Generative AI application design and development

Unlock the Power of Generative AI: A Practical Guide for Non-ML Experts

Curious about generative AI but feeling overwhelmed by the technical complexities of AI and ML? This course is specifically designed for you! Built from firsthand experience navigating the challenges of learning generative AI, this accessible program empowers individuals with no prior AI/ML background to quickly master this transformative technology.

Ideal for: IT professionals, application developers, and architects eager to integrate generative AI into their projects. Also perfect for students and professionals preparing for generative AI related job interviews, and anyone wanting to stay ahead in today's rapidly evolving tech landscape.

What You'll Learn:

• Generative AI Foundations: Understand the core concepts of Large Language Models (LLMs) and gain hands-on experience with leading models like Google Gemini, Anthropic Claude, OpenAI GPT, and various open-source LLMs from Hugging Face.
• Building Generative AI Applications: Discover practical techniques for creating innovative applications, including effective prompting techniques, inference control, in-context learning, and advanced RAG patterns (both naive and advanced), including agentic RAG.
• Latest Tools and Frameworks: Get practical experience with industry-leading tools such as LangChain, Streamlit, Hugging Face, and popular vector databases like Pinecone and ChromaDB.
• Multi-LLM Exploration: Learn to utilize multiple LLMs for exercises, allowing you to understand their unique behaviors and strengths.
• Reinforcement Learning: Solidify your understanding through engaging exercises, projects, and quizzes after each conceptual lesson.
• Harnessing Hugging Face: Master the Hugging Face platform, including its tools, libraries, and community resources, for efficient use of pre-trained models and custom application development.
• Advanced Techniques: Explore advanced topics like embeddings, search algorithms, model architecture, and fine-tuning to enhance your AI capabilities.
• Real-World Projects: Apply your newly acquired skills through hands-on projects like building a movie recommendation engine and a creative writing workbench.

Course Features:

• 23+ Hours of Video Content: Learn at your own pace with comprehensive video lessons.
• Hands-On Projects and Coding Exercises: Apply concepts through practical coding.
• Real-World Examples: See generative AI in action.
• Quizzes for Learning Reinforcement: Test your knowledge and solidify understanding.
• GitHub Repository with Solutions: Access code examples and solutions.
• Web-Based Course Guide: A convenient resource to support your learning.

Why Choose This Course?

This course was developed by Rajeev Sakhuja, drawing on his own journey of learning generative AI. He designed this structured program to make the learning process simple and accessible for anyone without a prior AI/ML background.

No AI/ML Background Needed: This course is specifically designed for beginners.
Hands-On Learning: Engage with practical projects and coding exercises.
Expert Guidance: Learn from Rajeev Sakhuja, an experienced IT consultant with over 20 years in the industry.
Comprehensive Curriculum: Over 18 hours of video lessons, quizzes, and exercises, plus a helpful course guide.
Latest Tools and Frameworks: Gain proficiency in cutting-edge technologies like LangChain, Streamlit, Hugging Face, Pinecone, FAISS, and ChromaDB.

Who Should NOT Take This Course?

This course is not intended for individuals seeking an in-depth understanding of the internal workings of generative AI models or those aiming to gain a deep mathematical understanding of the models. Data Science professionals looking for a deep dive into model internals may find this course less focused on their specific needs.

Recent Course Updates:

• May 2025: Model Context Protocol (MCP)
• May 2025: Support for Python UV based environment
• Feb 2025: Fine-tuning of LLM
• Mar 2025: Added multiple new sections to the course guide