Advanced Prompt Engineering & LLM Workflows

Duration 8 hours
Level Architect
Focus Areas
Vendor
Learning Track

Enterprise Platforms & AI Architecture

Part of the Enterprise Platforms & AI Architecture track, built for IT leaders, architects, and technical teams standing up Microsoft platforms, data models, and AI governance across the business.

View the full Enterprise Platforms & AI Architecture track →

Overview & Learning Objectives

Built for developers and technical leads pushing LLMs into production, prompt chaining, structured JSON/CSV outputs, and controls across OpenAI, Claude, and DeepSeek.

By the end of this training, participants will be able to:

  • Design multi-step prompt pipelines and complex reasoning chains.
  • Enforce deterministic JSON, CSV, and code-block outputs for system integration.
  • Apply advanced prompt debugging and hallucination mitigation techniques.
  • Implement security guardrails and data privacy boundaries.

Target Audience

  • AI engineers, software developers, technical leads, and automation architects
  • Professionals building LLM-powered applications and workflows

Prerequisites

  • Intermediate prompt writing experience
  • Basic understanding of API integration or developer workflows

Technical Requirements

  • Access to leading LLMs (OpenAI ChatGPT, Anthropic Claude, or DeepSeek API / Web UI).

Format & Customization Options

Format of the Course

  • Interactive lecture and live hands-on practice.
  • Real-world participant task application and scenario exercises.

Course Customization Options

  • Custom technical modules and workflow integration available upon request.

Advanced Prompt Engineering & LLM Workflows - Inquiry

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