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 AI and GenAI Tools (51 lessons)
- Applied Generative AI Tools and Workflows (50 lessons)
- AI-Enhanced User Experience Design (50 lessons)
- Capstone: Implementing GenAI Solutions (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 Concepts and Systems (22 lessons)
- Applied AI Systems and Ethics (21 lessons)
- Advanced AI Systems and Applications (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
- Foundations of AI Agents (10 lessons)
- Society, Ethics, and Agentic AI (10 lessons)
- Societal and Strategic Impacts (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
- Foundations of AI on AWS (14 lessons)
- Modeling, MLOps, and Responsible AI (14 lessons)
- ML Services, Inference, and Safety (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)
- Causal Model Design & Collaboration (17 lessons)
- Causal AI Implementation and Governance (17 lessons)
- Causal AI Futures and Integration (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 ChatGPT Use (28 lessons)
- Applied Prompting and Multimodal AI (28 lessons)
- Advanced ChatGPT Prompting Applications (27 lessons)
- Applied ChatGPT in Practice (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 Architectures and Tools (21 lessons)
- Deep Learning Model Engineering (21 lessons)
- Applied Deep Learning Solutions (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 Adoption (25 lessons)
- Deploying and Operationalizing AI (24 lessons)
- Enterprise AI MLOps and Monitoring (24 lessons)
- Enterprise AI Monitoring and Optimization (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 Generative AI (21 lessons)
- Foundations and AWS GenAI Tools (21 lessons)
- Customizing and Integrating FMs on AWS (20 lessons)
- Deploying Generative AI and RAG 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 and Prompting (24 lessons)
- Practical Generative AI Content Creation (23 lessons)
- Applied Generative Content Creation (23 lessons)
- Advanced Creative Applications with GenAI (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
- Customizing and Optimizing LLMs (8 lessons)
- Efficient Model Inference and Tuning (8 lessons)
- Small and Domain-Specific Models (7 lessons)
- Optimizing and Operationalizing LLMs (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 Applied Machine Learning (24 lessons)
- Core Machine Learning Practices (24 lessons)
- Model Selection and Advanced Methods (24 lessons)
- Applied Model Development 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 and Inference Engineering (9 lessons)
- Model Prototyping and Deployment (9 lessons)
- Production, Monitoring, and Next Steps (9 lessons)
neuroAI
Explores the intersection of neuroscience and artificial intelligence, and how brain-inspired approaches advance machine intelligence.
Browse 4 courses
- NeuroAI Foundations for Marketing (40 lessons)
- Neuro‑Sensory Branding and Virality (39 lessons)
- Neuro-Sensory Brand Design (39 lessons)
- Neuro-AI Brand and Packaging Design (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
- Foundations of AI and Cybersecurity (3 lessons)
- Adversarial AI and Threat Modeling (3 lessons)
- Applied AI Security Synthesis (2 lessons)
- AI Security Synthesis and Capstone (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 Security for Azure OpenAI (9 lessons)
- Azure OpenAI Security Controls (9 lessons)
- Secure Azure LLM Application Architecture (8 lessons)
- Securing LLMs in Azure Cloud (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 Spatial Computing (21 lessons)
- Business Applications of Spatial Computing (20 lessons)
- Designing AI-Driven Spatial Experiences (20 lessons)
- AI-Driven Spatial Strategy Integration (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
- Foundations of TensorFlow and ML (20 lessons)
- TensorFlow Training and Operations (20 lessons)
- Building and Training Neural Models (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)
- Generative AI Models and Prompts (36 lessons)
- Generative AI Tools and Prompting (36 lessons)
- Advanced Generative Models 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 with Bedrock (9 lessons)
- Bedrock Setup and Integration (9 lessons)
- Bedrock Generative Model Workflows (8 lessons)
- Deploying Secure Generative AI Apps (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
- Foundations of AI Prompting (29 lessons)
- Applied Prompting and AI Integration (28 lessons)
- AI for Marketing and Automation (28 lessons)
- AI Implementation and Optimization (28 lessons)