Generative AI
Generative AI
What You'll Learn
- Master prompt engineering and LLM fundamentals
- Work with GPT, Claude, and open-source language models
- Generate images with DALL-E, Midjourney, and Stable Diffusion
- Build RAG applications with vector databases and LangChain
- Fine-tune language models for custom use cases
- Deploy AI agents and autonomous workflows
- Navigate AI ethics, safety, and responsible deployment
- Build a production-ready generative AI application
Course Content
Course Preview Video
Course Requirements
Basic Python programming knowledge recommended. Familiarity with APIs and command line tools is helpful but not required.
- Level: Intermediate
- Delivery: Online / Self-paced
- Prerequisites: Python basics and API familiarity
- Certificate: Certificate of Completion upon successful completion
Frequently Asked Questions
Do I need AI experience?
Basic Python knowledge is helpful. We cover AI and LLM concepts from the ground up, so no prior AI experience is required.
What GenAI topics are covered?
The course covers LLMs, prompt engineering, OpenAI APIs, RAG with vector databases, fine-tuning, AI agents, and building production generative AI applications.
Will I build real AI applications?
Yes, you'll build chatbots, RAG systems, AI agents, and image generation apps. The capstone involves a production-ready generative AI application.
Do I need an OpenAI API key?
We'll show you how to get started with free tiers and credits. The course also covers open-source models that run locally for free.
How long is the course access?
You receive lifetime access to all course materials, including future updates on new models, tools, and techniques.
Will I receive a certificate?
Yes, you will receive a Certificate of Completion after successfully completing the capstone project and all assessments.
Course Tutor
Dr. Emily Chen
Dr. Emily Chen is a Principal AI Engineer and Generative AI Researcher with over 12 years of experience building large-scale AI systems. She has led generative AI teams at OpenAI and Anthropic, contributing to the development of GPT models and Claude. Dr. Chen holds a PhD in Natural Language Processing from UC Berkeley and has published over 60 research papers on language models and AI alignment. She is a co-creator of several popular open-source AI frameworks and a frequent speaker at NeurIPS and ICML. Dr. Chen is passionate about making generative AI accessible and helping developers build responsible AI applications.
Throughout this course, Emily will guide you through hands-on projects with cutting-edge AI tools, real-world case studies, and the exact techniques used by professional AI engineers to build production generative AI systems.
Course Reviews
Dr. Chen's expertise in generative AI is unmatched. The RAG and agent modules are particularly valuable. I built a production chatbot for my company after this course!
The prompt engineering module completely changed how I work with LLMs. Emily's teaching makes complex AI concepts accessible. Best GenAI course available!
As a software engineer, this course took my AI skills to the next level. The fine-tuning and agents sections are incredible. My salary doubled after applying these skills.
The OpenAI API and LangChain sections are extremely practical. I now build AI features into our product that users love. Emily's insights into production deployment are invaluable.
The image generation with Stable Diffusion module is fantastic. I now create custom AI art for clients. The capstone project gave me a portfolio that landed multiple freelance contracts.
PhD-level content made accessible. The AI ethics and safety modules are essential. I now feel confident building responsible AI applications. Truly transformative course!