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Job Detail

Trainer Required : Gen AI with Azure : Onsite : 20 Hours

  • Job typeJob type: Onsite
  • Job Duration20 - 30 Hours
  • Project LevelExperienced Audience
  • //brahma.lemniscatelab.com/wp-content/uploads/2019/03/img-03-2.pngIndia
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Project detail

Welcome to “AI Competency with Azure,” an immersive 20-hour training program designed to equip you with the essential skills to build, manage, and deploy intelligent applications using Microsoft Azure’s powerful suite of AI services. This course will take you from the foundational principles of AI on the cloud to advanced applications in generative AI, computer vision, and conversational AI, ensuring you can leverage Azure to drive innovation and solve real-world problems.

Course Description

In today’s technology landscape, Artificial Intelligence is a transformative force, and Microsoft Azure provides a comprehensive, scalable, and secure platform to harness its power. This course provides a practical, hands-on journey through the Azure AI ecosystem. Participants will learn how to integrate pre-built AI capabilities into their applications, build custom models, and implement cutting-edge solutions using Azure OpenAI. We will explore everything from text and speech analysis to creating intelligent search solutions and building interactive chatbots. By the end of this training, you will not only understand the “what” and “why” of Azure AI but will have the practical skills to build sophisticated AI-powered solutions responsibly and effectively.

Who Should Attend

This course is ideal for:

  • Software Developers looking to infuse their applications with AI capabilities.
  • IT Professionals and Cloud Engineers who want to understand and manage AI workloads on Azure.
  • Data Scientists and Analysts transitioning to cloud-based AI and ML platforms.
  • Solution Architects responsible for designing intelligent systems and applications.
  • Tech Enthusiasts and Students with a foundational knowledge of cloud computing who wish to specialize in AI.

Learning Objectives

Upon successful completion of this course, you will be able to:

  • Provision, manage, and secure Azure AI services.
  • Integrate language, speech, vision, and document analysis into applications.
  • Understand the fundamentals of Generative AI and build solutions using Azure OpenAI.
  • Implement Retrieval-Augmented Generation (RAG) to ground LLMs with your data.
  • Create robust knowledge mining solutions with Azure AI Search.
  • Design and build conversational AI agents (bots) using the Azure Bot Service.
  • Apply Microsoft’s Responsible AI principles throughout the development lifecycle.

Prerequisites

Attendees should have:

  • A basic understanding of cloud computing concepts (IaaS, PaaS, SaaS).
  • Familiarity with the Microsoft Azure portal and core services.
  • Fundamental programming knowledge (preferably in Python or C#) is beneficial for hands-on labs but not strictly required to understand the concepts.

Detailed Course Outline

Module Topic Duration (Hours) Description
1 Foundations of AI on Azure 3 Sets the stage for the entire course. We’ll demystify the core concepts of AI and Machine Learning, introduce the Azure AI platform, cover Microsoft’s Responsible AI principles, and introduce the Azure Machine Learning Studio.
2 Developing with Azure AI Services 6 Dive deep into Azure’s pre-trained AI models. Covers Language Services (text analysis, speech, Q&A), Vision Services (image analysis, custom models, face detection), and Document Intelligence (extracting information from forms and documents).
3 Building Generative AI Solutions with Azure OpenAI 5 Explore the cutting edge of AI with Azure OpenAI. Covers Large Language Models (LLMs), prompt engineering, building apps for content generation/summarization, and implementing Retrieval-Augmented Generation (RAG) with your own data.
4 Creating Knowledge Mining Solutions 3 Uncover insights hidden within unstructured data using Azure AI Search. You will learn to build a powerful search solution, create an index, enrich it with an AI-powered skillset, and write complex queries to retrieve precise information.
5 Building Conversational AI and Course Wrap-up 3 Learn to create engaging and intelligent chatbots using the Azure Bot Service. We will cover conversational design and integrating other Azure AI services. The course concludes with best practices, solution architecture patterns, and next steps.
Total 20  

Project frequently asked questions

Skills Required

AI/ML Azure Corporate Training

Industry Categories

Corporate Training

Languages required

English

Freelancer type required for this project

Senior Trainer