GenerativeAI Live Bootcamp??

I have multiple learning paths to offer you →

1. Standard → Read only Learning Content.
2. Advanced → Reading + Recorded Self-Paced.
3. Premium PRO [Most Selected] → Live Sessions.

NOTE → Text Content, Recordings, and Resources will be available after completion of each Day of the Live Session.

5 Weeks of GenerativeAI, LLM, RAG, and LangChain technical Live Bootcamp.

In-depth 60 hours of content, including use cases, case studies, and the GenerativeAI app deployment implementation.

5 sectors → Energy, Healthcare, Finance, EdTech, Supply chain, and Law Enforcement.

Benefits for You →

• Live sessions → Meet with other Leaders & Data Professionals in the Interactive Sessions.
• Community → Discuss your ideas on what is happening in the AI industry and how we can leverage it daily with your peers.
• Life-Long Connection → Stay connected with the closed community for a lifetime and future opportunities.
• Consultation & Support → Working as a Leader on AI or Data Science Products in your Company, you can consult for FREE.

Prerequisites →

As this Live bootcamp is beginner-friendly:

• Basic Python [If you are a beginner] → https://youtu.be/6tVIHJlfWDc?si=7FAb5ypTd1j8v4SN
• Willingness to Learn
• Collaborative approach

Curricula →

Module 0 - Overview

0.0 → Introduction to AI and its Evolution

0.1 → Machine Learning vs Deep Learning

0.2 → Tokens VS Parameters in Models

0.3 → What can AI realistically achieve today?

0.4 → 25 Papers That Completely Transformed the Computer World

Module 1 - Foundations of Artificial Intelligence

1.1 → Neuron & Perceptron

1.2 → Multi-Layer Perceptron

1.3 → Artificial Neural Network (ANN)

Module 2 - Deep Learning & Neural Network Architectures

2.1 → Convolutional Neural Networks (CNNs)

2.2 → Recurrent Neural Networks (RNNs)

2.3 → Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU)

2.4 → Encoder-Decoder Architectures and Attention Models

2.5 → Transfer Learning

Module 3 - Natural Language Processing

3.1 → NLP Introduction

3.2 → NLP Text Pre-processing Pipeline

3.3 → POS Tagging & Named Entity Recognition

3.4 → NLP Statistical Methods - Bag Of Words and TF-IDF

3.5 → Text Normalization and Tokenization

3.6 → Embedding and Word2Vec

Module 4 - Language Model Architectures

4.1 → Variational Auto-Encoders (VAEs)

4.2 → Generative Adversarial Networks (GANs)

4.3 → Transformers & Language Models

4.4 → Hugging Face Models

Module 5 - Large Language Model

5.1 → Large Language Models (LLMs)

5.2 → How ChatGPT works?

5.3 → Large Language Models

5.4 → State-of-the-art LLMs

5.5 → How difficult it is to build LLMs?

Module 6 - RAG and LangChain

6.1 → What is Retrieval-Augmented Generation?

6.2 → How does RAG differ from traditional generative models?

6.3 → Steps and Tools to Build RAG System

6.4 → What is LangChain?

6.5 → Architecture of LangChain

6.6 → How to develop applications using LangChain?

6.7 → [Use Cases] - One

6.8 → [Use Cases] - Two

6.9 → [Use Cases] - Three

6.10 → [Use Cases] - Four

Module 7 - LLMs on Cloud - AWS, GCP, Azure

7.1 → What to know about Cloud for LLMs?

7.2 → AWS for LLMs

7.3 → GCP for LLMs

7.4 → Azure for LLMs

Module 8 - Infrastructure, Implementation & Tools

8.1 → Building vs Buying AI

8.2 → How to Build Your Private Language Model?

8.3 → AI Project Management

8.4 → [Case Study] - AI Implementation

Module 9 - Business, Strategies & Stories

9.1 → AI Strategy and Leadership

9.2 → AI Ethics and Societal Implications

9.3 → Framework for AI Product Development

9.4 → [Case Study] - Google

9.5 → [Case Study] - Amazon

9.6 → [Case Study] - OpenAI

9.7 → [Case Study] - Netflix

9.8 → [Case Study] - AI Graveyard Companies → Failed

Module 10 - Future Directions

10.1 → The AI Hype vs Reality

10.2 → Trends in AI

10.3 → AI Certifications or No Certifications

10.4 → 1000+ AI Product Ideas across 21 Industries

10.5 → Final Word

Module 11 - Profile/Personal Brand

11.1 → Resume Building

11.2 → Projects and Portfolio

11.3 → Career Transition to AI

11.4 → How to get a Job in AI or how to get promoted?

11.5 → How to start your freelance work?

11.6 → Data Engineer VS AI Product Manager, Which profile to choose?

Bonus →

Interaction Event and Community Building

[Checklist] 9 Steps to AI Fundamentals Success

[Download any Book]

Schedule of Live Sessions →

Pricing →

1. Standard → Read only Learning Content.
2. Advanced → Reading + Recorded Self-Paced.
3. Premium PRO [Most Selected] → Live Sessions.

Frequently Asked Questions

When is the Live Bootcamp starting?

5th August, 8:30 PM IST

Any different time for the Live session?

I have another time slot of 8:30 AM IST also but I will start the new bootcamp registration after 15th August.

What to do after I enroll?

You will get a closed group link, that you should join.

How long each Live session will be?

Each session will be of 2 Hours, 4 days a week

I am in a Leadership position in the company, can I join?

Yes you can, this bootcamp is designed for leaders and professionals.

How much time it will take for us to complete the course?

We need 5 weeks to complete all the topics.

Is this hands-on or not?

Yes

I am new to this field, is this a good course for me?

Yes, It is a beginner-friendly course. We start from the basics and level up as we move forward.

I do not have programming experience, can I join?

Yes, you can.

Can I access demo sessions?

Yes you can, here is the link → https://god-level-python.notion.site/Generative-AI-Zero-to-Hero-for-Leaders-Managers-e8f3120efd2743a0a9493100b4093180?pvs=4

PS: DM me, if you have any questions.