Intermediate AI courses for data and analytics professionals
You use an AI assistant most days and want to apply it to the real tasks of your own role. 2 courses are written for data and analytics professionals at this level.
Written for data and analytics professionals
Microsoft
Advanced Data Analysis with Generative AI
A Coursera course on predictive modeling, forecasting and anomaly detection with generative AI. Check cost on Coursera. The level is ours.
IBM
Generative AI: Enhance your Data Analytics Career
An IBM course on using generative AI across data preparation, analysis, visualization and storytelling. Check cost on Coursera. The level is ours.
General intermediate AI courses
These fit any role.
Anthropic
AI Fluency: Framework & Foundations
IntermediateFreeAny roleA framework for working with AI assistants effectively, ethically and safely, built around responsible AI practice you can apply in any role.
NVIDIA
An Even Easier Introduction to CUDA
IntermediateFreeAny roleA free, step-by-step introduction to CUDA C++ for GPUs, built around one parallel programming example.
Microsoft
Automate Tasks and Workflows in Microsoft Copilot Studio
IntermediateFreeAny roleAutomate tasks across systems, websites and applications with agent flows and computer use in Microsoft Copilot Studio.
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
IntermediateFreeAny rolePrompt engineering patterns, then using LLM APIs to summarise, classify, transform and expand text inside your own applications.
Anthropic
Claude Code in Action
IntermediateFreeAny roleAnthropic’s free course on running longer Claude Code sessions you can trust: steer the assistant, configure it, automate repeat work and verify what it wrote.
DeepLearning.AI
How Diffusion Models Work
IntermediateFreeAny roleBuild a diffusion model from the ground up, the technique behind AI image generation, and learn how today’s versions speed up sampling.
NIST
NIST AI Risk Management Framework (AI RMF)
IntermediateFreeAny roleThe free, public framework most AI policies cite: Govern, Map, Measure, Manage. Read it to write or review an AI use policy or a use-case risk review.
Wharton
AI for Business Specialization
IntermediateCheck costAny roleA specialization on applying AI to real business decisions and strategy.
Duke
AI Product Management Specialization
IntermediateCheck costAny roleA specialization on building and managing AI-powered products.
AWS
Generative AI for Executives
IntermediateCheck costAny roleA course framing generative AI in terms of business impact and decision-making.
IBM
Generative AI for HR Professionals
IntermediateCheck costAny roleA course on applying generative AI to HR workflows.
IBM
Generative AI Fundamentals Professional Certificate
IntermediateCheck costAny roleA professional certificate covering practical generative AI fundamentals.
Vanderbilt
Prompt Engineering for ChatGPT
IntermediateCheck costAny roleA practical course on getting better, more reliable results from AI chat tools.
Levels and functions are NextChapter's guidance, read from each course's own description; the provider may label them differently or not at all. Cost, dates and content are set by the provider, so check its page before you enroll. Providers marked "Partner" have a relationship with NextChapter; the others are included because the course is good.
Other levels for data and analytics professionals: Beginner, Advanced · All levels
Find your AI level
Four questions about what you already do. It takes under a minute and shows the courses that fit.
1. Do you use an AI assistant (ChatGPT, Gemini, Claude, Copilot) at least weekly for real work?
2. Do you write your own detailed prompts and rework them when the answer is off?
3. Have you built a repeatable AI workflow, such as a saved prompt library, an automation or an AI agent?
4. Have you set AI rules, evaluated AI output for a team, or led an AI project?
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