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Programmers Guide

Programmers Guide

By: GM
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Summary

Expertly curated. Scripted for clarity. AI-delivered. Programmer’s Guide is a podcast for developers and tech professionals who never stop learning. From software best practices to cloud, AI, and system design, each episode delivers clear, structured insights you can apply immediately. Featuring Exam Refreshers for last-minute revision and Domain Mastery for deep understanding, this show helps you stay sharp, relevant, and confident. Your roadmap to better code starts here. 🚀GM
Episodes
  • [Exam Refreshers] AI-102 Last-Minute Guide: Designing and Implementing a Microsoft Azure AI Solution (Final Day Cram Session)
    Apr 17 2026

    You’re on your way to the exam center. This is not the time to learn—it’s time to lock in what matters.

    This episode is your final 20–30 minute refresher for the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification—a certification that is being retired but remains highly valuable for understanding Azure AI.

    In this quick sprint, we cover:

    • Core Azure AI services across vision, NLP, speech, and knowledge mining
    • Generative AI concepts including Azure OpenAI, prompt flows, and RAG
    • Agentic solutions and orchestration patterns
    • Search, document intelligence, and content extraction workflows
    • Responsible AI principles and governance considerations

    We also call out:

    • Common exam traps (service confusion, RAG vs fine-tuning, NLP vs speech)
    • Key decision points across Azure AI services
    • Practical mental models for scenario-based questions

    No deep dives. No fluff. Just clarity, recall, and confidence when it matters most.

    Part of the Exam Refreshers series from Programmer’s Guide — your last-minute prep for certification success.

    🎧 Best listened to right before your exam—headphones on, distractions off.

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    54 mins
  • [Domain Mastery] AI-102 Guide: Domain #2 ~ Implement Generative AI Solutions
    Apr 16 2026

    This is where AI solutions move from traditional models to intelligent, conversational, and content-generating systems.

    In this episode of Programmer’s Guide – Domain Mastery, we take a deep dive into Domain 2: Implement Generative AI Solutions from the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification.

    This domain focuses on building modern AI applications using large language models, prompt orchestration, and retrieval-based architectures on Azure.

    In this deep dive, we cover:

    • Core concepts of generative AI, including large language models (LLMs) and Azure OpenAI Service
    • Prompt engineering techniques and how to control model behavior effectively
    • Designing Retrieval-Augmented Generation (RAG) solutions using Azure AI Search and external data sources
    • Orchestrating generative workflows using prompt flows and chaining techniques
    • Managing model deployment, scaling, and performance in production environments
    • Implementing responsible AI practices including content filtering, safety, and compliance

    We also break down:

    • How generative AI scenarios appear in exam questions
    • Common confusion between RAG, fine-tuning, and direct prompting approaches
    • Practical strategies for designing scalable and reliable GenAI solutions

    This episode is designed to help you build, integrate, and reason about generative AI systems with confidence.

    Don’t forget to subscribe to Programmer’s Guide for more Exam Refreshers and Domain Mastery episodes.

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    35 mins
  • [Domain Mastery] AI-102 Guide: Domain #1 ~ Plan and Manage an Azure AI Solution
    Apr 16 2026

    This is where every successful AI solution begins—with clear planning, the right service selection, and strong governance.

    In this episode of Programmer’s Guide – Domain Mastery, we take a deep dive into Domain #1: Plan and Manage an Azure AI Solution from the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification.

    This domain focuses on making the right architectural and strategic decisions before any code is written—ensuring your AI solutions are scalable, responsible, and aligned with business goals.

    In this deep dive, we cover:

    • How to select the right Azure AI services across vision, language, speech, and generative AI
    • Designing end-to-end AI solutions with scalability, performance, and cost in mind
    • Responsible AI principles including fairness, reliability, privacy, and governance
    • Managing resources, deployment options, and service configurations in Azure
    • Monitoring, logging, and lifecycle management of AI solutions in production
    • Aligning AI capabilities with real-world business scenarios and requirements

    We also break down:

    • How planning and management scenarios appear in exam questions
    • Common confusion between Azure AI services and when to use each
    • Practical decision-making frameworks for choosing the right solution

    This episode is designed to help you think like an AI solution architect—making the right decisions before implementation begins.

    Don’t forget to subscribe to Programmer’s Guide for more Exam Refreshers and Domain Mastery episodes.

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    1 hr and 1 min
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