Hey, AI Enthusiasts! Attend 90 Mins Live Webinar on 08-May-25 or 10-May-2025
@ 6:30 PM IST Learn all the details here:
Discover the Secrets to Kickstart Your AI-Agents Powered Career: Future Proof and Fast Track Your Professional Growth in 30 Days, without Getting Overwhelmed
Join Our Exclusive Webinar to Learn "Ultimate AI Engineering Course for the Agentic World" - the Proven Path To Your AI-Powered Career Growth.
Master Applied AI for Your Unlocking Growth and Opportunities Beyond Limits!
4 WEEKS · 12 LESSONS · 20+ HOURS LIVE · ONLINE · LIMITED SEATS ONLY
- 90 Mins live webinar
- By AI Practitioner and Coach
- 28+ Years of Experience
- ~17000 Plus Bonus
Present wave of AI disruption is rapidly being adopted by enterprises - 85% of CXOs have acknowledged investments in AI per surveys.
"AI" is an umbrella capability transforming enterprises, offering us a once-in-a-lifetime opportunity.
AI Agents are evolving rapidly as the "Killer Applications" of Enterprise, making this the ideal time to upskill and advance your career. Join our 3-week live online training to go beyond standard certifications and prepare for the growing opportunities in this field. Learn by Building 10+ AI Agents for several use cases, be it Procurement Agent or Sales Agent.
Read participant testimonials and program details below, and join over 1,000 professionals who have benefited from our programs.
That said a typical business requires domain-specific knowledge, the underlying data is proprietary and the business needs better ability to Govern such AI capabilities. From your experience serving 50+ clients, the top three asks by enterprises are:
- What Problems can I solve as a company? Which use cases will provide the needed ROI?
- How can we Scale beyond Proofs of concepts (POCs) or Minimum Viable Products (MVPs)?
- How can drive impact in a well-governed "Responsible" manner?
The solution is to not just learn the technical underlying of AI, but more importantly, master the overall aspects of "Applying AI to Real world Use Cases".
Modern day AI has reset the level playing field and the opportunity presented is not limited to those who know "Coding". Whether you are a CXO, Business Analyst, Product Owner, Solution Architect, Data Scientist, Data Engineer or someone else—you can and should get hands-on expertise in Building AI-Powered applications.
Our "AI Fundamentals" Course is designed to help you master the art and science of building AI-Powered Applications of direct value to Business. The course is comprehensive and of an applied nature where you will :
- Learn by building ~15 AI-Powered Applications using a variety of datasets.
- Master end-to-end lifecycle of "Building AI Applications" using No-Code approach.
- Build your Portfolio of AI capabilities that you can showcase.
- Get a headstart on AI-Based Career.
- Be part of a Vibrant Community for your Ongoing Learning as this train is moving fast and gathering a lot of momentum at every step!
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
Course Highlights
Foundationals
Comprehensive introduction to AI, spanning the breath with a focus on capabilities for business
Methodology
Deep-dive AI application development model and learning, including No-code tools.
Predictive Insights
Build Predictive applications - statistical and data science algorithmic approach.
Deep Learning
Learn about the core unit of AI based on Biological Inspiration of Human Neurons
Transformers
Transition from Deep Learning to Generative AI - Attention Mechanism, Transformers.
Generative AI
Fundamentals - Including Prompting and Custom LLM for Enterprise
RAG, Fine Tuning
Build RAG (Retrival Augmented Generation) based Applications.
Fine Tuning.
AI Agents
Agent Design Patterns, Use.
Building Simple Agents, Master Frameworks: Langchain, Autogen
Advanced Agents
Build Advanced Agents
Additional Frameworks like CrewAI. Key Considerations.
30 Day Live Sessions or Bootcamp
- Mode: Live Sessions will be delivered via Zoom.
- Duration of a session will be 75 mins or one hour and 15 minutes
- Additionally, students will be expected to learn from recorded videos before the next class, typically these videos will be 45 mins.
- Live Sessions will mainly cover Hands-on and doubt-clearing sessions.
- Recorded Sessions will typically cover concepts and examples
- Live Sessions will also be recorded and made available
Community and Ongoing Learning
- Students will get two year membership when they enroll for this course.
- Students can continue to learn beyond the 21-day Live bootcamp.
- Students are free to join any future batch of the 21-day Live sessions provided they have an active membership.
- Community is an important part of learning. So members will help learn from each other as well learn from Industry expertse time to time.
Course Curriculum Details
WEEK
TOPICS
DETAILS
HANDS-ON (DO, CREATE)
Section A: AI Applications and world of Prompt
W01 D01
Week 01 , Day 01, 02
AI Capabilites
and Business Impact
- AI and Generative AI : Defined and Aligned.
- Capabilities, Taxonomy.
- Business problems solved by Generative AI - few examples, shortcoming.
- LLM Evolution - Transformers Architecture.
- Python Based "Model access to Local LLMs e.g. LLamaCPP, HuggingFace, vLLM, Ollama"
- Cloud Based Access to GenAI / Playground (e.g. Azure Open AI access, demo)Prompt templates, Parameters
W01 D02
Architecture,LLM Ecosystem
- Architecture of LLM based applications
- Accessing Gen AI Models using cloud providers/ Vendors (like Azure, OpenAI , Groq).
- Custom LLMs : Options to access open LLMs on premise. Key considerations, Cost.
- AI Maturity model
- Generative AI workflow to developing & scaling enterprise LLM applications
- First App - Python Based "Model access to Local LLMs e.g. LLamaCPP, HuggingFace, vLLM, Ollama"
- Cloud Based Access to GenAI / Playground (e.g. Azure Open AI access, demo)Prompt templates, Parameters
W01 D03, D04
Prompt Engineering
- Prototyping LLM Applications using APIs and Roles
- Best practices for structuring prompts
- Important prompt templates (Zero-shot, Few-shot, CoT- Chain-of-thought, Tree-of-thought, self-consistency)
- LLM as a judge : Designing prompts to evaluate LLM outputs
- Prompting Templates, Examples
- LLM : LLama model or Azure Open AI Python API
Week 04
Designing LLM applications for text-to-text generation tasks
- Business use cases - Text generation
- A workflow for text-text generation using LLMs
- Evaluating evaluate text-to-text tasks (e.g. using BERTScore, LLMs as raters, Rouge)
- Implement Use Case 1 : Use Case for summarizing Dialog using LLMs
Week 05
Designing LLM applications for classification tasks
- Business use cases - Classification systems.
- Workflow for text classification using LLMs
- Implementing a Pipeline for sentiment scoring / classification
- Evaluation of classification tasks (accuracy, precision, recall etc.)
- Implement and Evaluate an sentiment analysis (ABSA) pipeline
- Implement Use Case 2 : Product review classification using LLMs
- Implement Use Case 3 : Restaurant reviews / comments classification using LLMs.
Student Activity 1 : Team, Breakouts, Presentation, Guest Speaker (SME)
Section B : RAG for Enterprise AI
Week 06
Designing LLM Applications for Retrieval Augmented Generation (RAG) - 1
- LLM Limitations, need for RAG - A workflow for RAG using LLMs
- RAG Uses cases for enterprise needs.
- Understanding embeddings as well as embedding models.
- Vector databases: Deep-dive, need and ecosystem (Postgres Vector, Pinecone, ChromaDB) - Dense Vector Retrieval and In-context learning.
- Vector databases (CRUD Ops) : Build and manage.
- Implement Use Case 4: Build your First RAG Application : “Chat with Enterprise Data”.
Week 07
Advanced Retrieval-Augmented Generation (RAG) - 2
- PDF Parsing (PyMuPDF) for End to End RAG Deployment
- Designing a vector database for document QA, Reranking and structured retrieval.
- Evaluating RAG outputs (grounded ness and relevance)
- Production-Grade RAG with LangChain - LCEL.
- Monitoring, Observability with LangSmith.
- Implement Use Case 5 : Financial Analysis using LangChain, Vector DB
- Implement Use Case 6: Implement document-based Q&A using Langchain and a Vector DB
Section C : AI Agents : Building Autononous Systems
Week 08
Agents: AI assisted development with LangChain and LlamaIndex
- Introduction to Agents and Agentic Reasoning.
- Frameworks : ReAct, LangChain, LangGraph
- Enhancing Search & Retrieval with function calling-Reflection, Tool use.
- Custom Agents, Custom ReAct Search Agent
- Context Augmentation and LlmaIndex
- Implement Use Case 6 : First Agent Application with CrewAI / LC - AI Research Assistant Agent
- Implement Use Case 7 : AI-Assisted Content Creation App or a Document Intelligence Agent.
Student Activity 2 : Team, Breakouts, Presentation, Guest Speaker (SME)
Week 09
Multi-Agents and Advanced Topics
- Multi-Agent Architectures, Collaboration and Agent Supervision.Multi-Agent Frameworks : Autogen, CrewAI.
- Routers, Even-driven (LlamaIndex vs. Graph Traversal).
- RAGAS and Evaluating RAG outputs (groundedness and relevance)
- Synthetic Data Generation - fine-tuning, domain adaption or RAG. Including WizardLM
- Advanced RAG (BM25, Reranking, Ensemble), Agentic RAG Application
- Implement Use Case 9: Build a Multi-Agent RAG Application with LangGraph.
Section D : Fine Tuning and Governing AI Apps
Week 10
Transformer Architectures & Parameter Efficient Fine Tuning (PEFT)
- LLM Architecture of (e.g. Mistral 7b) Overview
- Why fine-tune? When is fine-tuning helpful?
- Task Training, Constraining I-O, Schema Language Modeling - Low Rank Adaptation (LoRA), Quantization and QLoRA.
- Key LoRA parameters
- Evaluating fine-tuned LLMs (Perplexity, BERTScore)
- Fine-tuning APIs, cost structures and data requirements
- Implement Use Case 8 : Implement LoRA to fine tune an LLM - (like Mistral 7b) and / or HuggingFace Library
Week 11
RLHF, Feedback and Reasoning
- Reasoning Models: Agentic Reasoning (AG2, Autogen)Examples Large Model to Small
- Overview of RLHF and its application in LLM training
- Disadvantages of RLHF, overview of alternatives
- Enterprise best practices on content filtering, and risk mitigation
- Industry Use Cases - build-ship-share-gpt
- Use Cases : Build-Ship-Share-GPT, Azure AI
- Implement Use Case 10: Reasoning Model Example and / or RLHF / input or feedback example.
Week 12
Governance and Responsible AI
- Responsible AI Framework and Case Studies
- AI Governance : Key Pillars
- Governing AI Agents.
- Implementation Considerations
- AIOps
- Dashboards
Graduation Day: Re-cap, Presentations, and Graduation!
Who is this Webinar for?
Solution Architects, IT Leaders who are keen on upskilling to AI or interested in switching careers or building networks.
Data Scientist or Data Architect or experienced Data Professions looking to upskill to AI Professional.
CXOs, Business Leaders keen on maximizing their influence and reach while not been afraid of hands-on.
Junior IT Professionals interested in switching to AI based Career but keen on learning from industry experts and preparing for the future.
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.
Frequently Asked Questions
Simply fill out the form on our website, and a member of our team will reach out to give you further information about the webinar.
Gain expert insights and practical strategies to master digital ecosystem implementation. Engage in interactive discussions and access exclusive resources to elevate your digital strategy.
Webinar will be for 90 minutes or 1 Hour and Thirty Minutes
During the webinar, you'll receive expert insights, actionable strategies, and real-world examples to empower your digital journey. Engage in interactive discussions, ask questions, and access exclusive resources to transform your digital strategy.
A: For People Who Open all my Emails and Whatsapps, and Attend the Webinar - Can Qualify for a 40% Discount on our Foundational Program.
A: Recordings Can be Made on Request but will be used for Internal Training Purposes.
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