These 10+ resources can help you learn how to get started with AI as a developer.
Getting started with AI doesn’t require a PhD, but it does require the right mix of fundamentals, intuition and practical exposure. The following resources strike that balance, giving developers a clear path from curiosity to capability.
https://www.nvidia.com/en-us/learn/ai-learning-essentials/
Labels: Free, For Developers, Structured Learning
NVIDIA delivers a structured, developer-friendly introduction to AI, covering everything from machine learning basics to deep learning workflows.
As powerful as it is convenient, this resource provides a guided path that keeps concepts grounded in real-world application.
https://www.anthropic.com/learn
Labels: Free, For Developers, Conceptual
Anthropic focuses on modern AI systems, including large language models (LLMs) and responsible AI practices. The material is concise, current and aligned with how AI is evolving today.
This is where foundational concepts meet real-world relevance.
https://karpathy.ai/
Labels: Free, Deep Dives, For Developers
Karpathy’s work stands out for its ability to connect theory with implementation. Neural networks, training loops and model behavior are explained in a way that resonates with engineers.
This is where developers move beyond using AI and begin to understand it.
https://www.youtube.com/@3blue1brown
Labels: Free, Conceptual, Deep Dives
3Blue1Brown transforms complex math into visual intuition. Topics like neural networks and gradients become approachable through clear, animated explanations.
With this level of clarity, abstract concepts start to feel practical.
https://www.youtube.com/@IBMTechnology
Labels: Free, For Developers, Industry Perspective
IBM’s channel bridges the gap between theory and enterprise use. It covers AI concepts, tooling and infrastructure with a focus on real-world adoption.
This is where AI is placed into the context of systems developers already understand.
https://www.youtube.com/@EverydayAI_
Labels: Free, Practical, Beginner-Friendly
Everyday AI emphasizes applied workflows and tools. It highlights how AI is used in day-to-day scenarios, making it easier to translate knowledge into action.
The key takeaway is simple: knowing how to use AI is just as important as knowing how it works.
https://www.youtube.com/@BurkeHolland/featured
Labels: Free, For Developers, Practical
Burke Holland’s content brings a developer-first perspective to modern tooling, including AI-powered workflows. The focus is on practical productivity, integrating AI into real development environments and making sense of rapidly evolving tools.
This is where AI meets day-to-day developer experience, with an emphasis on getting real work done.
https://dometrain.com/courses/?filters=ai
Labels: Paid, For Developers, Deep Dives
Dometrain offers in-depth, developer-focused courses that emphasize hands-on learning. The AI catalog includes practical training on building, integrating and deploying AI-powered applications.
The key to its success is its focus on real implementation. Developers are not just learning concepts, they are building solutions.
https://www.telerik.com/blogs/artificial-intelligence
Labels: Free, For Developers, Practical, Industry Perspective
The Progress Telerik AI blog provides developer-focused insights into how AI is being applied in modern applications. Topics range from integrating AI into UI workflows to exploring new tooling and frameworks.
This is where AI concepts are translated into practical guidance for building real-world applications.
https://www.progress.com/blogs/data-and-ai
Labels: Free, For Developers, Industry Perspective, Practical
The Progress Data & AI blog expands on broader data and AI topics, offering insights into trends, architecture and implementation strategies. It connects AI with the larger data ecosystem, highlighting how systems, pipelines and applications come together.
With this perspective, AI becomes part of a bigger picture, one that developers can design, build and scale.
https://developer.microsoft.com/en-us/reactor/
Labels: Free, For Developers, Live Learning, Community
Microsoft Reactor offers live and on-demand sessions covering AI, cloud and modern development practices. It brings together experts, community leaders and hands-on demos in an interactive format.
This is where learning becomes collaborative. Developers gain not just knowledge, but context from real-world discussions and evolving best practices.
https://learn.microsoft.com/en-us/ai/
Labels: Free, For Developers, Structured Learning
Microsoft Learn provides a comprehensive AI learning path with modules, exercises and hands-on labs. It spans fundamentals through advanced topics, often integrated with Azure services.
This is where structured learning meets practical implementation at scale.
https://ai.google/
Labels: Free, Conceptual, Industry Perspective
Google AI offers research insights, educational content and real-world applications of AI across products and services. It provides a broader view of how AI is shaping modern technology.
This is where innovation and research intersect with real-world impact.
https://www.youtube.com/@aiexplained-official
Labels: Free, Conceptual, Industry Perspective
AI Explained breaks down complex AI topics, trends and news into digestible insights. It is particularly useful for staying current with rapid advancements in the field.
This is where awareness of the AI landscape begins to take shape.
https://www.youtube.com/@bycloudAI
Labels: Free, Practical, For Developers
bycloud focuses on hands-on AI applications, tools and workflows. Content often explores building with modern AI stacks and integrating APIs into real solutions.
This is where experimentation turns into working implementations.
https://www.youtube.com/@t3dotgg
Labels: Free, For Developers, Practical
Theo Browne brings a full-stack developer perspective to AI, often exploring how AI fits into modern web development workflows.
This is where AI integrates into the tools developers already use daily.
https://www.youtube.com/@mattpocockuk
https://www.aihero.dev/
Labels: Free, Paid, For Developers, Practical
Matt Pocock focuses on developer productivity, TypeScript, and modern tooling, with growing coverage of AI-assisted development. AI Hero complements this with structured learning content.
This is where strong developer fundamentals meet AI-enhanced workflows.
https://www.youtube.com/@samwitteveenai
Labels: Free, Deep Dives, For Developers
Sam Witteveen provides deep technical explorations of LLMs, agents, and AI architectures. The content often includes hands-on walkthroughs and real implementations.
This is where developers dive deep into how modern AI systems are actually built.
AI learning is not a single track. It is a layered experience.
Start with structured fundamentals, build intuition through visualization and reinforce everything with practical use. With that approach, AI becomes less about theory and more about capability.
And that shift is where real progress begins.
Let us know in the comments what resources are missing from our list, and we just may add them to the post!
Ed Charbeneau is a web enthusiast, speaker, writer, design admirer, and Developer Advocate for Telerik. He has designed and developed web based applications for business, manufacturing, systems integration as well as customer facing websites. Ed enjoys geeking out to cool new tech, brainstorming about future technology, and admiring great design. Ed's latest projects can be found on GitHub.