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4-Weekends Live Cohort · Enterprise AI

Prepare to be a
Claude Certified Architect (CCA)
in four weekends:
Agentic AI for Enterprise

Claude Edition · CCA Certification-aligned curriculum. Production-focused training.

Go from GenAI fundamentals to production-grade agentic systems — with hands-on builds, live sessions, and real enterprise patterns.

4Weeks
24Live Sessions
83Lessons
6Build Assignments
View Full Syllabus
SAT, SUN (Fri / Mond if holiday)· AI Session AM or Afternoon India IST - Will be covenient for Europe as well (GMT+5:30)
Weedays No classes

Welcome to AIChampionsHub where we help you kickstart your AI Learning Journey !

Curated Learning Path factoring the latest AI Building Blocks and Innovations that are Foundational (not news, not buzz) - that are shifting the Industry rapidly!

Master AI with us from First Principles is key - focus, discipline and structured approach - for 8 weeks and beyond (in Community) !

Agentic AI Mastery using Claude — 4-Weekend Intensive
Saturdays & Sundays · 4 Hours Per Day · 32 Hours Total
4 Weekends
8 Topics
32 Hours
8:00 PM IST
W1
Weekend
May 3–4
Saturday
4 hrs
TOPIC 01
LLM Foundations & Claude AI
Session 1 (2h) — How LLMs work, tokens, context windows, model families
Session 2 (2h) — Claude API, prompting patterns, build your first app
Sunday
4 hrs
TOPIC 02
Retrieval-Augmented Generation (RAG)
Session 1 (2h) — Embeddings, vector stores, chunking strategies
Session 2 (2h) — Build a document Q&A system end-to-end
W2
Weekend
May 10–11
Saturday
4 hrs
TOPIC 03
AI Agents & Fine-Tuning
Session 1 (2h) — Agent architecture, tool use, ReAct loop pattern
Session 2 (2h) — Fine-tuning concepts, LoRA, dataset preparation
Sunday
4 hrs
TOPIC 04
Agents: Memory & MCP
Session 1 (2h) — Short/long-term memory, context & state management
Session 2 (2h) — Model Context Protocol (MCP), tool servers
W3
Weekend
May 17–18
Saturday
4 hrs
TOPIC 05
Multi-Agent Systems & Tools
Session 1 (2h) — Orchestrator/subagent patterns, handoffs, parallelism
Session 2 (2h) — Build a multi-agent pipeline with tool calling
Sunday
4 hrs
TOPIC 06
Evaluating AI Applications
Session 1 (2h) — Eval frameworks, LLM-as-judge, hallucination detection
Session 2 (2h) — Build an automated eval suite for your RAG app
W4
Weekend
May 24–25
Saturday
4 hrs
TOPIC 07
Productionise AI Apps
Session 1 (2h) — Deployment, observability, cost optimisation
Session 2 (2h) — CI/CD for AI, guardrails, rate limiting, security
Sunday · Finale
4 hrs
TOPIC 08
Capstone Project
Session 1 (2h) — Demo your AI app live to the cohort
Session 2 (2h) — Peer review, mentor feedback & next steps

* Dates are illustrative — adjust to your cohort start date. All sessions at 8:00 PM IST (GMT+5:30).

Instructions Regarding Course Payment

  • This course is Advanced Hands-on Course and has certain Prerequisities (Outlined below).

  • If you meet the pre-requisities and are sure, then click below to enroll.

  • Else me or my team would like to talk to you once to make sure this course is right for you.

  • Just drop us an Email (help@aichampionshub.com) with Contact details and a convenient time. Someone from the team will get back to you.

  • Alternatively you can message us at +091-9840768200 (India number) and we will connect with you.

  • Use this link only if you are paying in INR (Indian Rupee).

  • For International Payments (in other currency), please do send a message and I will share QR Code to my Razorpay account or to Paypal Account. This is avoid issues related to International Payments as well.

Regular Fee

Our Regular Course fee is Euro 1500 or USD 1750 or INR 1,65,000/-

For this Cohort we are offering an Early Bird Discount and the Discounted Price is :

Early Bird Discounted Prices

Course Fee is USD 1200/- (Thousand Two Hundred Dollars) or EUR 997 (Nine Hundred Ninety Seven Europ) or INR 110,000/- (One Lakh Ten Thousand) plus any applicable Taxes.

There is no Gimmick, No Marketing Trick - Urgency tactices, Comparison pricing etc...Non of that.


"AI" is an umbrella capability transforming enterprises, offering us a once-in-a-lifetime opportunity. Present wave of AI disruption is rapidly being adopted by enterprises - 85% of CXOs have acknowledged investments in AI per surveys.

Course Approach and Learning Path !

Weeks 1-2: Foundations & Mindset

Master the fundamentals of LLMs and generative AI — not just the technology, but the iterative, design-first approach required to build reliable systems. Set up your development environment and build your first AI application.

Weeks 3-4: Enterprise Integration & Knowledge Systems

Learn to connect AI to your existing enterprise systems — CRMs, ERPs, knowledge bases — through RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). Build applications that leverage your organization's data and workflows.

Weeks 5-6: AI Agents, Agentic Design and Multi-Agents

Go deep on AI agents — the killer application for enterprise. Build 5+ agent-based systems across different use cases, mastering the design patterns that separate reliable agents from brittle prototypes.

Weeks 7-8: Production-Ready AI

Make your systems enterprise-grade. Design evaluation frameworks, implement monitoring and observability, and apply production best practices. Wrap up with a team capstone project where you apply everything you've learned to a real enterprise use case — then present, graduate, and celebrate.

Graduation, Celebrations and moment of Pride helps continue the journey as a Proud AIChampion !

This isn't theory. It's hands-on, build-it-yourself mastery and Fast paced — designed for technical leaders who learn by doing and who value Time. As the Chinese say "The best time to plant a tree was 20 years ago. The second best time is now."

Alignment with Claude Certified Architect (CCA)- Foundation

In March 2026 Anthropic launched the Claude Certified Architect (CCA) — Foundations. From an enterprise perspective, the AI market had two sets of people - Professionals who use AI and Professionals who Build with it. CCA is geared towards Builders.

Now at AIChampionsHub, we have been conducting AI for Solution Architects and Builders before that CCA announcement. But in this Claude Edition of the Course, we are overlaying the topics so that Students can choose to use this knowledge if they indeed decide to go for the Certification. Note: CCA is a for AI Architects / Builder with experience and is rigorous exam. There is also lot of material in public Domain and one could pass use them.

The objective our course is not Exam or Certification - but learning by Designing and Building!

Example: Build Agents with Claude SDK while also build Agents using LangChain/LangGraph.

So what will be Covered in the Course ?

Hey, AI Enthusiasts!

You Know the Problem to Solve from Years of Rich Experience.
AI Should Be the Solution — Not Another Headache.

You've seen the headlines. You've sat through the demos. You've watched AI "experts" promise the moon.

But here's what they don't tell you:

85% of AI projects never make it to production. Not because the technology isn't ready — but because teams are building AI like it's traditional software. They're chasing shiny tools instead of solving real problems. They're automating workflows they don't understand. Keep offering Agent as solution for everything.

Sound familiar?

Your team ships an AI application that works beautifully in the demo... then crashes spectacularly with real customers
You're drowning in vendor pitches, certifications, and "game-changing" model announcements — but still can't get reliable AI into production
Leadership expects ROI yesterday, but every AI initiative feels like a science experiment with no clear path forward

Here's the truth no one's saying out loud:

The difference between AI projects that ship and AI projects that fail isn't the model. It's not the framework. It's not even the data.

It's design. It's reliability. It's understanding that AI systems are fundamentally different from the software you've been building for decades.

AI is non-deterministic. Traditional software is predictable. You can't design them the same way.
AI needs agency. Enterprises need control. You can't ignore this tradeoff.
AI improves iteratively. Waterfall planning doesn't work. You can't "design once and deploy."
If you want to iteratively improve, then you need to put in an evaluation foundation from the get-go.
Design sets the reliability ceiling; Evaluation proves you've reached it — and in enterprise AI, reliability is the only thing that matters.

This course exists because we've been where you are.

We've built a number of production learning systems (including ML, Deep Learning and now Generative AI) across industries. We've learned the hard way that:

Reliability beats capability every time.
Deep workflow knowledge beats tech hype.
Humans must drive AI — not the other way around.

This isn't another course and certainly not for certification.

This is a battlefield-tested approach for building AI-powered solutions that actually works. Oh btw, you should be able to confidently take up certification if you choose to — as that's a by-product in my opinion.

You'll master agentic design patterns. You'll build evaluation frameworks that catch failures before production. You'll learn to think iteratively — design, evaluate, refine, repeat — until your AI system has elements ready for production.

Because the expertise is already yours.

You know your domain & workflows. You know your users. You know the edge cases. AI is the multiplier. You're the one who decides what to multiply.

By end of the course, if you complete with required rigor and discipline — You will be "THE BUILDER"!!

Ready to build AI systems that ship — and stay shipped?

👇 Let's go.

Course Highlights

Live

Join 24 interactive sessions with expert instructors. Ask questions in real-time, collaborate with peers, and get immediate feedback on your builds.

Hands-On

Build 10+ AI agents and applications from scratch. No passive learning—every concept is reinforced through real-world implementation and production-grade code.

Production-Ready

Learn evaluation frameworks, monitoring strategies, and deployment best practices. Ship AI systems that are reliable, observable, and enterprise-grade from day one.

Iterative

Master the design-evaluate-refine cycle. Build systems incrementally, test rigorously, and improve continuously—the only approach that works for non-deterministic AI.

Enterprise-Focused

Integrate AI with existing systems—CRMs, ERPs, knowledge bases. Learn RAG, MCP, and agentic patterns that solve real business problems at scale.

Certification-Aligned

Curriculum covers Claude Certified Architect exam topics. Gain practical mastery of concepts you'll need for certification—while building production systems.

Community

Join a cohort of technical leaders solving similar challenges. Network, share learnings, collaborate on capstone projects, and build relationships that last beyond graduation.

Expert-Led

Learn from practitioners who've built 50+ production AI systems across industries. Get insider strategies, battle-tested patterns, and honest guidance—no hype.

Capstone

Apply everything to a real enterprise use case of your choice. Present to peers, get feedback, showcase your work, and graduate with portfolio-ready projects.

Who Is This Course For?

This course is designed for technical leaders and practitioners who need to build AI systems that actually ship:

Solution Architects & Tech Leads

You design enterprise systems and need to understand how AI agents fit into production architectures

Engineering Managers & CTOs

You're responsible for AI strategy and need hands-on knowledge to evaluate, guide, and de-risk AI initiatives

Senior Software Engineers

You build systems at scale and want to add enterprise AI capabilities to your skillset

Product Managers (Technical)

You own AI product roadmaps and need to understand what's feasible, what's hype, and how to ship reliably

AI/ML Engineers

You know models but want to master agentic patterns, production deployment, and enterprise integration

Business Leaders (Technical Background)

You're driving AI transformation and need practical knowledge to separate signal from noise

Meet the Expert !

👋 Hey there! I'm Balaji Thiruvenkatachari, your guide at the intersection of Business and Technology, simplifying the complex and applying AI for Business Transformation.

💼 As an AI practitioner and Certified Management Consultant, I bring over 27 years of experience working with Fortune 50 clients globally, delivering 15+ complex transformation programs.

🌍 I've established and scaled AI Centers of Excellence and Data Engineering Practices for a leading Systems Integrator, and proudly spearheaded a flagship AI Academy, transforming over 400 associates.

👨‍👩‍👧‍👦 Alongside my professional journey, I'm a dedicated father and husband, passionate about both learning and teaching. Let's embark on this journey together!

Balaji S. Thiruvenkatachari (Mr. T !)

Influenced Careers of working Professionals

400+

Satisfaction Rating

High

Recording from Previous Webinar

  • 90 Mins live webinar

  • By AI Practitioner and Coach

  • 28+ Years of Experience

  • ~17000 Plus Bonus

Who is this Course for ?

This course is designed for technical leaders and practitioners who need to build AI systems that actually ship:

Solution Architects & Tech Leads — You design enterprise systems and need to understand how AI agents fit into production architectures

Engineering Managers & CTOs — You're responsible for AI strategy and need hands-on knowledge to evaluate, guide, and de-risk AI initiatives

Senior Software Engineers — You build systems at scale and want to add enterprise AI capabilities to your skillset

Product Managers (Technical) — You own AI product roadmaps and need to understand what's feasible, what's hype, and how to ship reliably

AI/ML Engineers — You know models but want to master agentic patterns, production deployment, and enterprise integration

Business Leaders (Technical Background) — You're driving AI transformation and need practical knowledge to separate signal from noise

What are the Course Pre-requisities ?

You'll get the most value if you:

  • Have Programming experience (Python preferred)

    • Note : While for Purely Design and Architecture topics Programming is not needed but good experience in IT Applications and Systems Design as well as experience from trenches will be needed.

  • Understand APIs and system integration concepts

  • Want to build, not just watch demos

  • Need production-ready AI skills, not just certifications


Participants can't stop talking about the Course!

Deepak Viswanathan

Cloud Engineering Leader, Capital One, VA, USA

"Balaji is a fantastic instructor who has an in-depth knowledge of Artificial intelligence and it's various applications in the field of business. He is very approachable, friendly and has a passion for teaching which is obvious for anyone taking his courses. I fully recommend his online courses on Artificial intelligence."

Ramkumar Soundarapandian

Senior Manager, Digital, 

Capgemini Americas, USA

"Hi Balaji, I wanted to extend my heartfelt thanks for your effort and support during the Gen AI for Business leadership training. It has been incredibly valuable for my career growth. Following this training, I feel much more confident in handling customer expectations and fulfilling AI-related requirements. Furthermore, I've actively applied the AI learning knowledge and have successfully contributed to the RFP process, ultimately closing a major deal. I am immensely proud to be a part of the AI Champions Hub family. Thank you once again for your guidance and support. "

Vanaja Udayakumar

Data Analyst,

Creamcollar, Bangalore, IN

"You become relevant and be aware of the recent technological advancements around AI in all industry. The syllabus covers the foundational knowledge on basic architectural aspects of Neural Networks. DL, NN, CNN, RAG, Attention, Transformers are no more jargons for me. Elements Responsive AI Frameworks. You are learning along with Business leaders which give add on benefits by gaining different industry, use case perspective and learnings. "

Naveen Arora

Business Leader,

ADP, Hyderabad, IN

"The course content is very apt from industry perspective. Balaji has curated the course nicely and explained each topic very well. As a leader, this course has given me enough confidence to speak about different topics in AI world. I believe i will be able to use these concepts quite well in my AI journey and use it in a Responsible way. Thank you Balaji for taking this course for us and giving your valuable time."

Few tools that you will use and master !

If you have ever thought about these topics❓🤔

🤔 How can AI speed up my career-growth?

🤔 What opportunities does AI offer for professional growth ?

🤔 Is there a clear path to mastering AI without Overwhelm and in short time

🤔 Can I connect with experts to guide my AI journey?

🤔 What are the key skills needed to excel in an AI-powered world?

🤔 How AI could be perfect and timely solution for my Stagnant career ?

🤔 What resources are available to help me navigate AI career pathways effective

🤔 What will it take to create AI-based solutions for real-world problems in front of me?

🤔 How can I leverage AI to stay ahead in my industry?

🤔 How can I keep up with all the AI happenings for my ongoing learning?

🤔 What resources are available to help me navigate AI career pathways effectively?

Get Bonuses Worth $750

Mastering Python for Data and AI

$250

Python is the coding language of choice for AI now. But Python is rich and vast. Learning the ropes of the language, in a hands-on manner, will be a key step towards career for Professionals on the Technical Growth path, be it Solution Architect, Data Engineer, Data Scientist, and more.

Data Science Mini Course

$500

It is important to get a good feel for end-to-end work in Data Science. In this Mini Course, I take an Industry problem and walk you step by step, from start to finish. This Mini Course will expire within a week.

Access to Community - Priceless !

In simple terms, Prompting is asking "Questions" of an AI models to get Answers or generate new content. That said, Prompting requires mastery - learning hands-on from a variety of domain examples.

One to One Consultation call

You will get a One-to-One Consultation call for 30 mins to speak to our AI Experts who can help from a Career Growth perspective in the context of Mastering AI.

Still Not Sure if This Workshop is For You?

You CANNOT afford to miss this if your in a role related to IT Services and Solutions

AI disruption is unlike other disruptions in the past. Current disruption impacts all areas of enterprise - strategy, functional, technical and more. So there is oppurtunity for all experiences.

Second, current disruption has levelled the playing field. No one has 10+ years of experience in Generative AI. So if you put in the right effort now, then you can be far ahead of the rest of your peers. Learn, Apply and Capitalize fast as the role you are in may not be there tomorrow - atleast not in the same format.

The changes are too RAPID for me to keep up !

Yes the changes are rapid but there is breath of foundational capabilities which can be of huge value to business - so one need not keep chasing the new shiny ! We will focus on few matured and established capabilities where Industry in investing actively NOW !

Myth : LLMs are for Big Players and not for others !

Generative AI is NO more prohibitively expensive.

Inference costs are down by ~100x from 2023 to 2024

Cost continues to come down.

Gen AI Fundamentals will require me to be a

Coding Czar !

Currently LLMs can be used for building AI applications with few lines of code. Also multiple Frameworks, Libraries and Tools abstract all the complexity. Third, No-code tools like KNIME are well updated for Gen AI.

Myth: I don't have time to learn AI!

Yes 24 hours is less for most people ! Yet many accomplish far more in the same 24 hours !! From my experience, it is about what we Priority, Focus and Consistency. Gen AI will impact careers in near-term for sure and we are providing a easy path after invest countless hours so that you just need to invest 2 Hours a day to get on journey to "AI Mastery" !

It is all too Overwhelming!

AI is a complex topic indeed and many courses focus on Technical Mambo-Jumbo. The Industry need is to "Apply AI for solving Real-world business problems" and not the technicalities of LLM. Our Learning Framework (DARE) aims to simple and easy mastery for you.

Applied AI Mastery for Abundance !