Accelerated Python for Generative AI: From Java to LLM Development

Master Python for Generative AI, translating Java expertise into practical skills for building and deploying cutting-edge LLM solutions.
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Python Fundamentals for Java Developers

Unit 1: Python's Core Syntax: A Java Developer's Guide

Unit 2: Operators and Expressions

Unit 3: Control Flow: Making Decisions

Unit 4: Essential Built-in Functions & I/O

Unit 5: Error Handling and Debugging Basics

Pythonic Data Structures and Functions

Unit 1: Lists: Python's Dynamic Arrays

Unit 2: Tuples: Immutable Sequences

Unit 3: Sets: Unique Collections

Unit 4: Dictionaries: Key-Value Pairs

Unit 5: Functions: Building Blocks of Code

Object-Oriented Programming in Python

Unit 1: Classes and Objects: The Python Way

Unit 2: Inheritance and Polymorphism

Unit 3: Advanced OOP Concepts & Design

Python Development Environment & Best Practices

Unit 1: Understanding Python Environments

Unit 2: Working with `venv`

Unit 3: Introduction to `conda`

Numerical Computing with NumPy

Unit 1: NumPy Basics: Arrays and Creation

Unit 2: Array Attributes and Indexing

Unit 3: NumPy Operations and Broadcasting

Data Analysis and Transformation with Pandas

Unit 1: Pandas Basics: Series & DataFrames

Unit 2: Data Inspection & Selection

Unit 3: Data Manipulation & Transformation

Introduction to Deep Learning with PyTorch/TensorFlow

Unit 1: Deep Learning Foundations

Unit 2: Working with PyTorch

Unit 3: Pre-trained Models & Inference

Exploring Generative Models with Hugging Face Transformers

Unit 1: Hugging Face Ecosystem & Transformers

Unit 2: Text Generation with LLMs

Unit 3: Summarization & Translation

Unit 4: Image Generation & Beyond

Unit 5: Advanced Pipeline Usage

Fine-tuning and Customizing Hugging Face Models

Unit 1: Transfer Learning & Fine-tuning Basics

Unit 2: Hugging Face Ecosystem for Fine-tuning

Unit 3: Implementing Basic Fine-tuning Workflows

Prompt Engineering for Large Language Models

Unit 1: Prompt Engineering Fundamentals

Unit 2: Advanced Prompting Strategies

Unit 3: Practical Prompt Engineering

Building Generative AI Applications with Frameworks

Unit 1: Introduction to LLM Application Frameworks

Unit 2: Building with LangChain: Chains & Agents

Unit 3: Building with LlamaIndex: Data & Retrieval

Unit 4: Advanced LLM Applications: RAG & Chatbots