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The course focuses on how generative AI technologies can improve productivity, streamline operations, and transform modern business processes. AB-730 explores practical applications of generative AI across areas such as content creation, automation, customer engagement, data analysis, and decision support. Learners gain an understanding of how AI-powered tools can be integrated into everyday workflows to enhance efficiency, support innovation, and optimize business performance. The course also introduces responsible AI practices and considerations for implementing generative AI solutions within organizations.

Learning outcomes

• Understand how generative AI transforms business workflows and operations
• Identify practical use cases for AI-driven automation and productivity
• Explore AI applications for content generation, analysis, and customer interaction
• Recognize opportunities to improve efficiency through AI-powered tools
• Understand responsible AI principles and organizational considerations
• Evaluate how generative AI supports innovation and decision-making
• Build foundational knowledge for adopting AI technologies in business environments

+ Exam Preparation and Q&A Session (1 day)

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The course introduces the role of Artificial Intelligence in product management and explores how AI-driven products are planned, developed, and delivered. AIC-104 covers the fundamentals of managing AI-powered products, including identifying business opportunities, defining product strategies, understanding AI capabilities, and collaborating with technical and business teams throughout the product lifecycle. Learners gain practical insights into integrating AI technologies into products, balancing business goals with user needs, and applying responsible AI practices in product development and decision-making.

Learning outcomes

• Understand the fundamentals of AI product management
• Identify opportunities for integrating AI into products and services
• Define product strategies for AI-powered solutions
• Collaborate effectively with technical, data, and business teams
• Understand the lifecycle of AI product development and deployment
• Apply responsible and ethical AI considerations in product decisions
• Build foundational skills for managing AI-driven products and innovation

+ Exam Preparation and Q&A Session (1 day)

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The course introduces how Artificial Intelligence is transforming project management practices and business operations. AIC-103 explores how AI technologies can support project planning, resource management, risk assessment, communication, and decision-making throughout the project lifecycle. Learners gain practical knowledge of integrating AI-powered tools into project workflows, improving team productivity, and managing projects more efficiently in modern digital environments. The course also highlights responsible AI practices and the strategic role of AI in project delivery and organizational transformation.

Learning outcomes

• Understand the role of AI in modern project management
• Explore AI-powered tools for planning, tracking, and collaboration
• Improve project decision-making through data-driven insights
• Identify opportunities for automation and workflow optimization
• Understand AI applications in risk management and resource allocation
• Apply responsible and ethical AI practices in project environments
• Build foundational skills for managing AI-supported projects and teams

+ Exam Preparation and Q&A Session (1 day)

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The course explores how artificial intelligence is transforming human resources processes and workforce management. AIC-105 introduces AI applications across recruitment, employee engagement, performance management, learning and development, and workforce analytics. Learners gain practical insights into how AI-powered tools can improve HR decision-making, automate repetitive tasks, enhance employee experiences, and support more efficient talent management processes. The course also covers responsible AI practices, ethical considerations, and the impact of AI on the future of work and organizational culture.

Learning outcomes

• Understand the role of AI in modern human resources practices
• Explore AI applications in recruitment, onboarding, and talent management
• Identify opportunities to improve HR workflows through automation
• Use AI-driven insights to support employee engagement and performance management
• Understand workforce analytics and data-driven HR decision-making
• Apply responsible and ethical AI practices in HR environments
• Build foundational knowledge for integrating AI technologies into HR operations

+ Exam Preparation and Q&A Session (1 day)

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The course focuses on using AI-powered chat solutions to improve communication, automate routine tasks, and optimize business workflows. APL-650 explores how conversational AI and AI chat tools can support customer service, internal collaboration, knowledge management, and process automation across different business functions. Learners gain practical insights into designing and implementing AI chat experiences, integrating AI assistants into workflows, and enhancing productivity through intelligent automation. The course also introduces responsible AI practices and effective strategies for adopting AI chat technologies within organizations.

Learning outcomes

• Understand the role of AI chat solutions in modern business workflows
• Explore conversational AI applications for communication and automation
• Identify opportunities to improve productivity through AI-powered assistants
• Design and integrate AI chat experiences into business processes
• Streamline collaboration, support, and information access using AI tools
• Apply responsible and ethical AI practices in conversational AI environments
• Build foundational knowledge for implementing AI chat solutions in organizations

+ Exam Preparation and Q&A Session (1 day)

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The course focuses on using AI-powered research agents to collect, analyze, and organize information for business reporting and decision-making. APL-6501 explores how AI agents can automate research tasks, summarize large volumes of data, generate insights, and support the creation of structured reports more efficiently. Learners gain practical knowledge of working with AI-assisted research and reporting tools, improving information analysis workflows, and enhancing productivity through intelligent automation. The course also introduces responsible AI practices and effective approaches for using AI-generated insights in professional environments.

Learning outcomes

• Understand how AI research agents support reporting and information analysis
• Automate research and data collection workflows using AI tools
• Generate summaries, insights, and structured business reports with AI assistance
• Improve productivity through AI-powered information processing
• Explore practical use cases for AI-assisted reporting and decision-making
• Apply responsible and ethical AI practices when working with AI-generated content
• Build foundational skills for integrating AI research tools into business workflows

+ Exam Preparation and Q&A Session (1 day)

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The course focuses on leading organizational transformation through the adoption and strategic implementation of Artificial Intelligence. AB-731 explores how AI technologies drive innovation, improve operational efficiency, and reshape business models across industries. Learners gain practical insights into developing AI strategies, managing organizational change, identifying business opportunities for AI adoption, and aligning AI initiatives with business goals. The course also highlights leadership responsibilities related to responsible AI, governance, workforce transformation, and building a culture that supports AI-driven innovation.

Learning outcomes

• Understand the role of leadership in AI-driven business transformation
• Develop strategies for adopting and scaling AI initiatives within organizations
• Identify opportunities to improve business operations and innovation through AI
• Manage organizational change and workforce adaptation in AI environments
• Align AI initiatives with business objectives and long-term strategy
• Understand responsible AI governance, ethics, and risk considerations
• Build leadership capabilities for driving successful AI transformation programs

+ Exam Preparation and Q&A Session (1 day)

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The course focuses on using AI-powered chat solutions to improve communication, automate routine tasks, and optimize business workflows. APL-650 explores how conversational AI and AI chat tools can support customer service, internal collaboration, knowledge management, and process automation across different business functions. Learners gain practical insights into designing and implementing AI chat experiences, integrating AI assistants into workflows, and enhancing productivity through intelligent automation. The course also introduces responsible AI practices and effective strategies for adopting AI chat technologies within organizations.

Learning outcomes

• Understand the role of AI chat solutions in modern business workflows
• Explore conversational AI applications for communication and automation
• Identify opportunities to improve productivity through AI-powered assistants
• Design and integrate AI chat experiences into business processes
• Streamline collaboration, support, and information access using AI tools
• Apply responsible and ethical AI practices in conversational AI environments
• Build foundational knowledge for implementing AI chat solutions in organizations

+ Exam Preparation and Q&A Session (1 day)

Find full course outline here.

The course focuses on using AI-powered research agents to collect, analyze, and organize information for business reporting and decision-making. APL-6501 explores how AI agents can automate research tasks, summarize large volumes of data, generate insights, and support the creation of structured reports more efficiently. Learners gain practical knowledge of working with AI-assisted research and reporting tools, improving information analysis workflows, and enhancing productivity through intelligent automation. The course also introduces responsible AI practices and effective approaches for using AI-generated insights in professional environments.

Learning outcomes

• Understand how AI research agents support reporting and information analysis
• Automate research and data collection workflows using AI tools
• Generate summaries, insights, and structured business reports with AI assistance
• Improve productivity through AI-powered information processing
• Explore practical use cases for AI-assisted reporting and decision-making
• Apply responsible and ethical AI practices when working with AI-generated content
• Build foundational skills for integrating AI research tools into business workflows

+ Exam Preparation and Q&A Session (1 day)

Find full course outline here.

The course provides an introduction to managing Microsoft 365 environments and understanding the role of AI within modern workplace technologies. AB-900 explores the core Microsoft 365 services, administrative concepts, security and compliance features, and the integration of AI-powered capabilities across collaboration and productivity tools. Learners gain foundational knowledge of Microsoft 365 administration, user and service management, and how AI technologies enhance productivity, communication, and business operations within organizations.

Learning outcomes

• Understand the core components and services within Microsoft 365
• Explore the fundamentals of Microsoft 365 administration and management
• Identify key security, compliance, and identity management features
• Understand how AI capabilities are integrated into Microsoft 365 services
• Explore AI-driven productivity and collaboration tools for modern workplaces
• Recognize best practices for managing users, services, and organizational resources
• Build foundational knowledge for working with Microsoft 365 and AI-enabled environments

+ Exam Preparation and Q&A Session (1 day)

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The course focuses on designing and building AI-powered agents that support business processes and improve user interactions. APL-7008 course explores how Microsoft Copilot Studio is used to create, configure, test, and publish agents that can answer questions, automate tasks, and connect with organizational data and systems. Learners gain practical knowledge of building conversational experiences, defining agent behavior, integrating actions and knowledge sources, and applying responsible AI practices when developing agents for real business scenarios.

Learning outcomes

• Understand the role of agents in Microsoft Copilot Studio
• Create and configure AI-powered agents for business use cases
• Build conversational experiences that support users and workflows
• Connect agents to knowledge sources, data, and external actions
• Test, refine, and publish agents within Microsoft Copilot Studio
• Apply responsible AI principles when designing agent experiences
• Build foundational skills for developing intelligent business assistants

+ Exam Preparation and Q&A Session (1 day)

Find full course outline here.

The course focuses on how generative AI technologies can improve productivity, streamline operations, and transform modern business processes. AB-730 explores practical applications of generative AI across areas such as content creation, automation, customer engagement, data analysis, and decision support. Learners gain an understanding of how AI-powered tools can be integrated into everyday workflows to enhance efficiency, support innovation, and optimize business performance. The course also introduces responsible AI practices and considerations for implementing generative AI solutions within organizations.

Learning outcomes

• Understand how generative AI transforms business workflows and operations
• Identify practical use cases for AI-driven automation and productivity
• Explore AI applications for content generation, analysis, and customer interaction
• Recognize opportunities to improve efficiency through AI-powered tools
• Understand responsible AI principles and organizational considerations
• Evaluate how generative AI supports innovation and decision-making
• Build foundational knowledge for adopting AI technologies in business environments

+ Exam Preparation and Q&A Session (1 day)

Find full course outline here.

The course focuses on designing and implementing AI-driven business solutions powered by intelligent agents and autonomous AI systems. The course explores how agentic AI can support complex decision-making, automate workflows, improve customer interactions, and enhance operational efficiency across organizations. Learners gain practical insights into architecting AI solutions that combine generative AI, conversational AI, automation, and enterprise data to create scalable and adaptive business systems. The course also covers responsible AI practices, governance, and strategic considerations for deploying agentic AI solutions in real-world business environments.

Learning outcomes

• Understand the principles and architecture of agentic AI solutions
• Design AI-driven systems that support automation and intelligent decision-making
• Explore how generative AI and intelligent agents enhance business operations
• Integrate AI agents with enterprise data, workflows, and business applications
• Identify opportunities for scalable and adaptive AI solutions across organizations
• Apply responsible AI governance and security considerations in AI architectures
• Build foundational knowledge for architecting enterprise AI business solutions

+ Exam Preparation and Q&A Session (1 day)

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The course focuses on managing and optimizing financial processes using Microsoft Dynamics 365 Finance. MB-310 explores core financial management capabilities including general ledger, budgeting, accounts payable and receivable, fixed assets, cash and bank management, and financial reporting. Learners gain practical knowledge of configuring and using Dynamics 365 Finance to support financial operations, improve accuracy and compliance, and streamline business processes within modern organizations. The course also introduces financial insights, automation capabilities, and best practices for managing enterprise financial operations.

Learning outcomes

• Understand the core financial management capabilities of Dynamics 365 Finance
• Manage general ledger, budgeting, and financial reporting processes
• Configure accounts payable, accounts receivable, and cash management functions
• Work with fixed assets and financial compliance features
• Improve financial operations through automation and process optimization
• Support accurate financial tracking and business decision-making
• Build foundational knowledge for managing financial operations in Dynamics 365 Finance

+ Exam Preparation and Q&A Session (1 day)

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The course introduces the core concepts and capabilities of supply chain management within Microsoft Dynamics 365. MB-330 explores how organizations manage procurement, inventory, warehousing, production, planning, and logistics processes to improve operational efficiency and support business continuity. Learners gain an understanding of how Dynamics 365 Supply Chain Management helps streamline end-to-end supply chain operations, optimize resource planning, improve visibility across processes, and support data-driven decision-making in modern business environments.

Learning outcomes

• Understand the core concepts of supply chain management in Dynamics 365
• Explore procurement, inventory, warehousing, and logistics processes
• Understand production planning and resource management capabilities
• Identify ways to improve operational efficiency and supply chain visibility
• Explore how Dynamics 365 supports end-to-end supply chain operations
• Recognize the role of automation and data insights in supply chain management
• Build foundational knowledge of supply chain processes within Microsoft Dynamics 365

+ Exam Preparation and Q&A Session (1 day)