// 95 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
Gen AI Dev- Foundation Model API Integrations
Foundation model (FM) API integrations form the backbone of modern generative AI applications on AWS. When you understand how to implement these integrations effectively, you can build scalable, production-ready applications. These applications can utilize the power of more than 100 serverless FMs supported by Amazon Bedrock and other AWS AI services. In this module, you'll explore the different types of foundation model request patterns, and you'll learn how streaming responses are used to impl
All levels
Analyze Logs: Fix LLM Hallucinations
When a production chatbot starts giving incorrect answers, how do you find the problem and fix it? "Analyze Logs: Fix LLM Hallucinations" is an intermediate course that equips AI practitioners, ML engineers, and data analysts with the essential skills for debugging production LLMs. Go beyond theory and learn the systematic, data-driven workflow that professionals use to solve the critical problem of AI hallucinations. You will utilize the Pandas library to analyze production logs, segment user behavior by intent, and calculate key business metrics, such as 7-day retention, to identify which us
All levels
GenAI for Personalized Marketing at Scale
This course on "GenAI for Personalized Marketing at Scale" will equip you with the skills and knowledge to leverage Generative AI technologies to create tailored marketing experiences for diverse audiences. For instance, you’ll learn how to create and use customized content for different customer segments across various channels — such as personalized social media ads and tailored website experiences. Whether you're new to AI applications in marketing or looking to deepen your expertise, this course offers a learner-centric approach with practical examples and interactive exercises. You’ll gai
All levels
Owning the AI Lifecycle in Azure
Owning the AI Lifecycle in Azure focuses on managing AI system delivery from build through deployment and ongoing operations. AI initiatives introduce new complexities in data architecture, model development, performance evaluation, and production monitoring. This course equips you to coordinate those moving parts within enterprise environments. You’ll examine cloud-native AI architecture decisions, data readiness requirements, and model development workflows using Azure Machine Learning and Microsoft Foundry models. The course explores how AutoML, generative AI, AI agents, and Copilot deploy
All levels
Building AI Solutions with Microsoft Foundry
This course provides a practical, end-to-end introduction to building AI solutions with Microsoft Foundry in enterprise environments. You will start by learning the purpose, architecture, and core capabilities of Microsoft Foundry, including how it supports solution governance, deployment, and lifecycle management. You will also review the foundational concepts and expectations needed to begin working effectively with Foundry and its SDKs. From there, the course dives into key generative AI concepts and how they power modern AI applications built on Microsoft technologies. You will differenti
All levels
Building LLM Applications with Tools and Retrieval
Building an LLM application requires more than a single prompt: it means calling model APIs, controlling output, connecting tools, and grounding answers in your own data. This course shows you how to build LLM applications in Python that use tool calling and retrieval-augmented generation (RAG). Through follow-along demos, you will call multiple LLM providers from one codebase, compose chains in LangChain, index documents with LlamaIndex, and store embeddings in ChromaDB, Pinecone, and Weaviate. By the end of this course, you will be able to: • Integrate LLM provider APIs and estimate toke
All levels
Vector Databases: An Introduction with Chroma DB
Vector databases provide the solid foundation required by large language models to deliver AI-powered similarity searches and recommendation systems for e-commerce recommendations, cybersecurity fraud detection, medical diagnostics, bioinformatics research, and other complex analysis tasks. Begin learning how to take advantage of the efficiencies vector databases offer in this introductory course by IBM. In this introductory microcourse, you'll build your knowledge of vector database fundamentals and explore the importance of vector databases in today’s data management landscape. Then, dive
All levels
Generative AI for NLP with PyTorch Capstone Project
Get ready to put your Generative AI, Natural Language Processing (NLP), and PyTorch skills into action in this hands-on capstone project from IBM. During this course, you’ll solve a real-world text classification challenge by building an end-to-end NLP workflow, from raw text processing to model evaluation. You’ll design and implement complete pipelines, including text preprocessing, tokenization, vocabulary creation, and dataset preparation using PyTorch Dataset and DataLoader. You’ll train and compare RNN, LSTM, and Transformer models, and explore how each architecture processes languag
All levels
Harnessing Open Source LLMs and ChatGPT with Minimal Code
This course offers a comprehensive guide to working with local large language models and ChatGPT, designed for technical professionals who want to explore these powerful tools without diving deep into coding. You’ll begin with the basics, including downloading necessary software, setting up local models, and interacting with them using a no-code approach. By the end of this section, you'll be proficient in managing and running LLMs locally, even if you’re new to the field. As you advance, you’ll delve into more sophisticated techniques, such as streaming responses from local models and levera
All levels
AI Systems Design: RAG Pipelines and LLM Architecture
Design and prototype enterprise-grade AI solutions that create real business value. In this course, you’ll learn to distinguish when to use predictive ML versus generative AI, align AI initiatives with business outcomes, and define success criteria that balance accuracy, latency, safety, and cost. You’ll compare traditional deterministic software with probabilistic AI systems to understand where AI is appropriate—and where it isn’t. You’ll diagram modern AI system architectures and evaluate build-versus-buy decisions for key components such as models, vector databases, and orchestration layer
All levels
Advanced ROS 2: Aerial Robotics, AI & Deployment
Advanced ROS 2 development is a critical skill for building intelligent, autonomous robotic systems in modern industries such as aerospace, manufacturing, and AI-driven automation. This course focuses on integrating ROS 2 with advanced domains like aerial robotics, machine learning, and deployment pipelines to create scalable and efficient robotic solutions. Through hands-on projects and practical workflows, you will learn how to design, program, and deploy robotic systems using ROS 2. From building a DIY mobile robot to implementing CI/CD pipelines and integrating large language models, this
All levels
First Steps in Python with Jupyter Notebooks
In this course, you'll set up a powerful development environment, master essential Python syntax, and learn to leverage GitHub for seamless collaboration. By the module's end, you'll be equipped with the same foundational skills used by industry pros, including cutting-edge GenAI applications. Get ready to transform from a coding novice to a confident data explorer. Upon completion, you'll be able to: • Explain the role of Python in data science and how GitHub integrates into a modern data workflow. • Describe Python’s core syntax, data types, control structures, and functions. • Set up and
All levels
GenAI for Risk Management Essentials
This course is tailored for risk management professionals eager to leverage Generative AI to optimize their strategies and processes. It explores the transformative impact of AI on traditional risk frameworks, offering practical solutions for risk assessment, monitoring, and mitigation. Participants will develop AI-driven strategies specific to their organizational needs while ensuring responsible AI implementation through comprehensive governance and ethical guidelines. No advanced AI expertise is required—just an openness to integrating advanced technology into your risk management approach.
All levels
GenAI for Sales Ops: Automating Workflow Efficiency
This course is your practical, no-fluff guide to automating sales workflows with Zapier, Zapier Agents, and HubSpot CRM. You’ll start by mastering GenAI fundamentals, then dive into real-world automation strategies for data entry, contact management, and AI-powered lead enrichment. By the time we’re done, you’ll have built working automation systems that cut manual tasks by 50% and ensure 90% follow-up consistency. This course is designed for sales professionals, operations managers, small business owners, and business analysts who want to enhance their sales operations with AI-driven automa
All levels
Model Evaluation and Benchmarking
The Model Evaluation and Benchmarking course is designed for developers, engineers, and technical product builders who are new to Generative AI but already have intermediate machine learning knowledge, basic Python proficiency, and familiarity with development environments such as VS Code, and who want to engineer, customize, and deploy open generative AI solutions while avoiding vendor lock-in. The course equips learners with the skills to assess and compare the performance of both text and image generative models. Starting with text evaluation, learners apply standard metrics such as perple
All levels
Understanding and Evaluating AI for Mental Health
This course is designed for students and professionals in psychology, medicine, and other clinical disciplines who want to build a practical understanding of AI and the skills to evaluate it critically. You will explore the core concepts behind modern AI systems, including Machine Learning, Natural Language Processing, and Large Language Models, learning how these technologies work on a conceptual level and why they are increasingly relevant to mental health. You will also learn how to assess whether AI systems are trustworthy, with a focus on validity, reliability, and bias — and what it m
All levels
GenAI for Cybersecurity Analysts
This course explores how Generative Artificial Intelligence (GenAI) is revolutionizing cybersecurity. Through a blend of discussions, video demos, and guided hands-on activities, you will learn how to leverage GenAI tools to enhance your productivity in threat detection, risk mitigation, security testing, and more. We will also address the ethical concerns and best practices for responsible implementation of GenAI in cybersecurity. This course is designed for team leads and managers who guide cybersecurity teams, individual cybersecurity analysts aiming to enhance their workflows and producti
All levels
Innovative Teaching with ChatGPT
Despite what you may have heard, ChatGPT offers exciting possibilities for supporting innovative teaching and personalized education. This course provides practical techniques that any educator, from K-12 to higher education, can use to help support their teaching. No experience with ChatGPT, prompt engineering, or Generative AI is required. In this course, you will learn how to do exciting things to support your teaching and student learning, such as: 1. How to brainstorm lesson plans that integrate learner interests and needs, such as generating a lesson plan to teach fourth graders about
All levels
Creativity Methods in Innovation
Creativity is a skill that can be developed and is one of the most important skills in business positions. In this course, learners discover proven creativity methods used to generate and develop innovative ideas. By combining structured ideation techniques with Generative AI, participants learn how to produce a wide range of creative solutions to real-world challenges. Hands-on assignments provide opportunities to practice each technique and build confidence in applying them. The course is accessible to beginners and suitable for anyone interested in creativity and innovation.
All levels
Advanced Model Architectures & Language AI
Take your data analysis skills to the next level by building, evaluating, and deploying the advanced models that power real-world AI systems. In this course, you'll work with decision trees, ensemble methods, neural networks, large language models, and conversational AI — integrating techniques that data professionals use to solve complex, production-grade problems. You'll move from training and pruning tree-based models to quantifying ensemble lift, from diagnosing overfitting in neural networks to fine-tuning LLMs on domain-specific data. You'll also build a retrieval-augmented chatbot and
All levels
Applying GenAI Tools for Process Automation
This course will teach you essential skills for implementing AI-powered automation that transforms business processes and drives measurable results. You will learn about identifying high-impact automation opportunities, designing multi-step AI workflows, and integrating intelligent systems that scale with your organization's needs. You’ll dive into hands-on strategies for building reliable, AI-enabled workflows that respond to real business needs. You’ll also learn how to automate tasks like document processing and team communication using chain prompting and smart integrations—without needi
All levels
Data Visualization with OpenAI API: Generate code with GenAI
In this 2-hour long project-based course, you will learn the basics of communicating with the OpenAI API through prompts specifically designed for Python code generation aimed at data visualization and analysis. This course is tailored to address a unique real-world scenario where you have been hired by an online toy store company called Toy Trendz to help them analyze their product sales data. They have provided you with a sales dataset related to the year 2018 and have presented analytical questions that require effective visualizations. The challenge in this project lies in Toy Trendz's de
All levels