Building Generative AI Skills for Developers

Courses under this program:
Course 1: Generative AI vs. Traditional AI
-See the key differences between generative and traditional AI.

Course 2: Prompt Engineering: How to Talk to the AIs
-Develop your AI skills by learning how to design and fine-tune prompts that can interact directly with large language models.

Course 3: Responsible GitHub Copilot: Creating Reliable Code Ethically
-Learn how to use GitHub Copilot to optimize not only speed and ease, but also the code and the more human side.

Course 4: AI Coding Agents with GitHub Copilot and Cursor
-Explore how to work with AI coding agents that can create, edit, organize, delete files, run programs in the command line, and more.

Course 5: Prompting ChatGPT with Multimodal Techniques
-Harness the full potential of ChatGPT by integrating image analysis, coding techniques, DALL-E artwork, and recent web data into your prompts.

Course 6: Hands-On AI: Building LLM-Powered Apps
-Get started building apps powered by large language models in this hands-on, skills-based course for beginners.

Course 7: Advanced Python Projects: Build AI Applications
-Learn the skills and knowledge needed to create a portfolio of Python-based applications and tools that can be showcased to employers or used to bring your own ideas to life.

Course 8: Synthetic Data: Advanced Concepts and Applications
-Learn advanced synthetic data concepts and applications to effectively leverage synthetic data in your industry.

Course 9: Fine-Tune Your LLMs
-Learn how to customize LLMs using your own data.

Course 10: Vector Databases in Practice: Deep Dive
-Go beyond the basics of vector databases by building a database and app from scratch, and learn key considerations along the way.

Course 11: RAG Fine-Tuning: Advanced Techniques for Accuracy and Model Performance
-Fine-tune LLMs in Azure AI Studio using retrieval augmentation to create domain-specific AI systems using state-of-the-art RAFT technique.

Course 12: Generative AI Tools for Productivity and Research
-A hands-on course exploring different generative AI tools for different use cases.