  • • Pandas & Visualization
  • • Statistics & Probability
  • • Linear Algebra & Calculus
Phase 2: Machine Learning
Weeks 6-9
  • • Regression & Features
  • • Classification Algorithms
  • • Tree Models & Ensembles
  • • Advanced Ensembles
Phase 3: Deep Learning & NLP
Weeks 10-12
  • • Neural Networks
  • • Computer Vision & CNNs
  • • NLP & Transformers
Phase 4: Gen AI & LLMs
Weeks 13-16
  • • LLM Fundamentals
  • • Prompt Engineering
  • • LangChain & RAG
  • • Fine-Tuning & PEFT
Phase 5: Agentic AI
Weeks 17-18
  • • AI Agents & Tool Use
  • • Multi-Agent Systems
Phase 6: Production
Week 19
  • • Production Deployment
  • • MLOps & CI/CD
Phase 7: Career Launch
Week 20
  • • Capstone Project
  • • Interview Practice
  • • Job-Search Support
BONUS
AI-Powered Engineering
Bonus Week
  • • Claude Code Mastery
  • • GitHub Copilot Pro Tips
  • • Cursor & AI IDEs
  • • 10x Productivity

Detailed Weekly Schedule

Explore each week in detail below to see the comprehensive learning path.

Select Week

Phase 1: Foundations
Phase 2: Machine Learning
Phase 3: Deep Learning & NLP
Phase 4: Gen AI & LLMs
Phase 5: Agentic AI
Phase 6: Production & Deployment
Phase 7: Career Launch
Bonus: AI Engineering
NEW
1
AI/ML Landscape & Python Mastery
Foundations • Setting the Foundation for Your AI Journey

Learning Outcomes

Understand AI, ML, Data Science & Gen AI landscape for 2026
Master Python syntax, data types, control structures
Learn NumPy for numerical computing and vector operations
Set up professional development environment (VS Code, Jupyter, Git)

Saturday Schedule

9:00-10:30
lecture

What is Data Science, AI, ML & Gen AI

Industry landscape, career paths, salary trends, 2026 job market

10:45-12:15
hands-on

Python Basics: Syntax, Variables, Type Casting, I/O

Built-in functions, control structures, quick recap

12:15-1:00
break

Lunch Break & Networking

1:00-2:30
hands-on

Introduction to NumPy

Array creation, indexing, vector operations

Sunday Schedule

9:00-10:30
lecture

NumPy Deep Dive

Advanced indexing, broadcasting, mathematical operations

10:45-12:15
hands-on

NumPy for Data Science

Statistical functions, random sampling, file I/O

12:15-1:00
break

Lunch Break

1:00-2:30
project

Project: Stock Portfolio Analyzer

Build reusable NumPy utilities for ML

Projects (2)

1. Stock Portfolio Analyzer CLI
2. Automated Data Pipeline

Interview Focus

Python fundamentals, NumPy operations, array manipulation

Homework & Practice

Complete 10 NumPy exercises, set up GitHub profile with first repo

Career Development

LinkedIn profile optimization, GitHub portfolio setup

From Students in Our Pilot Program

Real feedback from working professionals in our initial batches

Hands-on projects with real-world applications

Industry-experienced instructors

Lifetime access to course materials

Career guidance and resume support

The weekend format is perfect for working professionals. I'm finally understanding ML concepts that seemed impossible before - the hands-on projects make everything click.
SE

Software Engineer

5 yrs in web dev, new to ML

The instructor explains complex topics in simple terms. We build a real project almost every week, and my confidence in ML is growing tremendously.
DA

Data Analyst

Transitioning into ML

Exactly what I needed. The business context helps me understand how to actually apply ML in my current role, and the weekend classes fit my schedule.
PM

Product Manager

8 yrs in product

Live sessions beat any recorded course I've tried. I can ask a question and get it answered on the spot instead of getting stuck for days.
BD

Backend Developer

First ML program

The weekend format is perfect for working professionals. I'm finally understanding ML concepts that seemed impossible before - the hands-on projects make everything click.
SE

Software Engineer

5 yrs in web dev, new to ML

The instructor explains complex topics in simple terms. We build a real project almost every week, and my confidence in ML is growing tremendously.
DA

Data Analyst

Transitioning into ML

Exactly what I needed. The business context helps me understand how to actually apply ML in my current role, and the weekend classes fit my schedule.
PM

Product Manager

8 yrs in product

Live sessions beat any recorded course I've tried. I can ask a question and get it answered on the spot instead of getting stuck for days.
BD

Backend Developer

First ML program

The Agentic AI and LLM sessions are genuinely current - we're using tools I see teams adopting at work right now.
FE

Full-Stack Engineer

Adding AI skills

Small batch means real attention. Getting my code reviewed directly by the instructor changed how I approach problems.
QE

QA Engineer

Switching to AI/ML

I've bought courses before and never finished them. The live cadence and accountability finally kept me going week after week.
DE

Data Engineer

Upskilling to ML

Going from Python basics to building and deploying a model in a structured path made the whole journey feel achievable.
AL

Analytics Lead

Career transition

The Agentic AI and LLM sessions are genuinely current - we're using tools I see teams adopting at work right now.
FE

Full-Stack Engineer

Adding AI skills

Small batch means real attention. Getting my code reviewed directly by the instructor changed how I approach problems.
QE

QA Engineer

Switching to AI/ML

I've bought courses before and never finished them. The live cadence and accountability finally kept me going week after week.
DE

Data Engineer

Upskilling to ML

Going from Python basics to building and deploying a model in a structured path made the whole journey feel achievable.
AL

Analytics Lead

Career transition

Verbatim feedback from working professionals in our early cohorts. Names withheld for privacy.

Frequently Asked Questions

Everything you need to know before enrolling

Still have questions? Contact us

Debasish Maji

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Limited seats - next batch starts 2nd January, 2027

Your AI Career Transformation Starts Today

Join 100+ working professionals who've successfully transitioned to high-paying AI/ML roles.

Learn from a Senior AI Engineer with 10+ years Fortune 500 experience. Weekend classes. Real projects. Career support included.

7,999
Regular Price
4,999
Early Bird Price

Early Bird Price - Save 3,000

7-Day Money-Back Guarantee
Weekend Only Classes
21
Weeks Program
12+
Portfolio Projects
1:1
Direct Mentorship
30
Seats per cohort

🔒 Secure payment via Razorpay / Stripe • Instant access upon enrollment

Enroll Free

4,999 • Batch starts 2nd January, 2027