Prompt Engineering Courses

Employ the abilities of Generative AI with a deep dive into fundamentals. This course examines how various models are developed, how they work, and how to use them to their full potential.

Go beyond simple prompts and learn to design robust, Azure-native AI agents. In this course, you’ll use Microsoft Foundry and the Agent Service to build role-based agents that reason, plan, and act with real-world tools and data. You’ll master advanced prompting techniques—including Chain-of-Thought, ReAct, and systematic prompt refinement—to turn raw model capabilities into reliable, controllable behavior. You'll chain agents into multi-step workflows, adding validation gates and feedback loops so agents can inspect, correct, and improve their outputs. Through focused, hands-on labs, you’ll apply these patterns to a realistic supply chain scenario, culminating in a multi-tool agent that can analyze data, call utilities, and support complex operational decisions end to end.

This course equips you with strategies to harness the power of Google Cloud’s Gemini for agentic AI development. You will explore the fundamentals of agentic AI and advanced prompting techniques such as role-based prompting and chain-of-thought (CoT) prompting. The course covers prompt instruction refinement and chaining methods for enhancing reasoning capabilities. Additionally, you will learn to implement feedback loops specifically for code generation tasks. For the final project, you will design a Legal Intelligence AI System, applying learned techniques to solve real-world legal challenges.

Harness the impressive capabilities of OpenAI's popular large language model (LLM). This course explains the technology behind how ChatGPT works while teaching how to write strategic prompts that yield high-quality outputs.

Make your day more productive with smart tools that help you stay organized and get more done. Give feedback to AI so it learns what works best for your business. Create and share custom content in Microsoft 365 apps like Word, Excel, PowerPoint, and Teams. Set up reusable prompts to save time and keep things consistent, especially for tasks you do often or projects that get complicated. Whether you're writing clear messages or working with data, you'll be more efficient, more creative, and always in control.

Taught by top UC Berkeley machine learning experts, this free course shows you how to build AI apps using Google’s Gemini API and AI Studio with text, images, and code.

This course provides a comprehensive high-level overview of Generative AI, beginning with foundational concepts and terminology and then delving into specific applications such as Large Language Models (LLMs) for text generation and diffusion-based models image creation. Key lessons include an in-depth look at LLMs, AI image generation methods, and hands-on experience with tools like DALL-E and Midjourney. The course concludes by addressing practical aspects of deploying Generative AI in production environments, focusing on data collection, prompt execution, maintenance, and orchestration strategies.

Optimize your generative AI prompts using zero-shot and few-shot learning techniques.