Coursera
2868 Kurse
Responsible AI for Everyone
Explore the foundations of Responsible AI, covering fairness, bias, transparency, accountability, and risk management to design and govern trustworthy AI systems in real-world applications.
Getting It Done with AI: AI Essentials
Master practical AI skills for professionals—craft effective prompts, interact with ChatGPT, manage hallucinations, and boost productivity without any programming background.
Generative AI in Action: Workplace Transformation
Explore how generative AI transforms business operations through hands-on projects, culminating in an AI-Driven Business Optimization Proposal covering data analysis, collaboration, resource planning, and risk mitigation.
Responsible AI in Practice: Fairness, Bias & Explainability
Explore fairness metrics, bias mitigation, and explainability techniques like LIME and SHAP to build transparent, privacy-aware, and trustworthy AI systems.
Design Thinking for Digital Agriculture
Explore how design thinking and human-centered design can transform digital agriculture, from empathizing with farmers to prototyping, scaling, and ethically communicating innovative agtech solutions.
People Analytics with AI: Data-Driven HR Strategies
Master people analytics and AI techniques to solve HR challenges, build workforce dashboards, and translate data-driven insights into strategic recommendations for talent management and workforce planning.
Deep Learning: Train Neural Networks and Deploy with Docker
Master the full deep learning pipeline—design and train neural networks with PyTorch and TensorFlow, track experiments, serve models via FastAPI, and deploy scalable apps using Docker.
Microsoft Advanced Analytics Techniques with Generative AI
Master advanced analytics by combining R, Power BI, Excel, and Azure with generative AI to build predictive models, automate workflows, and deliver strategic insights across five hands-on courses.
Microsoft Excel & Copilot: From Basics to AI
Master Excel and Microsoft Copilot through three practical courses, automating tasks, visualizing trends, and extracting AI-driven insights to meet industry demands in tech, finance, and marketing.
Managing AI Projects with Microsoft
Master AI project management with Microsoft Azure, translating business goals into structured delivery plans, managing stakeholders, risks, and governance across the full AI lifecycle.
Running AI as an Enterprise Capability
Explore how to sustain AI initiatives in enterprises through governance, risk oversight, compliance, and value measurement to balance innovation with accountability.
Introduction to Secure Networking
Explore foundational networking concepts, TCP/IP, OSI models, network security, and cloud computing to build IT support skills and prepare for the Microsoft MS-900 exam.