Curated learning path for AI Conference Talks. Build practical skills through expert-selected courses.
Start now · step 1 of 4
Varies by topic; basics usually sufficient
Some programming experience helpful
Follow these courses in order to complete the learning path. Click on any course to enroll.
An intermediate course for developers and designers on architecting immersive VR/AR environments powered by intelligent systems. It covers real-time object detection, voice-enabled NPC interactions, and adaptive UX.
This in-person workshop focuses on leveraging AI to customize proposals and make them more appealing to funders. It covers the essential components of successful grant systems, from strategic alignment to data-driven storytelling.
A two-part course series that teaches how to build a federated learning system using the Flower framework. The first part covers the federated training process, customization, and privacy-enhancing techniques. The second part focuses on applying federated learning to Large Language Models (LL Ms) with private data.
The OpenAI API is one of the most exciting advancements in the world of natural language and code processing.Its powerful models and flexible endpoints offer a wealth of possibilities for web developers looking to take their skills to the next level.In this comprehensive course, you will gain a deep understanding of the OpenAI API and its capabilities, along with hands-on experience in building your applications using Node JS, ReactJS, and NextJS.Whether you are a seasoned web developer or just starting, this course has something for everyone.What You Will Learn :The Completions Endpoint: at the heart of the OpenAI API, the completions endpoint is flexible enough to solve a wide range of language processing tasks, including content generation, summarization, semantic search, and sentiment analysis Models: explore the different models available through the OpenAI API, including the cutting-edge GPT-3 language model, and discover how they can be used to solve unique use cases Prompt Design and Settings: master the art of prompt design and settings and learn how they can impact the API's output Tokens: acquire a comprehensive understanding of tokens and how to use them to control the API's outputQuick Start Tutorial :In this course, you'll dive into the world of OpenAI and GPT-3 language models. Our focus will be on the completions endpoint and how it can be applied to text completion and various other language-processing tasks You'll learn how to use the OpenAI playground to experiment with code examples and understand the concepts of prompt design and settings, tokens, and models.The course will also include a Quick Star
Explore related content to expand your skills beyond this learning path.
Curated learning path for AI Conference Talks. Build practical skills through expert-selected courses.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Master fundamental concepts and terminology; Apply theoretical knowledge to practical projects; Build portfolio-worthy projects demonstrating your skills.
It's pitched at beginner level — a solid starting point if you're new to the topic.
4 curated courses, sequenced from foundational to advanced.
Around $269 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.