Azure AI fundamentals AI 901 instructor recording job

Looking for an instructor to record video teaching Azure AI foundations AI 901. Skills Needed: Title Instructor Skills for AI-901: Azure AI Fundamentals ——————- Key Instructor Skills ————————- * Azure AI Foundry Expertise: Hands-on proficiency in navigating the Azure AI Foundry portal, configuring project workspaces, and deploying generative models. * Python Development & SDK Integration: Strong working knowledge of Python 3, virtual environments, and integrating packages like azure-ai-projects and azure-ai-inference. * Multi-Modal AI Application Design: practical experience building and explaining multi-modal capabilities, including text analysis, speech-to-text/text-to-speech, computer vision, and information extraction. * Prompt Engineering & Agent Workflows: Proficiency in system/user prompt design, few-shot techniques, and configuring single-agent solutions with tool calling. * Responsible AI & AI Ethics Governance: Ability to articulate and teach core Responsible AI principles—such as fairness, safety, security, transparency, and accountability—using real-world scenarios. Content Lessons will be provided: ——————————————- Here is the list of lesson titles from the course outline: * LESSON 1: What Is AI? The Big Picture * LESSON 2: Setting Up Your AI Development Environment * LESSON 3: Responsible AI — Fairness, Reliability, and Safety * LESSON 4: Responsible AI — Privacy, Security, Inclusiveness, Transparency, and Accountability * LESSON 5: How Generative AI Models Work * LESSON 6: Choosing and Configuring AI Models * LESSON 7: AI Workloads — Generative and Agentic AI Scenarios * LESSON 8: AI Workloads — Text, Speech, Vision, and Information Extraction Scenarios * LESSON 9: Text Analysis Techniques * LESSON 10: Speech, Vision, and Information Extraction Capabilities * LESSON 11: Crafting Effective Prompts for Generative AI Models * LESSON 12: Deploying a Model and Interacting with It in the Foundry Portal * LESSON 13: Building a Lightweight Chat Client Using the Foundry SDK * LESSON 14: Creating and Testing a Single-Agent Solution in the Foundry Portal * LESSON 15: Building a Lightweight Client Application for Your Agent * LESSON 16: Building a Text Analysis Application * LESSON 17: Adding Speech Interaction to Your Application * LESSON 18: Working with Computer Vision and Image Generation * LESSON 19: Extracting Information from Documents, Images, Audio, and Video * LESSON 20: Capstone Completion and What's Next