Microsoft AI Courses - Mexico

Microsoft AI Courses

Our Microsoft training

course is accredited by Microsoft

Learn and advance through the various levels of Microsoft AI Courses in in Mexico and strengthen your career opportunities. Develop expertise in Artificial Intelligence, machine learning, generative AI, and AI governance under the guidance of our experienced instructors.

REASONS TO CHOOSE

Gain practical knowledge of Microsoft AI tools and services across business and technical roles
Understand responsible AI principles, governance frameworks, and security considerations
Explore how AI integrates with Microsoft 365, Azure, and enterprise data platforms
Build skills to design AI-driven solutions that enhance productivity and innovation
Stand out for roles requiring AI strategy, implementation, and transformation expertise

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Our Microsoft training

course is accredited by Microsoft

Microsoft AI Courses

accredited by

Our Microsoft Training course is accredited by Microsoft

Duration

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AI Business Professional AB-730 Course Outline

Module 1: Understand Generative AI Fundamentals

Understand Generative AI Capabilities across Microsoft 365 Experiences
- Understand how Copilot Works to keep your Organisation’s Information Private and Secure
- Understand how the Context, like your Work Files, Web Data, or the App you’re using, can Affect Copilot Responses
- Understand the difference between a Chat Experience and an Agent Experience
- Understand the Use Case for Creating your Own Agent
- Understand the Differences in Features and Capabilities of the Copilot Experience in Various Microsoft 365 Apps
Identify Responsible AI and Data Protection Practices
- Identify Common Risks, including Fabrications, Prompt Injection, and Over-Reliance
- Select Verification Steps Appropriate to the Task, including Citation Checks and Human Review
- Recognise and Mitigate Risks to Sensitive Data
- Understand how Data Protection Restricts Prompt Results

Module 2: Manage Prompts and Conversations by using AI

Create and Manage Prompts in Microsoft 365 Copilot
- Understand how to Create an Effective Prompt
- Select Appropriate Resources to Reference in a Prompt
- Save a Prompt
- Schedule a Prompt
- Share a Prompt
Manage Conversations in Copilot
- Understand how to Find Previous Conversations
- Delete a Chat
- Rename a Chat
- Add a Conversation to a Notebook
Create and Manage Microsoft 365 Copilot Agents
- Understand when to use Agent Store versus Creating a New Agent
- Create an Agent by using a Template
- Configure an Agent that has Knowledge
- Configure Agent Settings such as Instructions, Capabilities and Suggested Prompts
- Share an Agent with Team Members

Module 3: Draft and Analyse Business Content by using AI

Draft Business Documents and Communications
- Create a New Document from a Prompt
- Generate a Document from an Existing Document
- Generate a Management Summary based on a Document
- Move Data and Insights between Microsoft 365 Apps
Manage Meetings and Collaboration
- Describe how to use Copilot for Meetings
- Describe how to use Copilot Pages for Collaboration
- Describe how Copilot Uses Memory and Instructions

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Who Should Attend This AI Business Professional AB-730 Course?

This course is designed for professionals seeking to understand Artificial Intelligence from a business and strategic perspective. It supports individuals involved in decision making, digital transformation, innovation planning, and organisational change initiatives.

Business Leaders
Digital Transformation Managers
Strategy and Innovation Professionals
Project Managers
Business Analysts
IT Managers and Consultants

Prerequisites of the AI Business Professional AB-730 Course

There are no formal prerequisites for attending this AI Business Professional AB-730 Course. However, a basic understanding of business operations, digital technologies, or organisational strategy can help delegates follow the concepts more effectively.

AI Business Professional AB-730 Course Overview

The AI Business Professional AB-730 Course introduces delegates to foundational AI concepts and their relevance to modern organisations. It focuses on understanding AI workloads, business scenarios, and strategic impact rather than technical development.

This training explores key AI principles, including machine learning fundamentals, generative AI concepts, data considerations, and responsible AI practices. Delegates gain clarity on identifying appropriate AI use cases and evaluating business readiness.

This 1-Day training by The Knowledge Academy helps delegates build informed awareness of AI adoption, risk management, and governance. It supports structured AI decision making and responsible implementation across business functions.

AI Business Professional AB-730 Course Objectives

To understand core AI concepts and terminology
To identify common AI workloads and business scenarios
To recognise opportunities for AI-driven value creation
To understand responsible AI principles and governance frameworks
To evaluate organisational readiness for AI adoption
To support strategic AI discussions within business environments

Upon completion of this AI Business Professional AB-730 Course, delegates will be able to articulate AI concepts confidently and assess how AI can support organisational objectives. Delegates will have the awareness required to contribute to AI initiatives and informed decision making.

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What’s Included in this AI Business Professional AB-730 Course?

World-class Training from Experienced Instructors
Digital Delegate Pack
Interactive Learning with 24*7 Support

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accredited by

Our Microsoft Training course is accredited by Microsoft

Duration

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AI Transformation Leader AB-731 Course Outline

Module 1: Identify the Business Value of Generative AI Solutions

Identify the Foundational Concepts of Generative AI
- Describe the differences between Generative AI and other Types of AI
- Select a Generative AI Solution to meet a Business Need
- Describe the differences between AI Models, including Fine-Tuned and Pretrained Models
- Explain the Cost Drivers in Generative AI Usage, including Tokens and Return-On-Investment (ROI) Considerations
- Identify the Challenges of using Generative AI Solutions, including Fabrications, Reliability, and Bias
- Identify when Generative AI Solutions can provide Business Value, including Scalability and Automation
Identify Benefits and Capabilities of Generative AI Solutions
- Describe the Impact of Prompt Engineering
- Understand Techniques of Prompt Engineering
- Identify Business Requirements for Grounding Solutions
- Understand how Retrieval-Augmented Generation (RAG) is used for AI Solutions
- Understand the Impact of Data on AI Solutions, including Data Type, Data Quality, and Representative Datasets
- Describe the Importance of Secure AI
- Identify Scenarios when Machine Learning adds Value
- Describe the Lifecycle of a Machine Learning Solution
- Identify Security Considerations for AI Systems, including Application Security, Data Security, and Authentication Requirements

Module 2: Identify Benefits, Capabilities, and Opportunities for Microsoft’s AI Apps and Services

Benefits and Capabilities of Microsoft 365 Copilot and Microsoft Copilot
- Map Business Processes and Use Cases to Copilot
- Differences in Capabilities between Versions of Copilot
- Capabilities of Microsoft 365 Copilot Chat Web and Mobile Experiences
- Capabilities of the Copilot Experience in various Microsoft 365 Apps
- Understand Capabilities of Microsoft Copilot Studio
- Understand Capabilities of Microsoft Graph
- Benefits and Capabilities of an Integrated Microsoft AI Solution, including Risk Mitigation and Safety Benefits
- Map Business Processes and Use Cases to Microsoft’s AI Apps and Services
- Identify when to use Researcher or Analyst in Copilot
- Identify when to Build, Buy, or Extend, including the Microsoft 365 Copilot Extensibility Framework
Identify Benefits and Capabilities of Foundry Tools
- Map Business Processes and Use Cases to Foundry Tools
- Identify Capabilities of Azure AI Services
- Match an AI Model to a Business Need
- Benefits of Microsoft Foundry and Foundry Tools

Module 3: Identify an Implementation and Adoption Strategy for Microsoft’s AI Apps and Services

Align an AI Strategy with Microsoft Responsible AI Policies
- Importance of Responsible AI
- Establish Governance Principles for AI Use
- Establish an AI Council to Guide Strategy, Oversight, and Cross-Functional Alignment
- Ensure that AI Solutions Meet Responsible AI Standards
Plan for AI Adoption across the Organisation
- Establish an Adoption Team
- Identify Common Barriers to Adoption
- Establish an AI Champions Program
- Understand Potential Impacts to Data, Security, Privacy, and Cost
- Copilot License Types, including Pay-as-you go, Monthly, and included with Microsoft 365 Subscription
- Understand Azure AI Services Subscription Models

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Who Should Attend this AI Transformation Leader AB-731 Course?

The AI Transformation Leader AB-731 course is designed to equip professionals with the skills needed to lead AI adoption and innovation across organisations. This course is particularly valuable for the following professionals:

Business Leaders
Strategy Managers
Digital Transformation Leads
Innovation Managers
AI Program Managers
Product Managers
Department Heads
Responsible AI Advocates

Prerequisites of the AI Transformation Leader AB-731 Course

There are no formal prerequisites for taking the AI Transformation Leader AB‑731 course. However, it is recommended for delegates to have experience leading AI adoption or change management and be familiar with Microsoft 365, Foundry, and AI capabilities.

AI Transformation Leader AB-731 Course Overview

The AI Transformation Leader AB-731 Training equips delegates to lead AI adoption and digital transformation. It covers strategic AI application, Microsoft 365 integration, and responsible AI practices, enabling delegates to align AI initiatives with business objectives.

This training enhances the ability to drive AI projects, manage change, and influence teams effectively. It focuses on practical skills, fostering organisational resilience, readiness, and confident implementation of AI initiatives.

This 2-Day course offered by The Knowledge Academy helps delegates apply AI transformation and change management principles in real-world scenarios. It provides actionable insights to optimise workflows, support decision-making, and lead AI adoption successfully.

AI Transformation Leader AB-731 Course Objectives

To understand strategic AI adoption and transformation principles
To identify opportunities for AI integration across business workflows
To lead AI initiatives while ensuring responsible and ethical practices
To align AI projects with organisational goals and change management frameworks
To foster organisational resilience and readiness for AI-driven transformation
To communicate the value and impact of AI initiatives to stakeholders

Upon completing this course, delegates will have gained the leadership mindset, strategic insight, and practical frameworks required to drive AI adoption effectively, influence teams, and deliver measurable business outcomes.

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What’s Included in this AI Transformation Leader AB-731 Course?

World-Class Training Sessions from Experienced Instructors
Digital Delegate Pack
Interactive Learning with 24*7 Support

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Explore Course Information

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accredited by

Our Microsoft Training course is accredited by Microsoft

Duration

Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

Agentic AI Business Solutions Architect AB-100 Course Outline

Module 1: Plan AI-Powered Business Solutions

Analyse Requirements for AI-Powered Business Solutions
- Assess the Use of Agents in Task Automation, Data Analytics, and Decision-Making
- Review Data for Grounding, including Accuracy, Relevance, Timeliness, Cleanliness, and Availability
- Organise Business Solution Data to be Available for other AI Systems
Design Overall AI Strategy for Business Solutions
- Implement the AI Adoption Process from the Cloud Adoption Framework for Azure
- Design the Strategy for Building AI and Agents in Business Solutions
- Design a Multi-Agent Solution by using Platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry
- Develop the Use Cases for Prebuilt Agents in the Solution
- Define the Solution Rules and Constraints when Building AI Components with Copilot Studio, Microsoft Foundry and Foundry Tools
- Determine the use of Generative AI and Knowledge Sources in Agents Built with Copilot Studio
- Determine when to Build Custom Agents or Extend Microsoft 365 Copilot
- Determine when Custom AI Models should be created
- Provide Guidelines for Creating a Prompt Library
- Develop the Use Cases for Customised Small Language Models for the Solution
- Provide Prompt Engineering Guidelines and Techniques for AI-Powered Business Solutions
- Include the Elements of the Microsoft AI Centre of Excellence
- Design AI Solutions that use Multiple Dynamics 365 Apps
Evaluate the Costs and Benefits of an AI-Powered Business Solution
- Select ROI Criteria for AI-Powered Business Solutions, including the Total Cost of Ownership
- Create an ROI Analysis for the Proposed AI Solution for a Business Process
- Analyse whether to Build, Buy, or Extend AI Components for Business Solutions
- Implement a Model Router to Intelligently Route Requests to the Most Suitable Model

Module 2: Design AI-Powered Business Solutions

Design AI and Agents for Business Solutions
- Design Business Terms for Copilot in Dynamics 365 Apps for Customer Experience and Service
- Design Customisations of Copilot in Dynamics 365 apps for Customer Experience and Service
- Design Connectors for Copilot in Dynamics 365 Sales
- Design Agents for Integration with Dynamics 365 Contact Centre Channels
- Design Task Agents
- Design Autonomous Agents
- Design Prompt and Response Agents
- Propose Foundry Tools for a Given Requirement
- Propose Code-First Generative Pages and the use of an Agent Feed for Apps
- Design Topics for Copilot Studio, including Fallback
- Design Data Processing for AI Models and Grounding
- Design a Business Process to include AI Components in a Power Apps Canvas App
- Apply the Microsoft Power Platform Well-Architected Framework to Intelligent Application Workloads
- Determine when to use Standard Natural Language Processing, Azure Conversational Language Understanding, or Generative AI Orchestration in Copilot Studio
- Design Agents and Agent Flows with Copilot Studio
- Design Prompt Actions in Copilot Studio
Design Extensibility of AI Solutions
- Design AI Solutions by using Custom Models in Microsoft Foundry
- Design Agents in Microsoft 365 Copilot
- Design Agent Extensibility in Copilot Studio
- Design Agent Extensibility with Model Context Protocol in Copilot Studio
- Design Agents to Automate Tasks in Apps and Websites by using Computer Use in Copilot Studio
- Design Agent Behaviours in Copilot Studio, including Reasoning and Voice Mode
- Optimise Solution Design by using Agents in Microsoft 365, including Teams and SharePoint
Orchestrate Configuration for Prebuilt Agents and Apps
- Orchestrate AI Features in Dynamics 365 Apps for Finance and Supply Chain
- Orchestrate AI Features in Dynamics 365 Apps for Customer Experience and Service
- Propose Microsoft 365 Agents for Business Scenarios
- Orchestrate the Configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
- Propose Microsoft Power Platform AI Features, including AI Hub
- Design Interoperability of the Finance and Operations Agent Chats to use Additional Knowledge Sources
- Recommend the Process of Adding Knowledge Sources to in-app help and Guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management Apps

Module 3: Deploy AI-Powered Business Solutions

Analyse, Monitor, and Tune AI-Powered Business Solutions
- Recommend the Process and Tools Required for Monitoring Agents
- Analyse Backlog and User Feedback of AI and Agent Usage
- Apply AI-Based Tools to Analyse and Identify Issues and Perform Tuning
- Monitor Agent Performance and Metrics
- Interpret Telemetry Data for Performance and Model Tuning
Manage the Testing of AI-Powered Business Solutions
- Recommend the Process and Metrics to Test Agents
- Create Validation Criteria of Custom AI Models
- Validate Effective Copilot Prompt Best Practices
- Design end-to-end Test Scenarios of AI Solutions that use Multiple Dynamics 365 Apps
- Build the Strategy for Creating Test Cases by using Copilot
Design the ALM Process for AI-Powered Business Solutions
- Design the ALM process for Data used in AI Models and Agents
- Design the ALM process for Copilot Studio Agents, Connectors, and Actions
- Design the ALM Process for Microsoft Foundry Agents
- Design the ALM Process for Custom AI Models
- Design the ALM Process for AI in Dynamics 365 Apps for Finance and Supply Chain
- Design the ALM Process for AI in Dynamics 365 Apps for Customer Experience and Service
Design Responsible AI, Security, Governance, Risk Management, and Compliance
- Design Security for Agents
- Design Governance for Agents
- Design Model Security
- Analyse Solution and AI Vulnerabilities and Mitigations, including Prompt Manipulation
- Review Solution for Adherence to Responsible AI Principles
- Validate Data Residency and Movement Compliance
- Design Access Controls on Grounding Data and Model Tuning
- Design Audit Trails for Changes to Models and Data

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Who Should Attend This Agentic AI Business Solutions Architect AB-100 Course?

The Agentic AI Business Solutions Architect AB-100 Course is designed to equip professionals with the skills needed to design, implement, and manage AI-powered business solutions. This course is particularly valuable for the following professionals:

Solution Architects
AI/ML Engineers
Business Analysts
IT Strategists
Digital Transformation Leads
Technology Consultants
Enterprise Architects
Data & AI Practitioners

Prerequisites of the Agentic AI Business Solutions Architect AB-100 Course

There are no formal prerequisites for attending this training course. However, it is intended for experienced professionals familiar with Microsoft business applications and solution architecture fundamentals.

Agentic AI Business Solutions Architect AB-100 Course Overview

This Agentic AI Business Solutions Architect AB-100 training introduces the core principles of architecting agentic AI business solutions using Microsoft technologies. It shows how agents, copilots, and generative AI streamline processes and decisions.

Delegates gain practical insights into designing scalable and secure AI‑powered solutions that support organisational innovation. The course explores governance practices, architectural trade‑offs, and lifecycle management to strengthen solution‑design judgement.

Delivered over 3-Days by The Knowledge Academy, this course offers a focused and immersive learning experience. Its structure ensures clear coverage of essential architectural concepts and real‑world enterprise considerations.

Agentic AI Business Solutions Architect AB-100 Course Objectives

To understand agentic AI principles using Microsoft technologies
To design scalable, secure, enterprise‑ready AI solutions
To analyse business requirements for appropriate AI components
To apply governance and responsible AI for compliance
To manage design trade‑offs aligned with organisational goals
To communicate AI solution value across enterprise contexts

Upon completing this course, delegates will have gained the architectural mindset, analytical capability, and structured design approach required to support organisations in adopting agentic AI solutions effectively and delivering high‑value business outcomes.

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What’s Included in this Agentic AI Business Solutions Architect AB-100 Course?

World-Class Training Sessions from Experienced Instructors
Digital Delegate Pack
Interactive Learning with 24*7 Support

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Explore Course Information

See dates & prices

Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on + 1-866 272 8822 or Enquire.

Microsoft AI Courses FAQs

What are Microsoft AI Courses?

Microsoft AI Courses are training programmes designed to help professionals understand, implement, and manage Artificial Intelligence solutions using Microsoft technologies such as Azure AI, Microsoft 365 Copilot, and related AI services.

Who should take Microsoft AI Courses?

These courses are suitable for IT professionals, business leaders, data analysts, developers, and anyone interested in understanding AI concepts, governance, and implementation within Microsoft environments.

Do Microsoft AI Courses require coding experience?

Some courses are business-focused and require no coding, while technical AI courses may require basic programming knowledge, depending on the certification level and subject area.

What certifications are available under Microsoft AI Courses?

Microsoft AI Courses prepare learners for certifications related to Azure AI, AI fundamentals, AI engineering, Copilot administration, and AI solution architecture.

Are Microsoft AI Courses suitable for beginners?

Yes, Microsoft offers AI Fundamentals level courses designed for beginners, as well as advanced courses for experienced professionals.

What skills can I gain from Microsoft AI Courses?

Learners gain skills in AI concepts, Machine Learning, generative AI, responsible AI practices, cloud-based AI services, and AI solution implementation within enterprise environments.

How long do Microsoft AI Courses take to complete?

Course duration varies by level. Fundamentals courses may take one day, while advanced technical or certification-focused courses may span multiple days.

Do Microsoft AI Courses cover responsible AI and governance?

Yes, many Microsoft AI Courses include modules on responsible AI, ethical considerations, data privacy, compliance, and risk management.

Are Microsoft AI Courses aligned with Microsoft certifications?

Yes, these courses are structured to align with official Microsoft certification exam objectives and study guides.

What career opportunities can Microsoft AI Courses support?

Microsoft AI Courses can support roles such as AI Engineer, AI Solutions Architect, Data Scientist, AI Administrator, Digital Transformation Lead, and AI Strategy Consultant.

Why choose The Knowledge Academy in Mexico over others?

The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.

What are the other resources provided by The Knowledge Academy in Mexico?

The Knowledge Academy in Mexico offers learning and professional development resources, including course materials, expert-led training sessions, and more. We provide insightful Blogs and News updates, keeping learners well-informed about trends and valuable tips. Explore The Knowledge Academy’s Resources to learn more.

What are the best Microsoft AI Courses in Mexico?

Please see our Microsoft AI Courses available in Mexico

Which is the best training institute/provider of Microsoft AI Courses in Mexico?

The Knowledge Academy is one of the Leading global training provider for Microsoft AI Courses.

What is the cost/training fees for Microsoft AI Courses in Mexico

The training fees for Microsoft AI Courses in Mexico starts from $2695

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water