Kurse
398 Kurse
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.
AI for Marketing Professionals
Master Generative AI for marketing by building strategic workflows, crafting high-converting copy, analyzing audience data, and optimizing campaigns while ensuring brand safety and compliance.
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.
Getting Started with Claude Agent SDK in TypeScript
Master the Claude Agent SDK in TypeScript—from installation to advanced configuration, launching agents, handling responses, and leveraging built-in tools for powerful AI-driven applications.
Python Coding With AI
Use AI coding assistants to write, review, and debug Python code faster. Pick from Claude Code, Cursor, or Gemini CLI and start coding.
Claude Code: A Highly Agentic Coding Assistant
Explore, build, and refine codebases with Claude Code.
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.
Scenario and Root Cause Analysis with Generative AI
Explore how to apply generative AI for scenario planning, root cause analysis, and risk assessment to develop data-driven strategies and enhance decision-making.
Practical AI Strategy and Azure Service Selection
Develop judgment for AI strategy decisions using Azure services, including Microsoft Foundry and Azure OpenAI, to assess opportunities, define requirements, and guide enterprise AI initiatives effectively.
Leading Cross-Functional AI Delivery
Master cross-functional AI project delivery using agile frameworks, Azure DevOps, and generative AI tools to coordinate teams, manage risks, and drive initiatives from concept to completion.
Mathematical Foundations of AI
Master the mathematical foundations of AI, covering linear algebra, calculus, and optimization theory—including SVD, KKT conditions, and iterative algorithms essential for machine learning.