Full Stack Generative AI: Deep Learning, CNN, LLM Agentic AI

Master the Future of AI: Python, Deep Learning & Generative AI

This comprehensive course provides a complete roadmap to understanding and implementing cutting-edge Artificial Intelligence technologies. Whether you're a complete beginner or a developer seeking to enhance your skills, you'll gain practical knowledge from the ground up.

Python Fundamentals & Data Manipulation:

• Python Programming Basics: Learn the core concepts of Python programming.
• Data Manipulation with NumPy & Pandas: Master essential data handling techniques using powerful libraries like NumPy and Pandas.
• Data Visualization with Matplotlib: Create insightful visualizations to understand and communicate data effectively.

Deep Learning Essentials:

• Deep Learning Fundamentals: Build a strong foundation in neural networks and their training methodologies. This section draws upon key concepts from a dedicated Deep Learning course, ensuring a solid understanding before moving to more advanced topics.
• Neural Network Training: Learn how to design, train, and optimize neural networks for various applications.

Generative AI: From GANs to LLMs

• Generative AI Overview: Explore the exciting world of Generative AI, a powerful subset of Deep Learning.
• GANs (Generative Adversarial Networks): Learn to train your own GANs for generating realistic data.
• VAEs (Variational Autoencoders): Understand and implement VAEs for data compression and generation.
• Large Language Models (LLMs): Dive into the capabilities of LLMs and learn how to leverage them for various tasks.
• Retrieval-Augmented Generation (RAG): Implement RAG techniques to enhance LLM performance with external knowledge.
• Diffusion Models: Explore the latest advancements in diffusion models for image and other data generation.

Agentic AI: Building Autonomous Agents

• Introduction to Agentic AI: Discover the principles and architectures behind intelligent agent systems.
• Agentic AI Protocols (MCP, ACP, A2A): Understand key protocols for designing and controlling AI agents.
• LangChain Framework: Utilize LangChain, a leading framework, to build autonomous, goal-driven AI agents.

Who is this course for?

• Beginners interested in exploring the field of AI.
• Developers looking to add AI capabilities to their projects.
• Anyone eager to learn about the latest advancements in Generative AI and Agentic AI.

Prerequisites:

• No prior programming or AI experience is required.
• Basic high-school math skills are helpful.
• A computer with internet access.
• A strong desire to learn through hands-on projects.

Resources:

• All code and Jupyter Notebook files are provided and available for download. A download link will be shared in the final session or resource section. Feel free to use the code in your own projects!
• A course completion certificate will be awarded upon successful completion, enhancing your professional portfolio.

Happy learning!