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Microsoft

AI Engineer

Microsoft via SWAYAM Plus

Overview

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Artificial intelligence (AI) engineers are responsible for developing, programming and training the complex networks of algorithms that make up AI so that they can function like a human brain. This role requires combined expertise in software development, programming, data science and data engineering.

Intended audience

Azure AI Engineer, AI Solution Architect, AI Consultant

Prerequisites

  • As an Azure AI engineer, you have experience developing solutions that use languages such as:
  • Python
  • C#

Assessment & certification

  • Assessment fee: ₹4,800
  • Assessment mode: Center based
  • Assessment type: MCQ
  • Assessment provider: Assessment Partner
  • Certificate provider: Azure AI Engineer, AI Solution Architect, AI Consultant

Syllabus

  • Week 1: Prepare for AI engineering (1 module)
  • Week 2: Provision and manage Azure AI Services (4 modules)
  • Week 3: Process and translate text with Azure AI Services (2 modules)
  • Week 4: Process and Translate Speech with Azure AI Speech Services(2 modules)
  • Week 5: Create a Language Understanding solution with Azure AI Language (2 modules)
  • Week 6: Build a question-answering solution(1 module)
  • Week 7: Build custom text analytics solutions(2 modules)
  • Week 8: Create conversational AI solutions(2 modules)
  • Week 9: Create computer vision solutions with Azure AI Vision(5 modules)
  • Week 10: Extract text from images and documents(2 modules)
  • Week 11: Implement knowledge mining with Azure Cognitive Search(10 modules)
  • Week 12: Develop Generative AI solutions with Azure OpenAI Service(7 modules)

Taught by

Self-Learning

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