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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.
AWS Machine Learning Specialty Certification Guide
Master AWS Machine Learning Specialty (MLS-C01) exam prep by exploring SageMaker, data preparation, ML algorithms, and AI/ML services, with mock exams and hands-on AWS experience.
Smarter Processes – ChatGPT for Lean Six Sigma
Explore how ChatGPT enhances Lean Six Sigma by integrating AI into Measure and Analyze phases, performing regression analysis, control charts, and VOC analysis to drive data-driven process improvements.
Generative AI & Prompt Engineering for Design & Content
Master generative AI and prompt engineering to transform content creation, design visuals, automate workflows, and scale multimedia campaigns using Canva, Adobe Firefly, and Runway ML.
Google DeepMind: Discover The Transformer Architecture
In this Google DeepMind course you will discover the mechanisms of the transformer architecture.
Google DeepMind: Accelerate Your Model
Train more powerful models with a single GPU, learn how hardware can speed up model training and the key considerations when training models on a GPU.
Build a Certification Study Guide: PCDOE Exam Prep
Master NotebookLM to build a personalized PCDOE certification study guide, using source materials and effective prompts to ace the Professional Cloud DevOps Engineer exam.
Applied Machine Learning Systems with FastAPI for Developers
Master building production-ready ML systems using Python, scikit-learn, FastAPI, and Docker—covering pipelines, feature engineering, model evaluation, testing, and containerized REST API deployment.
Launching Your Vector Database Career
Unlock strategies to translate vector database and RAG skills into career opportunities, craft compelling resumes, and ace ML engineering interviews at the skilled professional level.
RAG From Zero
Explore building production Retrieval-Augmented Generation pipelines in Rust, covering encode-chunk-index-fuse-retrieve stages, semantic code search, MinHash clone detection, and multi-crate workspace indexing.