MCA: Microsoft Azure AI Fundamentals
The Microsoft Azure AI Fundamentals (AI-901) course is a 2-day instructor-led training program designed to provide a comprehensive introduction to Artificial Intelligence (AI), Generative AI, and Microsoft Azure AI technologies. The course prepares participants for the Microsoft Certified: Azure AI Fundamentals (AI-901) certification and introduces the skills needed to understand, evaluate, and implement AI solutions using Microsoft Azure and Azure AI Foundry.
Participants explore core AI concepts, including machine learning, generative AI, foundation models, large language models (LLMs), responsible AI, and common AI workloads. Learners gain practical experience with Azure AI Foundry, where they discover how to create AI projects, explore models in the Model Catalog, deploy and test AI solutions, and use AI Foundry Playgrounds to experiment with prompts and model behavior.
Throughout the course, students learn how modern AI solutions are built using Azure AI services, including language, vision, content safety, and generative AI capabilities. Participants are introduced to prompt engineering techniques, AI agents, Retrieval-Augmented Generation (RAG), and best practices for developing responsible and trustworthy AI applications.
Hands-on demonstrations and guided exercises reinforce key concepts and provide practical exposure to Azure AI technologies. By the end of the course, learners will understand how to identify appropriate AI solutions for business scenarios, apply responsible AI principles, and leverage Azure AI Foundry to build and evaluate AI-powered applications.
This course is intended for both technical and non-technical audiences. No prior experience with artificial intelligence, machine learning, or data science is required, although familiarity with basic cloud computing concepts is beneficial.
Upon completion, participants will be prepared to:
- Describe AI workloads, machine learning, and generative AI concepts.
- Explain responsible AI principles and ethical considerations.
- Use Azure AI Foundry projects, model deployments, and Playgrounds.
- Apply prompt engineering techniques to improve AI outcomes.
- Understand AI agents, language solutions, vision solutions, and content safety capabilities.
- Describe Retrieval-Augmented Generation (RAG) and modern generative AI architectures.
- Prepare for and successfully attempt the Microsoft Certified: Azure AI Fundamentals (AI-901) certification exam.
This course aligns with Microsoft's current AI-901 skills measured and certification objectives, emphasizing both AI concepts and responsibilities (40–45%) and implementing AI solutions using Microsoft Foundry (55–60%).
About this Course
This course prepares learners for the Microsoft Certified: Azure AI Fundamentals (AI-901) certification.
Upon completion, participants will be able to:
Identify AI Concepts and Responsibilities (40–45%)
- Describe AI workloads
- Explain generative AI concepts
- Understand machine learning fundamentals
- Describe responsible AI principles
- Identify ethical considerations in AI solutions
-
Implement AI Solutions Using Microsoft Foundry (55–60%)
- Create and manage Azure AI Foundry projects
- Explore models in the Model Catalog
- Deploy and test AI models
- Use Azure AI Foundry Playgrounds
- Apply prompt engineering techniques
- Build AI agents and workflows
- Use Content Safety features
- Implement language and vision AI solutions
- Understand Retrieval-Augmented Generation (RAG)
- Evaluate AI outputs and model performance
-
Outline
Module 1 – Introduction to Artificial Intelligence
- What is AI?
- AI workloads
- Narrow AI vs Generative AI
- Responsible AI principles
Module 2 – Machine Learning Fundamentals
- Machine learning concepts
- Training and inference
- Classification
- Regression
- Clustering
Module 3 – Generative AI Fundamentals
- Foundation models
- Large Language Models (LLMs)
- Tokens and prompts
- Generative AI use cases
Module 4 – Azure AI Foundry Fundamentals
- Azure AI Foundry overview
- Projects and resources
- Model Catalog
- Deployments
Module 5 – Azure AI Foundry Playgrounds
- Chat playground
- Prompt experimentation
- Model evaluation
Module 6 – Prompt Engineering
- Prompt design
- System prompts
- Grounding
- Prompt optimization
Module 7 – AI Agents
- Agent concepts
- Agent workflows
- Agent use cases
Module 8 – Language AI Solutions
- Text analysis
- Language understanding
- Translation
- Summarization
Module 9 – Computer Vision Solutions
- Image analysis
- OCR
- Object detection
- Vision use cases
Module 10 – Content Safety and Responsible AI
- Content filtering
- Safety systems
- Risk mitigation
- Governance
Module 11 – Generative AI Applications
- RAG concepts
- Chat applications
- Copilot scenarios
- Enterprise AI solutions
Module 12 – AI-901 Exam Preparation
- Exam objectives
- Sample questions
- Exam strategies
- Final review
Exam Details
Exam AI-901 : Microsoft Azure AI Fundamentals
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A Cisco Success Story
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