Learn core principles, techniques, and industry best practices for designing effective prompts. Covers zero-shot, few-shot prompting, persona specification, and guardrails for AWS Bedrock models.
An introductory-level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. Introduces Google Tools for GenAI apps.
Explore the concepts and algorithms at the foundation of modern artificial intelligence. Dive into graph search algorithms, classification, optimization, reinforcement learning, and neural network principles in Python.
Covers the foundational concepts of generative AI, how models create content, model architectures, future predictions, ethical considerations, and practical industry implementations.
Understand why responsible AI is critical for modern development, Google's 7 AI principles, and how to implement governance, transparency, bias mitigation, and safety in real-world applications.
Master popular machine learning algorithms, principal component analysis (PCA), cross-validation, and regularization techniques to build predictive data models with high accuracy.
Created in partnership with Harrison Chase (creator of LangChain). Learn prompt templates, chains, memory buffers, document loaders, vector stores, and agentic workflows to build production LLM chatbots.
Examines how LLMs form the core foundation of generative AI and how Azure OpenAI Service provides enterprise-grade access to cutting-edge models (GPT-4o, DALL-E) with high security.
Taught by pioneer Andrew Ng. Understand what generative AI is, how it works, realistic business use cases, limitations, and how to formulate an AI strategy for your workplace or career.
Comprehensive technical deep-dive into LLM lifecycle: pre-training, fine-tuning (PEFT/LoRA), RLHF (Reinforcement Learning from Human Feedback), and deploying performant generative models.
A structured 5-badge pathway providing an end-to-end foundation: GenAI concepts, LLM architectures, attention mechanisms, responsible AI, and hands-on Google Cloud Vertex AI walkthroughs.
Teaches what large language models are, the problem spaces they excel at, and how prompt tuning and parameter-efficient techniques can drastically enhance performance on custom tasks.
Executive playbook on leveraging GenAI as an intelligent thought partner. Covers organizational roadmaps, strategic decision-making, competitive analysis, and managing workforce transformation.
Supercharge your spreadsheet workflows by pairing ChatGPT with Microsoft Excel. Craft specialized prompts to generate complex formulas, automate data analysis, and debug VBA macros.
Structured overview of advanced prompt engineering techniques: Chain-of-Thought (CoT), few-shot formatting, role personas, output format constraints, and prompt evaluation.
Put AI training into practice with hands-on Google Cloud labs. Learn model deployment and GenAI APIs with access to Google Cloud onboarding resources and API sandboxes.
Introduces diffusion models, mathematics inspired by thermodynamics, and how text-to-image models synthesize photorealistic imagery. Learn effective image prompt crafting techniques.
Acclaimed 18-lesson curriculum created by Microsoft Cloud Advocates. Covers fundamentals, prompt engineering, RAG (Retrieval-Augmented Generation), vector databases, and building full-stack GenAI apps.
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