Artificial Intelligence (AI) is changing the landscape of project management by introducing new tools and methodologies that significantly enhance project efficiency, decision-making, and strategic planning. The AI-Driven Project Manager (AIPM) certi…
AI Trainings
Access various online training courses for free and get upskilled in your own time.
PMI Cognitive Project Management in AI (CPMAI)
This free course introduces the foundations of AI project management and the CPMAI™ methodology, the industry’s leading framework for managing and delivering AI projects.
Lovable Tutorial Videos
Explore our tutorial videos including tutorials, product demonstrations, user success stories, and more.
Microsoft Ninja Training – For Specific Products
Calling all ninjas! Check out the Microsoft Ninja Training Resources! Whether you’re a beginner or an advanced learner, these comprehensive training resources will help you become an expert in security, compliance, and identity!
Microsoft Learn – AI
Learn new skills and discover the power of Microsoft products with step-by-step guidance. Start your journey today by exploring our learning paths and modules.
OpenAI Academy
Unlock the opportunities of the AI era by equipping yourself with the knowledge and skills to harness artificial intelligence effectively.
Google AI – Learn essential AI skills
We’re building AI skills programs, trainings, and tools to address the specific needs of workers everywhere. Discover Google’s courses and resources designed to help you succeed in an AI-driven world.
AWS Educate
AWS Educate is open to any individual, regardless of where they are in their education, technical experience, or career journey. Simplify your journey into cloud computing and AI with AWS Educate – your free, curated learning path to in-demand tech s…
AWS Generative AI
Generative AI is a transformative technology that can create new content, including text, images, code, and more, by learning patterns from existing data. It helps businesses and developers automate tasks, enhance creativity, and solve complex proble…
Stanford MLSys
Learn the foundations of production-ready ML, including system architecture, productionization, and performance tuning. Machine learning is driving exciting changes and progress in computing. What does the ubiquity of machine learning mean for how pe…
Berkeley LLM Agents
Learn how agents work, including planning engines, tool usage, and reasoning systems from real-world practitioners. Large language models (LLMs) have revolutionized a wide range of domains. In particular, LLMs have been developed as agents to interac…
DeepMind RL Course
RL is the next frontier. Learn everything from basics to policy optimization, value learning, and planning. Humans excel at solving a wide variety of challenging problems, from low-level motor control through to high-level cognitive tasks. Our goal a…
Stanford CS236 – Generative AI
Build intuition on modern gen-AI, including diffusion models, VAEs & flows, and image synthesis. Generative models are widely used in many subfields of AI and Machine Learning. Recent advances in parameterizing these models using deep neural networks…
UMich Deep Learning for CV
Learn SOTA computer vision from CNNs to modern applications. Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applica…
Stanford CS336 – Language Models
Deeply understand data preproc, LLM building blocks, evals, scaling, and reasoning. Language models serve as the cornerstone of modern natural language processing (NLP) applications and open up a new paradigm of having a single general purpose system…
Neural Networks: Zero to Hero
Learn from Karpathy as he walks you through backpropping to building your own GPT from scratch. A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks togeth…
MIT 6.S191 – Intro to Deep Learning
Fast-track tour of modern Deep Learning. Master everything from the basics of DL to the latest applications. The class consists of a series of foundational lectures on the fundamentals of neural networks and their applications to sequence modeling, c…
CS224N: NLP with Deep Learning
Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks.
CS224U: Natural Language Understanding
This project-oriented class is focused on developing systems and algorithms for robust machine understanding of human language. It draws on theoretical concepts from linguistics, natural language processing, and machine learning.
CS234: Reinforcement Learning
To realize the dreams and impact of AI requires autonomous systems that learn to make good decisions. Reinforcement learning is one powerful paradigm for doing so, and it is relevant to an enormous range of tasks, including robotics, game playing, co…
Berkeley LLM Agents
Learn how agents work, including planning engines, tool usage, and reasoning systems from real-world practitioners. Large language models (LLMs) have revolutionized a wide range of domains. In particular, LLMs have been developed as agents to interact with the world and…
DeepMind RL Course
RL is the next frontier. Learn everything from basics to policy optimization, value learning, and planning. Humans excel at solving a wide variety of challenging problems, from low-level motor control through to high-level cognitive tasks. Our goal at DeepMind is to cre…
Stanford CS236 – Generative AI
Build intuition on modern gen-AI, including diffusion models, VAEs & flows, and image synthesis. Generative models are widely used in many subfields of AI and Machine Learning. Recent advances in parameterizing these models using deep neural networks, combined with prog…
UMich Deep Learning for CV
Learn SOTA computer vision from CNNs to modern applications. Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual rec…
Stanford CS336 – Language Models
Deeply understand data preproc, LLM building blocks, evals, scaling, and reasoning. Language models serve as the cornerstone of modern natural language processing (NLP) applications and open up a new paradigm of having a single general purpose system address a range of …
Neural Networks: Zero to Hero
Learn from Karpathy as he walks you through backpropping to building your own GPT from scratch. A course on neural networks that starts all the way at the basics. The course is a series of YouTube videos where we code and train neural networks together.
MIT 6.S191 – Intro to Deep Learning
Fast-track tour of modern Deep Learning. Master everything from the basics of DL to the latest applications. The class consists of a series of foundational lectures on the fundamentals of neural networks and their applications to sequence modeling, computer vision, gene…
CS224N: NLP with Deep Learning
Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning approaches have obtained very high performance on many NLP tasks.
CS224U: Natural Language Understanding
This project-oriented class is focused on developing systems and algorithms for robust machine understanding of human language. It draws on theoretical concepts from linguistics, natural language processing, and machine learning.
CS234: Reinforcement Learning
To realize the dreams and impact of AI requires autonomous systems that learn to make good decisions. Reinforcement learning is one powerful paradigm for doing so, and it is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling and …
CS229M: Machine Learning Theory
When do machine learning algorithms work and why? How do we formalize what it means for an algorithm to learn from data? How do we use mathematical thinking to design better machine learning methods? This course focuses on developing a theoretical understanding of the s…
CS230: Deep Learning (Andrew Ng)
Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional ne…
CS229: Machine Learning (Andrew Ng)
This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative learning, parametric/non-parametric learning, neural networks); unsupervised learning (clustering, dimensionality reductio…
CS221: Artificial Intelligence
The goal of artificial intelligence (AI) is to tackle complex real-world problems with rigorous mathematical tools. In this course, you will learn the foundational principles and practice implementing various AI systems.
IBM Quantum Learning
Learn the basics of quantum computing. Quantum computing uses quantum mechanics to solve really complex problems—the types of problems today’s supercomputers can’t handle. It has the potential to lead to major breakthroughs in fields like medicine and finance, allowin…
IBM AI Courses
Discover courses that can give you a head start in areas like generative AI, machine learning, and more. IBM SkillsBuild AI Level Up can help you choose the right path.
Amazon — Introduction to Generative AI with AWS
Master the fundamentals of generative AI and develop a deep understanding of its historical context and real-world applications. Explore AI and machine learning foundations using AWS tools, large language models (LLMs) with transformer-based architectures, and the socie…
Amazon — AWS Machine Learning Foundations Course (by Udacity & AWS)
Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI. Learn the fundamentals of advanced machine learning areas such as computer vision, reinforcement lear…
Google Cloud — Introduction to Generative AI
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Google Machine Learning Crash Course — Google AI
Google’s fast-paced, practical introduction to machine learning, featuring a series of animated videos, interactive visualizations, and hands-on practice exercises.
IBM AI Engineering Professional Certificate — IBM / Coursera
Artificial intelligence (AI) is revolutionizing entire industries, changing the way companies across sectors leverage data to make decisions. To stay competitive, organizations need qualified AI engineers who use cutting-edge methods like machine learning algorithms and…
OpenAI API Crash Course — freeCodeCamp (YouTube)
The new wave of AI systems, ChatGPT and its more powerful successors, exhibit extraordinary capabilities across a broad swath of domains. In light of this, we discuss whether artificial INTELLIGENCE has arrived.
Practical Deep Learning for Coders
This free course is designed for people (and bunnies!) with some coding experience who want to learn how to apply deep learning and machine learning to practical problems.
Introduction to Generative AI and LLMs (Part 1 of 18) | Generative AI for Beginners
Are you curious about the fascinating world of Generative AI and Large Language Models (LLMs)? Look no further! In this video, Carlotta Castelluccio takes us through the inner workings of Generative AI and how it is revolutionizing various industries, specifically educa…
CS50’s Introduction to Artificial Intelligence with Python — Harvard University
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students ga…
OpenAI Cookbook (Self-guided tutorials)
Example code and guides for accomplishing common tasks with the OpenAI API. To run these examples, you’ll need an OpenAI account and associated API key.
ChatGPT Prompt Engineering for Developers
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.
GenAI Agents
Tutorials and code for building generative AI agents, from simple workflows to complex architectures. Generative AI agents are at the forefront of artificial intelligence, revolutionizing the way we interact with and leverage AI technologies. This repository is designed…
Made with ML
Practical lessons on how to design, build, deploy, and iterate on production-ready ML applications. In this course, we’ll go from experimentation (design + development) to production (deployment + iteration). We’ll do this iteratively by motivating the components that w…
Hands-On Large Language Models
Full set of notebooks from the book, covers everything from LLM basics to advanced fine-tuning. Through the visually educational nature of this book and with almost 300 custom made figures, learn the practical tools and concepts you need to use Large Language Models tod…