Kurse
485 Kurse
Develop Agents with Agent Development Kit (ADK)
Explore how gen AI agents transform organizations and learn human-centered AI strategies for balancing automation with human intuition.
AI for Data Analysts
Use AI across every stage of your data analysis. Write sharper prompts, audit data quality, find insights worth chasing, and ship work you can trust.
Data Science with Python
Master essential Python libraries—NumPy, Pandas, Matplotlib, Plotly, and PyTorch—to manipulate data, create visualizations, process images, and build machine learning models for real-world data science projects.
AWS Core+ Business focus for Team Managers
Gain insights into AWS cloud fundamentals, migration, analytics, AI, and cost optimization tailored for managers to align cloud strategies with business goals and collaborate effectively with technical teams.
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.
Mastering HR Competencies: Case Studies and Leadership
Explore HR competencies, SHRM exam strategies, real-world case studies, and leadership skills to advance your HR career and prepare for future challenges in the evolving HR landscape.
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.
Creating the base Word Play Game Data with Codex
Explore how to build a daily dataset for an LLM prediction game, covering prompt generation, daily selection, OpenAI integration, and tokenizing responses to power game logic.
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.
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.
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.
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.