Gen AI: Large Language Model (LLM) Training

Live Online & Classroom Enterprise Training

A Generative AI Large Language Model (LLM) is an advanced AI system trained on vast text data to generate human-like text, answer questions, and assist with various language tasks. It uses deep learning, particularly transformer architectures, to understand and generate contextually relevant responses.

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What is Gen AI: Large Language Model (LLM) Course about?

This course provides an in-depth understanding of Generative AI and Large Language Models (LLMs) such as GPT, Gemini, Llama, Claude, and Mistral. Participants will learn about LLM architecture, model training, fine-tuning, prompt engineering, and real-world applications in areas like chatbots, content generation, and AI-driven automation.

What are the objectives of Gen AI: Large Language Model (LLM) Course ?

Understand the fundamentals of Generative AI and LLMs
Learn how LLMs are trained, fine-tuned, and deployed
Master prompt engineering and prompt optimization techniques
Build custom AI applications using OpenAI API, Hugging Face, and LangChain
Explore enterprise applications of LLMs in different industries
Understand the ethical, legal, and security considerations of LLM usage

Who is Gen AI: Large Language Model (LLM) Course for?

AI/ML Engineers & Data Scientists
Software Developers & Architects
Product Managers & AI Enthusiasts
Business Leaders & Innovation Teams

What are the prerequisites for Gen AI: Large Language Model (LLM) Course?

Basic understanding of AI/ML concepts
Familiarity with Python and deep learning frameworks (TensorFlow/PyTorch)
Some experience with cloud platforms (AWS, GCP, Azure) is beneficial

Available Training Modes

Live Online Training

5 Days

Self-Paced Training

50 Hours

Course Outline Expand All

Expand All

Module 1: Introduction to Generative AI & LLMs

Overview of AI, Machine Learning, and Deep Learning

Evolution of Generative AI & LLMs

Comparison of GPT, Gemini, Claude, Llama, and Mistral

Hands-on: Exploring LLM APIs (ChatGPT, OpenAI API, Hugging Face)

Module 2: Understanding Large Language Models (LLMs)

How LLMs work: Transformer architecture, Attention Mechanism

Pre-training vs. Fine-tuning vs. RLHF (Reinforcement Learning with Human Feedback)

Tokenization, embeddings, and sequence processing

Hands-on: Building a basic text generation model using Hugging Face

Module 3: Prompt Engineering & Optimization

Basics of prompt design

Zero-shot, Few-shot, and Chain-of-Thought prompting

Advanced prompt strategies for LLMs & AI Agents

Hands-on: Optimizing LLM performance using structured prompts

Module 4: Fine-Tuning & Customizing LLMs

Introduction to Fine-Tuning & Transfer Learning

Tools: LoRA (Low-Rank Adaptation), PEFT (Parameter-Efficient Fine-Tuning)

Fine-tuning LLMs with custom datasets

Hands-on: Fine-tuning a GPT-3.5/4 model using OpenAI API or Hugging Face

Module 5: Building AI Applications with LLMs

Developing AI chatbots & virtual assistants

Using LangChain for AI-powered applications

Connecting LLMs with external data sources & APIs

Hands-on: Building an AI chatbot using OpenAI API & LangChain

Module 6: Enterprise Applications & Use Cases

AI in Customer Support, Healthcare, Finance, and E-Commerce

Automating content creation and knowledge management

Using LLMs for code generation & software development

Case studies of real-world LLM adoption

Module 7: Ethics, Security & Responsible AI

Bias & fairness in LLMs

Data privacy & security risks

Compliance with AI regulations (EU AI Act, GDPR, etc.)

AI safety & explainability challenges

Who is the instructor for this training?

The trainer for this Gen AI: Large Language Model (LLM) Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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