This course demystifies Mosaic, an innovative Databricks platform, and equips you with practical skills to design and implement AI workflows that address real-world challenges. Whether you’re a data scientist enhancing your toolkit, a data engineer seeking optimized pipelines, or a business leader exploring AI’s transformative power, this course delivers actionable insights … [Read more...] about Databricks Mosaic AI
Data Science
AI Agents: From Prompts to Multi-Agent Systems
Unlock the transformative power of AI agents to boost your productivity and job satisfaction. Join Dr. Martin Hilbert in this comprehensive course that covers generative AI basics and the creation of multi-agent systems. Designed for professionals, students, and AI enthusiasts, this course blends theoretical insights with practical skills. Learn to customize AI prompts, build … [Read more...] about AI Agents: From Prompts to Multi-Agent Systems
GenAI for People and Talent Management
This course equips HR professionals and leaders to harness Generative AI (GenAI) for impactful talent management. Learn how GenAI enhances performance management through continuous feedback, creates personalized development plans, and supports AI-driven Learning and Development. With practical applications, this course also covers strategic workforce planning, talent analytics, … [Read more...] about GenAI for People and Talent Management
Python Debugging Capstone Project: Fixing and Extending Code
In “Python Debugging Capstone Project: Fixing and Extending Code,” you will undertake a comprehensive coding project that demonstrates your ability to use NumPy, pandas, and SciPy for advanced data manipulation and scientific computing. You will use the skills and best practices learned throughout the series to debug and analyze real-world data. This project will involve … [Read more...] about Python Debugging Capstone Project: Fixing and Extending Code
Statistics with Python Using NumPy, Pandas, and SciPy
“Statistics with Python Using NumPy, Pandas, and SciPy” explores how to apply statistical and mathematical techniques to data science problems. Throughout the first half of the course, you’ll work on reviewing vector dot products, interpreting text as vectors, and matrix multiplication. You’ll also explore the basics of probability, laying the groundwork for statistical … [Read more...] about Statistics with Python Using NumPy, Pandas, and SciPy
