Artificial intelligence is the talk of the town. As AI adoption becomes more and more commonplace, big companies are now relying on generative AI tools – and the people who know how to use them – to turn bigger profits.

Stay ahead of the curve and stand out as a tech-savvy professional by joining this online course from PragmaticAI, helping you adapt your practices to align with where AI is heading.

In just three weeks, you’ll not only have learned the basics of generative AI and how to leverage its models, you’ll also be on your way to building robust generative AI systems of your own.

Learn the basics of generative AI and large language models

You’ll begin with an introduction to generative AI, exploring what it is, how it started, and it’s evolution into the large language models (LLM) we use today.

In studying the generative AI landscape and systems available, as well as diving into generative AI’s architecture and processes, you’ll grasp how each model works, even major foundation models, like ChatGPT and Hugging Face.

Interact with AI models

Once you’ve grasped the basics, you’ll advance to interacting directly with generative AI models. You’ll learn the essentials of prompt engineering, including how to craft effective prompts and use techniques like few-shot prompting, chaining prompts, and task breakdowns.

By the end of the week, you’ll be able to apply advanced skills to overcome context limitations.

Build AI applications with Retrieval Augmented Generation and Azure

Finally, you’ll explore different types of generative AI applications, from API-based to multi-model systems.

With newly acquired AI skills, you’ll learn the fundamentals of building AI applications, like Retrieval Augmented Generation (RAG), and testing it it on cloud tools, like Azure.