Generative AI Apps with ChatGPT, LangChain & Hugging Face

Unlock the potential of Generative AI and build innovative applications – even without extensive coding experience! This comprehensive course guides you through the world of AI, leveraging powerful tools like ChatGPT, LangChain, and Hugging Face to create real-world solutions.

Beginner-Friendly Start:

• No-Code AI Tools: Get a fast-track introduction for non-coders using intuitive tools like Zapier, Canva AI, and Notion AI. Discover how to harness the power of AI without writing a single line of code.
• Understanding Generative AI: Demystify how Generative AI works with clear, practical explanations – no complex math or technical jargon required.

Deep Dive into Large Language Models (LLMs):

• LLM Fundamentals: Explore the inner workings of Large Language Models (LLMs), including models like GPT and open-source alternatives.
• Prompt Engineering Mastery: Learn effective prompt engineering techniques to get the most out of LLMs. Understand the nuances of interacting with these powerful models.
• OpenAI APIs vs. Local Models: Master the differences between OpenAI APIs, running models locally, and choosing the best option for your project.

Hands-On Projects & Advanced Techniques:

• Building Intelligent Assistants: Develop practical applications using the OpenAI API and LangChain to create intelligent assistants and custom chatbots.
• LangGraph for Complex Workflows: Utilize LangGraph to design and implement complex, multi-step workflows for sophisticated AI applications.
• Agent-Based Tools: Build autonomous agent-based tools capable of performing tasks and interacting with the world.
• Hugging Face Models: Integrate powerful Hugging Face models for tasks like text classification.
• LoRA Fine-Tuning: Explore the basics of LoRA fine-tuning to customize models for specific use cases.
• Retrieval-Augmented Generation (RAG): Connect your AI to custom data – documents, PDFs, and websites – using embeddings and vector databases like Pinecone, ChromaDB, and FAISS.

Responsible AI & Deployment:

• AI Safety & Ethics: Understand crucial considerations for AI safety, bias mitigation, and responsible prompt engineering.
• Deployment Made Easy: Deploy your applications using user-friendly tools like Streamlit, Gradio, and Hugging Face Spaces.
• Frontend Integration: Add a simple HTML/CSS/JS frontend to showcase your AI projects live.

Capstone Projects & Portfolio Building:

• Real-World Capstone Projects: Complete practical capstone projects, including a Social Media Post Generator and a Podcast AI Summarizer.
• GitHub Portfolio: Build a professional GitHub portfolio to showcase your skills to potential clients and employers.

This course is perfect for developers, freelancers, entrepreneurs, and anyone eager to build intelligent applications with Generative AI. Gain the skills and confidence to shape the future of AI!