Course Details
Course Details
What You'll Learn
Domain 1 Plan AI-powered business solutions (25-30%)
Analyze requirements: assess agents for task automation, data analytics and decision-making, and review grounding data for accuracy, relevance, timeliness and availability
Design the overall AI strategy using the AI adoption process from the Cloud Adoption Framework for Azure
Design multi-agent solutions with Microsoft 365 Copilot, Copilot Studio and Microsoft Foundry
Determine when to build custom agents, extend Microsoft 365 Copilot, or create custom AI models
Provide prompt library and prompt engineering guidelines and establish an AI Center of Excellence
Evaluate ROI and total cost of ownership, decide build/buy/extend, and implement a model router
Domain 2 Design AI-powered business solutions (25-30%)
Design and customize Copilot in Dynamics 365 apps for customer experience and service
Design task, autonomous, and prompt-and-response agents, and propose Foundry Tools for requirements
Design Copilot Studio topics, agent flows and prompt actions, and choose NLP, conversational language understanding or generative orchestration
Design extensibility with custom Microsoft Foundry models, Model Context Protocol and Computer Use
Design agent behaviors including reasoning and voice mode, and agents across Microsoft 365, Teams and SharePoint
Orchestrate AI features across Dynamics 365 finance and supply chain and customer experience and service, Copilot for Sales and Service, and Power Platform AI
Domain 3 Deploy AI-powered business solutions (40-45%)
Monitor and tune agents: monitoring tools and process, backlog and feedback analysis, performance metrics and telemetry interpretation
Manage testing: agent test process and metrics, custom-model validation, end-to-end test scenarios, and test cases built with Copilot
Design the ALM process for data, Copilot Studio agents, connectors and actions, Microsoft Foundry Agents service, custom models, and Dynamics 365 AI
Design agent and model security and governance, and access controls on grounding data and model tuning
Analyze and mitigate solution and AI vulnerabilities, including prompt manipulation
Review for responsible AI adherence, validate data residency and movement compliance, and design audit trails
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
Minimum Entry Requirement
Knowledge and Skills
- Able to operate using computer functions
- Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
- Positive Learning Attitude
- Enthusiastic Learner
Experience
- Minimum of 1 year of working experience.
Target Age Group: 18-65 years old
Minimum Software/Hardware Requirement
Software:
free Microsoft Azure account (https://azure.microsoft.com/en-us/) here
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- Dynamics 365 Finance Functional Consultant
- ERP Financial Consultant
- Accounts Payable/Receivable Specialist
- Budget Analyst
- Financial Systems Analyst
- Fixed Assets Manager
- Credit and Collections Analyst
- Dynamics 365 Administrator
- Accounting and Finance Manager
- Financial Reporting Specialist
- General Ledger Accountant
- ERP Implementation Consultant
- Financial Process Automation Specialist
- Compliance and Taxation Specialist
- Expense Management Consultant
- Accounts Validation Specialist
- Dynamics 365 Finance Support Engineer
- Finance Project Manager
- Financial Data Analyst
- Financial Operations Specialist
Trainers
Trainers
Alec Tan is a ACTA certified trainer, He has a number of Comptia certifications. Since 2002, starting off from IT technical background to pre-sales, sales account manager, system integration, operate IT retail / repair shop business in Sim Lim Square 2008 ~ 2012, and back to IT industry employment, freelance IT Trainer till present.
Kishan Raaj is a seasoned Data Science and SAP Program Manager with over 15 years of experience, currently leading all end-to-end training and projects for Data Science across Asia at LITHAN, Singapore. With expertise in machine learning, data analytics, and cloud technologies, he is well-versed in techniques such as regression, decision trees, clustering, and text mining. He has hands-on experience with tools like Python, R, Tableau, PowerBI, and Microsoft Azure Machine Learning Studio.As an ACTA certified trainer, Kishan has designed and delivered comprehensive courses for SAP and Data Science programs, managing teams and training in multiple countries, including Singapore, Malaysia, China, India, and Vietnam. His background in SAP, particularly in S4/HANA and ABAP, combined with his expertise in machine learning libraries such as TensorFlow and Keras, positions him as a highly capable leader in technical education and project management across various industries.
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