Level Up Your AI Skills
Curated courses organized around the value chain and 6 pillars, so you can build capability in the right sequence.
The 6 pillars of AI adoption
Strategy & Leadership
Define vision, sponsorship, and measurable goals.
Use Case Clarity & Value
Prioritize high-ROI use cases with clear outcomes.
Data & Information Readiness
Ensure accessible, reliable data for AI.
Technology & Integration
Select the stack and integrate safely.
Skills & Ways of Working
Build the teams, roles, and operating model.
Risk, Governance & Trust
Manage compliance, ethics, and safety.
Not Sure Where to Start?
Assess your pillars and get a personalized learning path.
Take the Skills Assessment
Coursera
edX
DataCamp
Udemy
Generative AI for Everyone
DeepLearning.AI
Taught by AI pioneer Andrew Ng, this course empowers you and your work with generative AI. Learn how generative AI works and what it can (and can't) do. No prior knowledge of AI or coding skills required.
Machine Learning
Stanford University
Andrew Ng's legendary course covering machine learning, data mining, statistical pattern recognition, and deep learning fundamentals.
Deep Learning Specialization
DeepLearning.AI
Master deep learning, build neural networks, and learn to lead AI projects. Covers CNNs, RNNs, LSTM, and practical projects with TensorFlow.
CS50's Introduction to AI with Python
Harvard University
Part of the renowned CS50 series. Hands-on dive into AI fundamentals covering search algorithms, knowledge representation, optimization, and machine learning.
AI For Everyone
DeepLearning.AI
Non-technical introduction to AI for business professionals. Learn how AI can be integrated into your workflow and understand its societal impact.
Google AI Essentials
Learn practical usage of AI tools to improve your day-to-day life, including how to use AI tools to generate ideas and content, help research, organize, and make more informed decisions.
Introduction to ChatGPT
DataCamp
Learn to effectively use ChatGPT with best practices for prompt writing and common business applications.
Generative AI with Large Language Models
DeepLearning.AI & AWS
The gold standard for learning how LLMs like GPT-4 work under the hood. Blends deep theory with practical examples — perfect for developers and business leaders who want to leverage AI effectively.
Professional Certificate in AI
Harvard University
Comprehensive program combining foundational computer science knowledge with key AI concepts, grounded in Harvard's CS50 curriculum.
Introduction to Generative AI
Google Cloud
Build a solid foundation in generative AI, covering models like VAEs and GANs. Learn what generative AI is, how it's used, and how it differs from traditional ML.
Developing LLM Apps with LangChain
DataCamp
Learn to integrate LLMs with other tools to create dynamic, data-driven applications using LangChain.
Prompt Engineering Specialization
Vanderbilt University
Master the art of prompt engineering for generative AI. Learn to write effective prompts, understand prompt patterns, and leverage AI tools more effectively.
Understanding Artificial Intelligence
DataCamp
Cover the basics of AI including machine learning, deep learning, NLP, and generative AI. Explore challenges and societal implications.
Natural Language Processing Specialization
DeepLearning.AI
Master cutting-edge NLP techniques including sentiment analysis, machine translation, summarization, and question-answering with deep learning.
Data Science: Machine Learning
Harvard University
Project-based course focused on machine learning algorithms through designing a movie recommendation system.
Mathematics for Machine Learning Specialization
Imperial College London
Build the mathematical foundations required for ML algorithms. Covers linear algebra, multivariate calculus, and principal component analysis.
IBM AI Developer Professional Certificate
IBM
Build job-ready skills in AI technologies, generative AI models, and programming. Learn to build AI-powered chatbots and apps using IBM Watson and modern AI frameworks.
AI in Healthcare Specialization
Stanford University
Apply AI to solve real-world problems in healthcare. Covers clinical data, medical imaging, and healthcare operations with hands-on projects.
Machine Learning with Python
IBM
Five-week course covering essential machine learning skills using Python. Progress from foundational principles to practical applications.
Complete AI & ML Data Science Bootcamp
Andrei Neagoie & Daniel Bourke
Complete bootcamp covering deep learning, transfer learning, neural networks with TensorFlow 2, supervised and unsupervised learning, and data wrangling.
Generative AI Concepts
DataCamp
Explore what Generative AI is, how it works, ethical considerations, and its impact on society.
Deep Learning with TensorFlow
365 Careers
Focus on building, training, and deploying deep learning models using TensorFlow through real-world projects.
Machine Learning A-Z: AI, Python & R
Kirill Eremenko & Hadelin de Ponteves
Master machine learning with Python and R. Covers linear regression, logistic regression, k-nearest neighbors, decision trees, random forests, and more.
Artificial Intelligence A-Z: Build AI
Hadelin de Ponteves
Build AI from scratch. Covers deep learning, reinforcement learning, and NLP using TensorFlow and Keras.
AI Product Management Specialization
Duke University
Learn to lead AI product development from ideation to launch. Covers AI strategy, building AI teams, and managing AI products for business impact.
Machine Learning with scikit-learn
DataCamp
Comprehensive introduction to scikit-learn, a key Python library for ML and data analysis. 320,000+ enrollments.
Generative AI Fundamentals Specialization
IBM
Learn the foundational concepts of generative AI systems. Understand how models like GPT and DALL-E work and their applications in business.
Deep Learning with PyTorch
DataCamp
Learn fundamentals of neural networks and build deep learning models using PyTorch, a popular deep-learning framework.