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Microsoft Cloud & AI Platform Engineer

Build practical skills in cloud computing, artificial intelligence, data platforms, Microsoft Azure, automation, and modern AI solutions for real-world digital transformation.

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Program Overview

Cloud & AI Platform Engineer Training develops practical skills to design, deploy, manage, and support cloud-based AI and data solutions using Microsoft technologies.

Participants learn cloud fundamentals, AI services, data platforms, automation, security, and solution architecture while exploring technologies such as Microsoft Azure, Azure AI, Azure Machine Learning, Microsoft Fabric, Azure Data Services, Power Platform, and Microsoft Copilot.

Through guided instruction, practical demonstrations, hands-on exercises, and real-world scenarios, learners develop the skills needed to build and support scalable cloud and AI solutions.

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What You Will Learn

Microsoft Azure Fundamentals

Understand cloud concepts, Azure services, resource management, and cloud infrastructure.

Azure AI Services

Learn how to use AI services for intelligent applications, language, vision, and decision-making.

Cloud AI Solutions

Explore how cloud platforms can be used to build, deploy, and manage AI-powered solutions.

Microsoft Fabric & Data Analytics

Develop an understanding of modern data platforms, analytics, data integration, and business intelligence.

Azure Machine Learning

Learn the fundamentals of developing, training, deploying, and managing machine learning solutions.

Data Engineering & Cloud Data

Understand how cloud data can be collected, processed, stored, and prepared for analytics and AI.

AI & Machine Learning

Explore machine learning concepts, AI models, intelligent applications, and practical AI use cases.

Cloud Automation & DevOps

Learn how automation and DevOps practices can improve cloud deployment, management, and application delivery.

Cloud Security

Understand key principles for securing cloud infrastructure, applications, data, identities, and AI solutions.

AI Solution Architecture

Learn how to translate business and technical requirements into scalable cloud and AI architectures.

Generative AI & Copilot

Explore generative AI, Microsoft Copilot, AI assistants, and their applications across modern business environments.

Cloud-Based Digital Transformation

Understand how cloud, AI, data, and automation technologies support organizational digital transformation.

Course Outline

KEY OUTCOMES

Build and deploy intelligent AI agents using Azure AI Foundry, design scalable agentic AI workflows with automation and orchestration, and integrate AI solutions with enterprise applications and data sources.

Proficient

  1. Build your AI app and agent factory with Microsoft Foundry
  2. AI-901: Microsoft Azure AI Fundamentals – Upload Certificate
  3. Review resources for Innovate with AI Apps and Agents partner deck
  4. Review resources for Microsoft Foundry pitch deck and deep dive deck
  5. Review resources for Guidance and Envisioning Workshops
  6. Review resources for Build a business plan based on Cloud Adoption Framework
  7. Review resources for When to use Copilot Studio and Microsoft Foundry
  8. Review resources for Microsoft Solution Accelerators
  9. Review resources for Partner Marketing Center – Innovate with Azure AI apps and agents
  10. Review resources for Partner Marketing Center – Innovate with Azure AI apps and agents SMB
  11. Review resources for a unified offering that combines Azure Migrate & Modernize, Azure Innovate, and Cloud Accelerate Factory
  12. Review resources for access training, guidance, and best practices

Titan

  1. Agentic AI Solutions on Microsoft Foundry – Submit valid partner opportunity reference ID
KEY OUTCOMES

Drive adoption & strategy. Master daily AI workflows. Build no-code agents. Earn Applied Skills credentials.

Learn

  1. Implement Microsoft Defender for Endpoint
  2. Introduction to Microsoft 365 Copilot
  3. Accelerate your AI transformation with Microsoft 365 Copilot

Practice

  1. Next-Gen Productivity: Copilot + Agents for the Modern Enterprise
  2. Elevate user productivity with Microsoft 365 Copilot (End user training)
  3. Microsoft AI-powered selling for Partners (MAPS)

Build & Assess

  1. Microsoft Applied Skills: Generate reports with AI research agents
  2. Microsoft Applied Skills: Streamline business workflows with AI chat
KEY OUTCOMES

Design & govern agents. Build enterprise solutions. Orchestrate actions. Earn Applied Skills badge.

Learn

  1. Accelerate your AI transformation with Microsoft 365 Copilot + Agents
  2. Innovate with Low Code AI Apps and Agents using Power Platform

Practice

  1. Agentic AI and Low-Code Innovation with Microsoft Power Platform
  2. Build, Orchestrate, and Govern AI Agents with Copilot Studio
  3. Build enterprise-ready agents with Copilot Studio (Retired)

Assess

  1. Microsoft Applied Skills: Create agents in Microsoft Copilot Studio
KEY OUTCOMES

Leverage AI to migrate applications. Migrate and modernize databases. Incorporate AI services to apps. Implement AI agents.

Learn

  1. Migrate and modernize your estate on Azure
  2. Modernize Apps and Databases

Practice

  1. Modernize Apps and Databases
  2. Build AI apps and agents with Azure
  3. Accelerate Agentic AI
  4. Implement Agent 365 to observe, govern, and secure AI apps, Copilot & Agents

Assess

  1. Microsoft Applied Skills: Develop data-driven applications by using Microsoft Azure SQL Database
  2. Microsoft Applied Skills: Deploy cloud-native apps using Azure Container Apps

KEY OUTCOMES

Build the skills to position, support, and drive Azure migration and modernization opportunities through strategic customer engagement and technical expertise.

Learning Path

Complete the following courses to finish this journey.

  1. Azure Migration for SMB
  2. Review resources for Migrate and Modernize – Identify high-propensity customers to engage
  3. Review resources for Migrate and Modernize – SMB Azure Partner Solution Plays
  4. Review resources for Migrate and Modernize – Migrate and secure Windows Server and SQL Server to Azure – SMB
  5. Review resources for Migrate and Modernize – Migrate and secure Windows Server and SQL Server and Linux estate – SMB
  6. Review resources for Migrate and Modernize – Partner Offerings
  7. Review resources for Migrate and Modernize – Incentives Guide
  8. Submit a valid Partner Opportunity Reference ID or successfully pass the Second Nature assessment.

Who Should Enroll?

This program is suitable for students, IT professionals, software developers, data professionals, cloud professionals, engineers, consultants, entrepreneurs, and career changers who want to develop practical skills in cloud and AI technologies.

Students and Graduates

Individuals beginning careers in cloud computing, artificial intelligence, information technology, data science, software development, or digital transformation.

Data & AI Professionals

Data analysts, data engineers, AI professionals, and machine learning practitioners who want to strengthen their cloud-based skills.

IT & Technology Professionals

IT professionals, system administrators, developers, engineers, and technology specialists seeking to expand their cloud and AI capabilities.

Cloud & Technology Consultants

Professionals who want to design and implement cloud and AI solutions for organizations and businesses.

Career Changers

Professionals from other fields who want to transition into cloud computing, AI, data, automation, and digital technologies.

Training Method & Program Details

Practical Training

Instructor-led sessions, demonstrations, hands-on exercises, cloud labs, AI activities, solution-design exercises, and guided assessments.

Real-World Scenarios

Learn through practical scenarios involving cloud deployment, AI applications, data analytics, machine learning, automation, security, and digital transformation.

Delivery Mode

Available through online, onsite, or hybrid learning options, subject to the scheduled training batch.

Prerequisites

Basic knowledge of computers, IT systems, or digital technologies is recommended. Previous programming or cloud experience is helpful but not mandatory for foundational learning.

Program Information

Duration, class schedule, fee, training format, and certificate details will be shared with applicants before enrolment.

Career Opportunities

Practical Training

Successful learners can develop skills relevant to roles such as:

  • Cloud & AI Solutions Engineer
  • Azure Cloud Engineer
  • AI Solutions Specialist
  • Cloud Solutions Architect
  • Azure AI Engineer
  • AI/ML Engineer
  • Data Engineer
  • Cloud Data Analyst
  • Machine Learning Specialist
  • Cloud Automation Specialist
  • DevOps & Cloud Specialist
  • Digital Transformation Specialist

Why Learn Cloud & AI?

Cloud computing and artificial intelligence are transforming how organizations build applications, manage data, automate operations, and deliver digital services.

Microsoft Azure provides a broad ecosystem for cloud infrastructure, AI, machine learning, data analytics, security, automation, and intelligent applications.

Learning cloud and AI technologies can help professionals develop practical capabilities for designing scalable solutions and supporting modern digital transformation.

Ready to Build Your Cloud & AI Platform Engineer Career?

Gain practical skills in Microsoft Azure, cloud computing, artificial intelligence, data platforms, machine learning, automation, security, and modern AI solutions through guided training, hands-on exercises, and real-world scenarios. Take the next step toward becoming a confident Cloud & AI Platform Engineer.

Apply Now