IT: Artificial Intelligence & Data
The complete AI/ML stack. Foundations of machine learning through deep learning, ChatGPT, large language models, generative AI, TensorFlow, and the cloud platforms (AWS, Azure, Bedrock) hosting it all.
Artificial Intelligence All-in-One Essentials
A comprehensive introduction to AI, machine learning, and data-driven applications, bringing the core concepts and tools together.
Browse 4 courses
- Foundations of Generative AI and Copilots (51 lessons)
- Applied Generative AI Tools & Data (50 lessons)
- Building and Deploying Generative AI (50 lessons)
- Applied AI Integration and Deployment (50 lessons)
Artificial Intelligence Essentials
A plain-English overview of artificial intelligence—what it is, how it works, and where it's used—for newcomers to the field.
Browse 4 courses
- Foundations of Artificial Intelligence (22 lessons)
- Machine Learning Foundations and Applications (22 lessons)
- Applied AI Systems and Ethics (21 lessons)
- AI Applications in Advanced Contexts (21 lessons)
Autonomous Minds
Explores the technology behind autonomous and agentic AI systems, explaining how machines learn to act and make decisions independently.
Browse 4 courses
- AI Agents: Societal and Personal Impacts (10 lessons)
- Societal and Agentic Foundations (10 lessons)
- Societal, Strategic, and Risk Impacts of Agentic AI (10 lessons)
- AI Impacts, Safety, and Futures (10 lessons)
AWS Certified AI Practitioner Study Guide
Complete exam preparation for the AWS Certified AI Practitioner credential, covering cloud-based machine learning services and best practices.
Browse 4 courses
- AI Foundations and AWS Services (14 lessons)
- AI Model Deployment and Governance (14 lessons)
- Deploying and Governing AI on AWS (14 lessons)
- AI Practitioner Exam Capstone (13 lessons)
Causal Artificial Intelligence
Introduces causal AI—machine learning that understands cause and effect—and why it produces more reliable, explainable models.
Browse 4 courses
- Foundations of Causal AI (17 lessons)
- Foundations of Causal Model Development (17 lessons)
- Causal AI Implementation and Governance (17 lessons)
- Future Trends and Integration in Causal AI (17 lessons)
ChatGPT Essentials
Get started with ChatGPT and generative AI chatbots, learning to write effective prompts and apply them to everyday tasks.
Browse 4 courses
- Foundations of Generative AI (28 lessons)
- Practical Prompting and Integration (28 lessons)
- Advanced Prompting and Production (27 lessons)
- Advanced ChatGPT Applications and Integration (27 lessons)
Deep Learning Essentials
A beginner-friendly look at deep learning and neural networks, explaining how they power modern AI applications.
Browse 4 courses
- Foundations of Deep Learning (22 lessons)
- Deep Learning Foundations and Tools (21 lessons)
- Deep Learning Implementation and Deployment (21 lessons)
- Applied Deep Learning Tools and Deployment (21 lessons)
Enterprise AI in the Cloud
A practical guide to building and running enterprise AI workloads on cloud platforms, covering architecture, tools, and deployment.
Browse 4 courses
- Foundations of Enterprise AI Strategy (25 lessons)
- Enterprise AI Deployment and Operations (24 lessons)
- Operationalizing Enterprise AI (24 lessons)
- Enterprise Model Monitoring and Evaluation (24 lessons)
GenAI on AWS
Build generative AI applications on Amazon Web Services, covering foundation models, tooling, and deployment on the cloud.
Browse 4 courses
- Foundations of AI and Deep Learning (21 lessons)
- Generative AI Foundations and AWS Tools (21 lessons)
- Implementing Generative AI on AWS (20 lessons)
- RAG and Generative AI on AWS (20 lessons)
Generative AI Essentials
An approachable introduction to generative AI tools, explaining how they create text, images, and more, and how to use them well.
Browse 4 courses
- Generative AI Foundations (24 lessons)
- GenAI Content Creation and Oversight (23 lessons)
- Applied Generative AI Production (23 lessons)
- Advanced Prompting and Creative Applications (23 lessons)
Large Language Model-Based Solutions
A practical guide to building applications powered by large language models, covering design, deployment, and optimization.
Browse 4 courses
- Efficient LLM Customization and Inference (8 lessons)
- Efficient Inference and Fine-Tuning (8 lessons)
- Model Selection and Prompting (7 lessons)
- Inference Optimization and Monitoring (7 lessons)
Machine Learning Essentials
An accessible introduction to machine learning, explaining how algorithms learn from data and how to apply them in practice.
Browse 4 courses
- Foundations of Machine Learning (24 lessons)
- Foundations of Model Building (24 lessons)
- Modeling, Evaluation, and Optimization (24 lessons)
- Applied Model Training and Evaluation (24 lessons)
Machine Learning Upgrade
A practical guide for data professionals to modernize machine-learning workflows with the latest tools and techniques.
Browse 4 courses
- Foundations of Modern ML Systems (9 lessons)
- LLM Data Selection and Experimentation (9 lessons)
- Model Deployment and Monitoring (9 lessons)
- Production ML Monitoring and Deployment (9 lessons)
neuroAI
Explores the intersection of neuroscience and artificial intelligence, and how brain-inspired approaches advance machine intelligence.
Browse 4 courses
- Foundations of NeuroAI Marketing (40 lessons)
- Multisensory NeuroDesign for Virality (39 lessons)
- Neuroaesthetics of Brand Experience (39 lessons)
- Neuro‑Sensory Branding and Packaging (39 lessons)
Rise of the Machines
A guide to defending against increasingly automated cyber threats and building resilient security in an AI-driven world.
Browse 4 courses
- Secure Systems Foundations (3 lessons)
- Threat Analysis and Vulnerability Assessment (3 lessons)
- Automation and Machine Learning Defenses (2 lessons)
- Advanced Incident Response and Automation (2 lessons)
Securing Microsoft Azure OpenAI
A practical guide to securing AI workloads on Azure OpenAI, covering identity, data protection, and compliance.
Browse 4 courses
- Governance and Secure Hosting for Azure AI (9 lessons)
- LLM Application Security Controls (9 lessons)
- Deploying Secure Azure LLM Infrastructure (8 lessons)
- Azure AI and LLM Security (8 lessons)
Spatial Computing: An AI-Driven Business Revolution
Explores spatial computing and AR/VR, and how AI-driven immersive technology is reshaping business and everyday experience.
Browse 4 courses
- Foundations of AI-Driven Spatial Computing (21 lessons)
- AI and Spatial Computing Applications (20 lessons)
- Integrating AI into Spatial Experiences (20 lessons)
- AI-Driven Spatial Computing Strategy (20 lessons)
TensorFlow Essentials
An introduction to TensorFlow, Google's machine-learning framework, for building and training neural networks and AI models.
Browse 4 courses
- TensorFlow Foundations and Machine Learning (20 lessons)
- Training and Deployment with TensorFlow (20 lessons)
- TensorFlow Model Training and Deployment (19 lessons)
- Model Training, Optimization, Deployment (19 lessons)
The Quick Guide to Prompt Engineering
A concise, practical guide to writing effective prompts for generative AI tools to get better, more reliable results.
Browse 4 courses
- Foundations of Prompt Engineering (37 lessons)
- Comparative Prompting Across Models (36 lessons)
- Generative AI Tools and Prompting (36 lessons)
- Prompt Engineering Capstone and Careers (36 lessons)
Using Amazon Bedrock
A hands-on guide to building generative AI applications with Amazon Bedrock, from foundation models to production deployment.
Browse 4 courses
- Generative AI Foundations and Setup (9 lessons)
- Deploying Generative AI on AWS (9 lessons)
- Generative AI with Amazon Bedrock (8 lessons)
- Generative AI Application Development (8 lessons)
Writing AI Prompts Essentials
Learn to craft effective prompts for generative AI, getting better results from tools like ChatGPT and beyond.
Browse 4 courses
- AI Prompting Foundations (29 lessons)
- Prompting, Ethics, and AI Workflows (28 lessons)
- AI-Powered Marketing and Integration (28 lessons)
- Applying AI in Real Workflows (28 lessons)