Level Up Your AI Skills
Curated courses from the world's top learning platforms. From beginner-friendly introductions to advanced specializations.
Coursera
Stanford, Google & universities
edX
Harvard, MIT & institutions
Udacity
Nanodegrees & career support
Udemy
Affordable & practical courses
DataCamp
Interactive data & AI learning
Machine Learning
Stanford University
Andrew Ng's legendary course covering machine learning, data mining, statistical pattern recognition, and deep learning fundamentals.
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.
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.
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.
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.
Professional Certificate in AI
Harvard University
Comprehensive program combining foundational computer science knowledge with key AI concepts, grounded in Harvard's CS50 curriculum.
Machine Learning with Python
IBM
Five-week course covering essential machine learning skills using Python. Progress from foundational principles to practical applications.
Data Science: Machine Learning
Harvard University
Project-based course focused on machine learning algorithms through designing a movie recommendation system.
Deep Learning Nanodegree
Udacity
Comprehensive deep learning program covering CNNs, RNNs, and GANs. Build and deploy neural networks using PyTorch.
AI Programming with Python
Udacity
Learn Python, PyTorch, linear algebra, and neural networks. Perfect preparation for advanced AI and machine learning studies.
Intro to Machine Learning
Udacity
Free introductory course covering foundational machine learning concepts including supervised and unsupervised learning.
Intro to TensorFlow for Deep Learning
Learn to build deep learning applications with TensorFlow. Includes hands-on projects and real-world applications.
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.
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.
Deep Learning with TensorFlow
365 Careers
Focus on building, training, and deploying deep learning models using TensorFlow through real-world projects.
Understanding Artificial Intelligence
DataCamp
Cover the basics of AI including machine learning, deep learning, NLP, and generative AI. Explore challenges and societal implications.
Machine Learning with scikit-learn
DataCamp
Comprehensive introduction to scikit-learn, a key Python library for ML and data analysis. 320,000+ enrollments.
Introduction to ChatGPT
DataCamp
Learn to effectively use ChatGPT with best practices for prompt writing and common business applications.
Generative AI Concepts
DataCamp
Explore what Generative AI is, how it works, ethical considerations, and its impact on society.
Deep Learning with PyTorch
DataCamp
Learn fundamentals of neural networks and build deep learning models using PyTorch, a popular deep-learning framework.
Developing LLM Apps with LangChain
DataCamp
Learn to integrate LLMs with other tools to create dynamic, data-driven applications using LangChain.
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