Master Python & Generative AI: From Novice to Expert in 15 Days

What you will learn:

Efficient Python programming techniques compared to Java
Seamless Java-to-Python skill transfer
Practical application of Python in real-world projects
Generative AI fundamentals and practical applications
Advanced LLM frameworks (Langchain, LlamaIndex)
Local LLM deployment and management
Image and text generation using cutting-edge AI tools
Effective prompt engineering for optimal AI interaction
Building real-world AI projects from scratch
Retrieval Augmented Generation (RAG) for enhanced AI applications

Description

Aspiring to build AI-powered applications but lack programming experience? This intensive 15-day course bridges the gap, guiding you from zero coding knowledge to confidently creating AI projects. We leverage a practical, narrative-driven approach, making learning both engaging and effective. If you're already familiar with Java, we highlight key similarities and differences, facilitating a smooth transition to Python's elegant syntax.

Dive into core Python concepts, from variables and data structures to functions and modules. Then, seamlessly transition into the exciting world of generative AI. You’ll explore leading AI tools like ChatGPT, DALL-E, and more, mastering prompt engineering and leveraging powerful frameworks like Langchain and LlamaIndex. Hands-on exercises will have you building real-world AI applications—including code generation, image creation, and sophisticated question-answering systems—all without needing prior AI expertise. We cover essential libraries, file handling, and deployment considerations, preparing you for success in today's AI-driven landscape.

Course Highlights:

Beginner-friendly: No prior Python or AI knowledge required.
Practical approach: Hands-on exercises and real-world project building.
Java-Python bridge: Ease your transition if you have a Java background.
Comprehensive coverage: Python fundamentals, generative AI tools, and advanced LLM frameworks.
Local LLM deployment: Gain proficiency in deploying and working with LLMs on your own machine.

Unlock your potential. Enroll today and become proficient in Python and Generative AI!

Curriculum

Introduction to Programming with Python

This section lays the foundation for your Python journey. The "Introduction to Python" lectures cover the basic syntax, including print statements, comments, variables, and data types. Building on this, the follow-up lecture delves deeper into these concepts, solidifying your understanding of the Python language's structure and functionality. You'll get acquainted with essential tools like Google Colab and Github.

Python: Mastering Control Flow and Data Structures

Here, you'll gain proficiency in controlling program flow using conditional statements and loops, addressing repetitive tasks efficiently. The lectures on data structures explore lists, sets, tuples, and dictionaries – essential building blocks for any Python program. The detailed approach ensures a comprehensive grasp of these fundamental concepts.

Functions, Modules, and Packages in Python

Learn to structure your code effectively by defining and calling functions, managing parameters and return values. You'll also master working with Python libraries and modules, including the 'math' module, utilizing PIP for package management. This section emphasizes efficient code organization and leveraging existing libraries for enhanced functionality.

Files, a Python Project, and Knowledge Consolidation

This section covers string manipulation and formatting, crucial for data processing. You'll master file handling, learning to read and write files in Google Colab, a skill vital for many applications. The practical component culminates in building a simple Python project based on the knowledge gained so far, reinforcing your learning.

Generative AI: An Introduction to Text and Code Generation

Enter the world of generative AI! This section introduces Large Language Models (LLMs) and explores text generation tools. You'll engage in practical exercises comparing ChatGPT and Gemini AI and learn code generation using tools like Claude and ChatGPT. The importance of effective prompt engineering for achieving desired AI outputs is also emphasized.

Advanced Generative AI: Image Generation and LLM Frameworks

This section dives deeper into advanced generative AI techniques. You’ll explore image generation using DALL-E, Midjourney, and Stable Diffusion. Learn how to run LLMs locally using Ollama and LM Studio, and master the Retrieval Augmented Generation (RAG) technique with vector stores like ChromaDB. Finally, you'll build projects utilizing powerful LLM frameworks: Langchain and LlamaIndex.