Machine Learning Specialization (Free Audit Mode)
DeepLearning.AI & Stanford / Coursera
Foundational 3-course series by Andrew Ng covering supervised learning, neural networks, decision trees, and unsupervised machine learning algorithms.
Practical Deep Learning for Coders
Fast.ai
Top-down, code-first introduction to practical deep learning with PyTorch, covering computer vision, NLP, tabular data, and deployment.
Hugging Face NLP Course
Hugging Face
Comprehensive open-source course teaching Transformers, tokenizers, fine-tuning models with datasets, and deploying pipelines to Hugging Face Hub.
Hugging Face AI Agents Course
Hugging Face
Hands-on curriculum exploring autonomous AI agents, tool-calling LLMs, LangChain/smolagents frameworks, and multi-agent coordination.
CS231n: Deep Learning for Computer Vision
Stanford University
Renowned Stanford course on convolutional neural networks, spatial localization, generative models, and computer vision architectures.
DeepMind Reinforcement Learning Lecture Series
DeepMind / UCL
Comprehensive university-level reinforcement learning lectures from DeepMind research scientists covering MDPs, dynamic programming, and deep Q-learning.
Full Stack Deep Learning (MLOps)
Full Stack Deep Learning
Course focused on bridging the gap between training ML models and shipping reliable, monitored production software in the cloud.
Securing Generative AI on AWS
AWS Skill Builder
Specialized course covering the OWASP Top 10 for Large Language Models, MITRE ATLAS framework, prompt injection defense, and GenAI security scoping matrices.
AI for Cybersecurity Specialization (Audit Mode)
Johns Hopkins University / Coursera
Specialized course series applying machine learning algorithms to malware classification, network anomaly detection, and defense against adversarial attacks.
Introduction to Security in the World of AI
Google Cloud / Coursera
Google training course exploring security implications of AI models, data privacy, model governance, and mitigating supply-chain vulnerabilities in ML pipelines.
Elements of AI
University of Helsinki & MinnaLearn
Internationally acclaimed introductory series explaining what AI is, how algorithms work, and their societal and technical implications with exercises.
CS50 Introduction to Artificial Intelligence with Python
Harvard University
College-level course exploring graph search algorithms, constraint satisfaction, machine learning, optimization, neural networks, and NLP in Python.
MIT Introduction to Machine Learning (6.036)
MIT OpenCourseWare
Complete MIT undergraduate course covering linear models, neural networks, support vector machines, clustering, and reinforcement learning with lecture notes and labs.
Google Machine Learning Crash Course
Google Developers
Self-study guide with video lectures, real-world case studies, and interactive TensorFlow Colab coding exercises.
Google Introduction to Generative AI
Google Cloud Skills Boost / Coursera
Introductory micro-learning path explaining generative AI concepts, large language model fundamentals, and responsible AI principles.
AI For Everyone
DeepLearning.AI / Coursera
Non-technical foundational course taught by Andrew Ng covering AI terminology, capabilities, limitations, and how to build realistic AI strategies.
freeCodeCamp Machine Learning with Python Certification
freeCodeCamp
Interactive curriculum covering TensorFlow, neural networks, computer vision, and recurrent networks with hands-on coding projects.
IBM AI Fundamentals on SkillsBuild
IBM SkillsBuild
Free learning pathway covering artificial intelligence concepts, natural language processing, computer vision, and AI ethics with digital credentials.
Kaggle Learn Micro-Courses
Kaggle
Fast, interactive coding tutorials covering Python, Pandas, machine learning, feature engineering, computer vision, and deep learning with Jupyter notebooks.
AWS Generative AI Learning Plan
AWS Skill Builder
Multi-course structured plan covering generative AI planning, foundations of prompt engineering, and building applications with Amazon Bedrock.
Building Language Models on AWS with SageMaker
AWS Skill Builder
Technical course for developers and data scientists covering how to build, fine-tune, evaluate, and deploy large language models using Amazon SageMaker.
Neural Networks: Zero to Hero
Andrej Karpathy
Masterclass video lecture series building micrograd, makemore, bigram models, MLPs, CNNs, and GPT from scratch in pure Python and PyTorch.
3Blue1Brown Neural Networks & Transformers Series
3Blue1Brown / Grant Sanderson
Incomparable visual mathematical animations explaining how neural networks learn, gradient descent, backpropagation, and transformer attention mechanisms.
StatQuest with Josh Starmer - Machine Learning & Stats
StatQuest / Josh Starmer
Crystal-clear visual breakdowns of decision trees, random forests, PCA, SVMs, gradient boosting, and neural network mechanics.
Cybrary AI for Cybersecurity
Cybrary
Exploration of how machine learning and artificial intelligence are applied in automated threat detection, behavioral analysis, and defensive operations.