Generative AI is disrupting software development in many ways. That’s why if you are a software engineer, you must elevate your game to stay relevant and drive the next wave of innovation. We all know that software has been eating the world. AI, however, is very rapidly eating software.
If you don’t adapt and change, you will become a dinosaur in very few years. That’s why we built these free AI courses to help you stay relevant. Most of our courses are meant to familiarize you with core concepts in a very short time. Each course consists of short articles and code snippets you can finish in a few hours.
Prompt Engineering
Prompt engineering is designing and refining input prompts to guide AI models like GPT-4, Gemini, or Cloude to produce desired outputs. It involves crafting specific, clear, and context-rich prompts to enhance the model’s performance and accuracy in generating relevant and coherent responses.
Prompt Engineering For Software Developers
Beginner code included
Welcome to mastering Prompt Engineering! This course is your golden ticket to harness the power of Large Language Models like ChatGPT. Dive into crafting effective prompts that transform your AI projects from meh to marvelous. Whether you’re a newbie or a seasoned dev, get ready to level up your prompt game!
Prompt Engineering for Vision Models
Beginner code included
Unlock the potential of vision models with our course on prompt engineering! Master techniques for image generation, segmentation, and object detection using cutting-edge AI models like Stable Diffusion, Meta’s SAM, and OWL-ViT. Ideal for AI enthusiasts and developers looking to elevate their skills in AI-driven image manipulation.
LLMOps (Large Language Model Operations)
LLMOps (Large Language Model Operations) refers to the practices, tools, and processes for deploying, managing, and optimizing large language models in production. It includes model monitoring, maintenance, scalability, and integration to ensure efficient and reliable AI performance.
Building a Router Engine with LlamaIndex
beginner CODE INCLUDED
Your journey of building a cutting-edge router engine with LlamaIndex starts here! In this course, you’ll master the creation of advanced query-routing systems that leverage LlamaIndex and OpenAI models. From setting up your environment to scaling multi-document agents, this guide covers it all! By the end, you’ll be equipped to handle complex, multi-step queries like a pro, using tool-calling and agentic workflows. Ready to build a query engine that dominates any data challenge?
Fundamentals of LLMOps
beginner CODE INCLUDED
Join our unique LLMOps course to master the entire lifecycle of large language models! Learn to manage, deploy, and optimize efficiently with a blend of theory and hands-on practice. Streamline your ML workflows with a focus on automation, data preparation, and pipeline orchestration. Dive in and lead the AI revolution!
Retrieval Augmented Graphs (RAG)
Getting Started with Mistral AI
intermediate code included COMING SOON
Welcome to the ultimate guide on Mistral models! Whether you’re just starting or a seasoned pro, this series covers everything from setup to deploying interactive AI applications. In this free AI course, you will learn to leverage Mistral’s advanced features, including Retrieval-Augmented Generation (RAG), and optimize your AI workflows with precise prompting techniques. By the end, you’ll have the technical know-how to seamlessly integrate Mistral into your projects and enhance your AI capabilities. Ready to take your AI game to the next level?
LLM Applications with Multimodal Search and RAG
beginner CODE INCLUDED
This free AI course will help you conquer the advanced world of multimodal LLM applications! It dives deep into Multimodal Search and Retrieval-Augmented Generation (RAG). You’ll learn to integrate diverse data types—text, images, and videos—using powerful AI models to build cutting-edge search and recommendation systems. By the end, you’ll have mastered creating seamless, context-aware experiences for real-world applications. Ready to unlock the potential of multimodal AI?
Retrieval Augmented Generation (RAG) with Unstructured Data for LLM Applications
intermediate code included COMING SOON
Unlock the power of unstructured data with our course on Retrieval-Augmented Generation (RAG) for Large Language Models (LLMs). Learn to preprocess text, images, PDFs, and tables, extract valuable metadata, and enhance LLM performance in real-world applications. Master techniques like Document Layout Detection and Vision Transformers to stay ahead in AI development!
LLM Applications with Multimodal Search and RAG
intermediate code included
Discover the advanced world of multimodal search and Retrieval-Augmented Generation (RAG) with our course! Learn to integrate text, images, and videos to create sophisticated AI-driven search and recommendation systems. Master practical skills to enhance data retrieval and content generation for real-world applications.