Coursera
2976 Cursussen
Deep Reinforcement Learning: From Theory to Practice
Master deep reinforcement learning from function approximation to modern algorithms like PPO, DDPG, and SAC, implementing stable agents for high-dimensional environments including games and robotics.
Coursera
Paid Course
6 weeks, 2 hours a week
Self-Paced
Coursera
Stakeholder Communication & Governance
Master stakeholder communication for tax analysts—draft clear status updates, assemble audit-ready packages, manage confidentiality with AI tools, and build governance habits that distinguish reliable professionals.
Coursera
Paid Course
Not Specified
Self-Paced
Mastering Classic Reinforcement Learning Algorithms
Explore the mathematical foundations of reinforcement learning, covering Markov decision processes, dynamic programming, Q-learning, and SARSA to solve finite decision-making problems using tabular methods.
Coursera
Paid Course
5 weeks, 3 hours a week
Self-Paced
Applied AI: Data Analysis, Workflows, and Decisions
Master practical AI skills for data analysis, workflow automation, and decision-making using systems thinking and hands-on projects from the University of Michigan.
Coursera
Paid Course
Not Specified
Self-Paced
Coursera
No-Code Websites: Learn with Projects
Explore no-code website creation using WordPress and Wix through seven hands-on projects, building blogs, landing pages, and SEO-optimized sites—no coding or software purchase required.
Coursera
Paid Course
Not Specified
Self-Paced
Coursera
Azure OpenAI Essentials
Master Azure OpenAI to build scalable AI solutions, deploy generative models, and create enterprise-grade applications with hands-on projects in analytics, code generation, and multimodal frameworks.
Coursera
Paid Course
13 weeks, 1 hour a week
Self-Paced
Coursera
Context Engineering for Multi-Agent Systems
Master context engineering for multi-agent AI systems, replacing fragile prompts with structured, scalable architectures using RAG, MCP, and Context Engines for reliable, production-ready solutions.
Coursera
Paid Course
10 weeks, 1 hour a week
Self-Paced
Coursera
Advanced Techniques and Applications in Prompt Engineering
Master advanced prompt engineering techniques for AI models like GPT, DALL-E, and BERT, covering A/B testing, multilingual design, bias reduction, and ethical considerations for real-world applications.
Coursera
Paid Course
12 weeks, 1 hour a week
Self-Paced
Coursera
Claude Skills: Automating Business Workflows
Master structural prompt engineering with Claude Skills to automate business workflows, eliminate hallucinations, and build reusable corporate tools that transform raw data into executive-ready assets.
Coursera
Paid Course
6 weeks, 1 hour a week
Self-Paced
Coursera
Foundations of Prompt Engineering for Generative AI
Master prompt engineering for generative AI—learn to craft effective prompts, optimize AI outputs, and apply skills across industries like healthcare, education, and business, with no coding experience required.
Coursera
Paid Course
7 weeks, 1 hour a week
Self-Paced
Coursera
Prompt Engineering: Tools, Models, and Future Directions
Explore prompt engineering across AI platforms like RunwayML, Midjourney, and Google Bard, mastering techniques for image, audio, video, and text generation to unlock career opportunities in AI innovation.
Coursera
Paid Course
11 weeks, 1 hour a week
Self-Paced
Coursera
Mastering AWS Managed AI Services & Responsible AI
Explore AWS Managed AI Services and Responsible AI principles, covering fairness, transparency, NLP, computer vision, and conversational AI to build trustworthy, scalable solutions.
Coursera
Paid Course
2 weeks, 3 hours a week
Self-Paced