Today's Mix

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master server primitives and build your first MCP server with FastMCP.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Sets the stage for Exam AI-900 by clarifying the certification scope, scoring, update cadence, and the Responsible AI lens that Microsoft expects candidates to apply across every workload.

Focuses on the practical aspects of creating multi-service resources, securing keys and endpoints, applying RBAC, and managing spend so students can discuss platform considerations confidently.

Covers the machine learning fundamentals expected on AI-900 and pairs them with the Azure Machine Learning platform features candidates must recognize.

Dives into Azure AI Vision offerings so learners can compare workloads (image classification, detection, facial analysis, OCR) and pick the right API for the scenario.

Unifies the Azure AI Language feature set, from Text Analytics to Question Answering and Conversational Language Understanding (CLU).

Extends the language track to cover speech-to-text, text-to-speech, speech translation, and the standalone Azure Translator service.

Shows how Azure Document Intelligence pairs with Cognitive Search and Semantic Search to unlock document processing and knowledge mining workloads.

Aligns to the largest section of the updated exam by spotlighting Azure AI Foundry, Azure OpenAI Service, the model catalog, deployment types, prompt engineering with Prompt Flow, and safety/content filtering.

Brings every workload together in production-oriented discussions about REST APIs, SDK usage, automation, and enterprise security.

Closes the course with a concrete study plan, outlines for practice assessments, renewal expectations, accommodation workflows, and community resources.

Deep dive into advanced MCP patterns.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Master this concept to level up your AI integration skills.

Situates prompt engineering within the Claude workflow, clarifying prerequisites, when to use it versus other levers, and the key techniques covered in the series.

Explains how to separate fixed and variable content in Claude prompts, use double-brace placeholders, and manage templates for consistency, testing, and scale.

Shows how to make prompts explicit and contextual so Claude behaves like a new teammate with concrete instructions, including side-by-side examples of vague vs. specific prompts.

Teaches how to steer Claude with few-shot examples, emphasizing relevance, diversity, and structure to improve accuracy and consistency.

Covers chain-of-thought prompting to improve complex reasoning by giving Claude structured space to think, with basic, guided, and structured patterns plus before/after examples.

Shows how to segment instructions, context, and examples with XML tags to boost clarity, accuracy, and post-processing, with before/after examples.

Covers role prompting via the system parameter to shape expertise, tone, and focus, with side-by-side examples showing impact on legal and financial analysis.

Covers using assistant-prefill to steer Claude's output, skip preambles, enforce formats, and maintain character, with warnings about whitespace and mode limitations.

Breaks complex tasks into chained prompts for accuracy, clarity, and debuggability, with examples for self-correction, legal review, and strategy analysis.

Guides using Claude's extended context effectively: ordering long inputs, structuring documents with XML, and grounding answers in quotes for accuracy.

Advanced strategies for extended thinking mode: budgets, batching, prompting patterns, and examples that benefit from longer reasoning.