Weekend batches
October 2026
09:00–15:00 · flexible hours
$850per learner
24 Oct 2026
4 of 25 seats available
31 Oct 2026
10 of 25 seats available
Generative AI
Microsoft Copilot Studio in Guinea-Bissau
Microsoft Copilot Studio training in Guinea-Bissau provides practical skills to build, customize, and deploy AI-powered copilots and intelligent agents. Learn conversational AI, generative AI, topics, prompts, Power Automate, connectors, Dataverse, APIs, and enterprise integrations. This course helps professionals create automated business solutions, enhance productivity, and develop scalable AI agents using Microsoft Copilot Studio for real-world organizational use cases.
40 Hours/5 daysIntermediate4.6 · 1,000 reviews
Training calendar
Upcoming four-month course schedule
A new weekday and weekend batch starts every week. Each batch runs for 5 training days, based on the course duration of 40 Hours/5 days.
Weekend batches
November 2026
09:00–15:00 · flexible hours
$850per learner
07 Nov 2026
25 of 25 seats available
14 Nov 2026
25 of 25 seats available
21 Nov 2026
25 of 25 seats available
28 Nov 2026
25 of 25 seats available
Weekend batches
December 2026
09:00–15:00 · flexible hours
$850per learner
05 Dec 2026
25 of 25 seats available
12 Dec 2026
25 of 25 seats available
19 Dec 2026
25 of 25 seats available
26 Dec 2026
25 of 25 seats available
Weekend batches
January 2027
09:00–15:00 · flexible hours
$850per learner
02 Jan 2027
25 of 25 seats available
09 Jan 2027
25 of 25 seats available
16 Jan 2027
25 of 25 seats available
23 Jan 2027
25 of 25 seats available
30 Jan 2027
25 of 25 seats available
Course curriculum
What you’ll learn
40 Hours/5 daysIntermediate
- Module 1: Introduction to Microsoft Copilot Studio
- Overview of Microsoft Copilot Studio and its role in building AI-powered agents and workflows.
- Understanding Copilot Studio capabilities, use cases, interfaces, and the agent development lifecycle in Guinea-Bissau.
- Module 2: Copilot Studio Architecture and Agent Concepts
- Understanding agents, agent harnesses, generative AI, knowledge, actions, and orchestration.
- Exploring how Copilot Studio agents interact with users, business systems, and enterprise data in Guinea-Bissau.
- Module 3: Creating and Configuring AI Agents
- Creating agents and configuring agent names, descriptions, instructions, and behavioral settings.
- Understanding agent configuration practices for different business scenarios in Guinea-Bissau.
- Module 4: Topics and Conversational Design
- Creating topics, trigger phrases, conversation paths, variables, and responses.
- Designing structured conversations and user experiences for AI agents in Guinea-Bissau.
- Module 5: Generative AI and Prompting
- Understanding generative AI capabilities, large language models, prompts, instructions, and AI-generated responses.
- Creating effective prompts and configuring generative responses for Copilot Studio agents in Guinea-Bissau.
- Module 6: Knowledge Sources and Generative Answers
- Connecting knowledge sources to provide relevant and contextual responses.
- Configuring generative answers and custom knowledge sources for intelligent agents in Guinea-Bissau.
- Module 7: Power Platform and Dataverse Integration
- Understanding Power Platform capabilities and Dataverse integration for business applications.
- Connecting agents with organizational data and business processes using Microsoft technologies in Guinea-Bissau.
- Module 8: Connectors and External Data Integration
- Using prebuilt and custom connectors to connect agents with Microsoft and third-party services.
- Understanding connector-based integration with applications, APIs, and enterprise data sources in Guinea-Bissau.
- Module 9: Tools and Actions in Copilot Studio
- Adding tools that enable agents to retrieve information and perform actions.
- Configuring tools, inputs, outputs, and action-based interactions for business scenarios in Guinea-Bissau.
- Module 10: Power Automate and Agent Flows
- Using Power Automate and agent flows to automate repetitive and multi-step business processes.
- Designing triggers, actions, connectors, conditions, and workflow logic in Guinea-Bissau.
- Module 11: API and HTTP Integration
- Working with REST APIs, HTTP requests, JSON, authentication, and external services.
- Building API-driven agent capabilities for real-time data access and business operations in Guinea-Bissau.
- Module 12: Advanced Agent Orchestration
- Understanding generative orchestration and how agents select appropriate topics, tools, knowledge, and actions.
- Exploring connected agents and multi-agent approaches for complex business requirements in Guinea-Bissau.
- Module 13: Microsoft 365 and Enterprise Integrations
- Integrating Copilot Studio agents with Microsoft Teams, SharePoint, Microsoft 365, and enterprise applications.
- Designing practical enterprise scenarios that connect agents with organizational workflows in Guinea-Bissau.
- Module 14: Security, Authentication, and Governance
- Understanding authentication, permissions, data policies, access control, and responsible AI considerations.
- Applying security and governance practices when deploying enterprise AI agents in Guinea-Bissau.
- Module 15: Testing and Evaluation of AI Agents
- Testing conversations, tools, knowledge responses, workflows, and agent behavior.
- Creating test scenarios and evaluating agent performance to improve reliability in Guinea-Bissau.
- Module 16: Monitoring, Analytics, and Optimization
- Monitoring agent activity, performance, conversations, errors, and usage patterns.
- Applying analytics and optimization techniques to improve AI agent effectiveness in Guinea-Bissau.
- Module 17: Publishing and Deployment
- Preparing agents for deployment across supported channels and enterprise environments.
- Publishing agents to websites, Microsoft Teams, SharePoint, and Microsoft 365 experiences in Guinea-Bissau.
- Module 18: Hands-On Microsoft Copilot Studio Capstone Project
- Design and build a complete AI agent integrating conversational capabilities, knowledge, tools, connectors, and workflows.
- Test, optimize, secure, and prepare the completed Copilot Studio solution for a real-world business scenario in Guinea-Bissau.
Entry requirements and prerequisites
- Basic Microsoft 365 Knowledge – Familiarity with Microsoft 365 applications and business productivity tools is recommended for Microsoft Copilot Studio training in Guinea-Bissau.
- Generative AI Fundamentals – Basic understanding of Generative AI, Large Language Models (LLMs), AI assistants, and conversational AI is beneficial.
- Basic Programming Concepts – Familiarity with fundamental programming concepts can help learners understand AI agent logic, integrations, and automation.
- Microsoft Power Platform Knowledge – Basic awareness of Power Platform, including Power Automate, Power Apps, and Dataverse, is helpful for developing Copilot Studio solutions.
- API and Integration Fundamentals – Understanding of APIs, connectors, JSON, authentication, and data integration is useful for connecting copilots with external systems.
- Conversational AI Concepts – Basic knowledge of chatbots, conversation flows, prompts, topics, and AI-powered virtual assistants is recommended.
- Business Process Understanding – Familiarity with workflows and common business processes helps learners create practical AI agents and automation solutions using Microsoft Copilot Studio in Guinea-Bissau.
Career value
Reasons to choose this course
Learn Modern AI Agent Development
Build practical skills to create AI-powered agents that combine generative AI, knowledge, and actions with Microsoft Copilot Studio in Guinea-Bissau.
Master Copilot Studio Capabilities
Learn how to design, configure, customize, test, and deploy intelligent agents for real-world business requirements in Guinea-Bissau.
Build Enterprise AI Solutions
Develop AI solutions that can work with business data, applications, and enterprise systems to support organizational workflows in Guinea-Bissau.
Work with Connectors and APIs
Gain practical knowledge of Power Platform connectors, custom connectors, APIs, and external services for extending agent capabilities in Guinea-Bissau.
Automate Business Processes
Learn to use workflows and agent flows to automate repetitive and multi-step business processes efficiently in Guinea-Bissau.
Integrate Enterprise Knowledge
Learn how to connect agents with enterprise knowledge sources so they can provide more relevant and context-aware responses in Guinea-Bissau.
Advantages
Turn learning into practical capability
Accelerate AI Solution Development
Learn approaches that can reduce manual development effort and help create AI-powered business solutions efficiently in Guinea-Bissau.
Strengthen Low-Code Development Skills
Build practical expertise with Copilot Studio’s graphical, low-code environment while developing solutions suitable for both business and technical teams in Guinea-Bissau.
Enhance Workflow Intelligence
Understand how agents and workflows can work together to support multi-step business processes and intelligent automation in Guinea-Bissau.
Improve Customer and Employee Experiences
Develop conversational AI solutions that can support users across channels such as Microsoft Teams, websites, and Microsoft 365 experiences in Guinea-Bissau.
Develop Scalable Automation Skills
Learn how to design solutions that connect AI agents with business applications, data sources, and automation capabilities for evolving organizational needs in Guinea-Bissau.
Build Practical AI Career Readiness
Gain industry-relevant knowledge of AI agents, workflows, generative AI, enterprise automation, and Microsoft technologies to support career growth in Guinea-Bissau.
Exam format & assessment
- Exam Level: Intermediate – Microsoft Copilot Studio
- Exam Type: Online computer-based examination covering Microsoft Copilot Studio concepts, AI agents, conversational design, generative AI, integrations, workflows, testing, and deployment in Guinea-Bissau.
- Number of Questions: 40 questions
- Exam Duration: 90 minutes
- Passing Score: 70% (28 out of 40 questions)
- Question Format: Multiple-choice, scenario-based, and practical knowledge questions.
- Core Exam Topics: Microsoft Copilot Studio, AI agent creation, agent instructions, topics, generative AI, knowledge sources, connectors, APIs, Power Automate, agent flows, automation, security, testing, evaluation, monitoring, and publishing in Guinea-Bissau.
- Practical Assessment: Scenario-based questions may evaluate the learner's ability to select appropriate tools, workflows, integrations, knowledge sources, and agent configurations for business requirements in Guinea-Bissau.
- Exam Delivery: Online assessment accessible to learners participating in Microsoft Copilot Studio training in Guinea-Bissau.
- Certificate: Learners who achieve the required passing score receive a StepMerit Learning Course Completion Certificate for Microsoft Copilot Studio training.
- Assessment Focus: The examination evaluates practical understanding of designing, developing, automating, testing, and managing AI agents and workflows using Microsoft Copilot Studio in Guinea-Bissau.
Bring your learning together
Course conclusion
Microsoft Copilot Studio training in Guinea-Bissau provides practical knowledge to design, build, customize, test, and deploy AI-powered agents and intelligent workflows. Learners develop skills in conversational AI, generative AI, knowledge integration, connectors, APIs, automation, agent orchestration, security, and enterprise deployment. With hands-on learning and real-world business scenarios, this course helps professionals strengthen their AI automation and Microsoft Power Platform expertise. Microsoft Copilot Studio skills can support organizations in creating intelligent solutions that improve productivity, automate business processes, and deliver AI-powered experiences across channels such as Microsoft Teams, Microsoft 365, websites, and enterprise applications.
Target audience
- Microsoft Copilot Studio Developers
- AI Agent Developers
- Conversational AI Professionals
- Generative AI Professionals
- Power Platform Developers
- Power Platform App Makers
- AI Automation Professionals
- IT Professionals and System Integrators
- Business Users and Functional Consultants
- Data and AI Specialists
- Microsoft 365 Professionals
- AI Enthusiasts and Career Switchers
Verified learning evidence
Expertise, recognition and learner outcomes
Course-specific expertise
- Professional & Training Experience: 5+ Years
- Course Training Experience: 120+ Hours of training focused on Microsoft Copilot Studio, conversational AI, Copilot development, Generative AI, knowledge integration, Power Platform, automation, and enterprise AI applications.
- Candidates Trained: 180+ candidates, including IT professionals, software developers, business analysts, automation professionals, Power Platform users, AI professionals, and business users.
- Training Delivery Experience: Experienced in instructor-led online and classroom training with live demonstrations, hands-on labs, interactive exercises, assignments, business scenarios, and project-based learning.
- Microsoft Copilot Studio Expertise: Practical experience creating and configuring Copilots, conversational topics, instructions, knowledge sources, generative responses, actions, and automated conversation workflows.
- Conversational AI Development: Hands-on experience designing natural-language interactions, customer-service conversations, topic-based workflows, response handling, and conversational experiences.
- Knowledge Integration: Experience connecting Copilots with approved organisational documents, FAQs, websites, knowledge bases, product information, and other enterprise content.
- Power Platform Expertise: Practical experience using Microsoft Power Platform capabilities and connectors to integrate Copilots with business applications, workflows, data sources, and enterprise processes.
- Workflow Automation: Experience designing automated workflows and actions that enable Copilots to support routine business processes and improve organisational productivity.
- Banking Use Cases: Training and project experience applying Microsoft Copilot Studio to banking scenarios such as customer enquiries, account information, card services, loan information, banking policies, FAQs, and customer-service automation.
- Integration Experience: Practical knowledge of connecting Copilot solutions with approved APIs, business applications, databases, Power Automate flows, and other enterprise systems.
- Conversation Testing & Optimization: Experience testing Copilot conversations across different scenarios and refining topics, instructions, knowledge sources, responses, and workflows to improve accuracy and customer experience.
- Security & Responsible AI: Training experience covering data privacy, access control, sensitive customer information, responsible AI, secure knowledge integration, response validation, and human escalation.
- Hands-On Project Guidance: Experience guiding learners through end-to-end Copilot Studio projects involving conversational design, knowledge integration, automation, connectors, business workflows, testing, and deployment concepts.
- Assessment Experience: Experienced in evaluating learners through practical labs, assignments, quizzes, scenario-based exercises, Copilot configuration tasks, demonstrations, and project assessments.
Documented learner outcomes
- Problem Statement – A banking organisation handles large volumes of customer enquiries related to accounts, cards, loans, transactions, banking services, fees, policies, and digital banking processes. Customer-service teams may spend significant time responding to repetitive questions and searching across multiple sources to find accurate information. Traditional support systems may provide limited conversational capabilities, while generic AI solutions may not be connected to the bank's approved knowledge and business workflows. The challenge is to develop an AI-powered banking assistant using Microsoft Copilot Studio that can provide contextual customer support, retrieve approved banking information, automate routine interactions, and connect with business systems while maintaining security, privacy, accuracy, and human oversight.
- How We Overcame the Problem – Learners analysed banking customer-service requirements and identified suitable use cases for Microsoft Copilot Studio. They designed conversational topics, configured instructions, connected approved knowledge sources, created response flows, and integrated business actions using appropriate connectors and Power Platform capabilities. Learners tested customer conversations, refined topics and responses, implemented escalation workflows, and applied responsible AI and security practices to improve the reliability and usefulness of the banking Copilot.
- Overall Implementation – Learners implemented a banking Copilot workflow covering business requirement → use-case identification → Copilot design → topic configuration → knowledge integration → conversation flow → user request → information retrieval → automated response or action → validation → escalation where required → final customer interaction.
- Banking Customer Enquiry Assistance – Learners configured Copilot conversations to handle common banking questions related to accounts, cards, loans, fees, services, branch information, digital banking, and approved banking policies.
- Banking Knowledge Integration – Learners connected approved banking documentation, FAQs, product information, policies, and service knowledge to provide customers with relevant and consistent information.
- Conversational Topic Design – Learners created and configured topics for different banking scenarios, including account enquiries, card support, loan information, transaction-related questions, and service requests.
- Natural Language Interaction – Learners designed conversational experiences that allow customers to express questions naturally while the Copilot identifies the appropriate topic and provides relevant responses.
- Banking Product Assistance – Learners developed Copilot workflows for providing approved information about banking products such as savings accounts, credit cards, loans, deposits, and digital banking services.
- Customer Service Automation – Learners implemented conversational workflows for handling repetitive customer-service interactions and providing automated responses to frequently asked questions.
- Power Platform Integration – Learners explored Microsoft Power Platform capabilities and connectors to extend Copilot functionality and connect conversational experiences with approved business processes and systems.
- Action-Based Workflows – Learners designed workflows where the Copilot can initiate approved actions or business processes when specific conditions are met, while maintaining appropriate controls for sensitive operations.
- Conversation Routing and Escalation – Learners implemented escalation workflows for complex, sensitive, or unsupported requests, allowing conversations to be transferred to appropriate banking staff when human intervention is required.
- Response Evaluation and Refinement – Learners tested Copilot conversations using different banking scenarios and evaluated responses for accuracy, relevance, consistency, completeness, and customer usefulness. They refined topics, instructions, knowledge sources, and workflows based on the results.
- Banking Security and Responsible AI – Learners addressed risks such as exposure of customer information, unauthorised access, inappropriate automated actions, inaccurate financial information, data privacy concerns, and the need for controlled access to banking systems.
- Human-in-the-Loop Validation – Learners incorporated human review and escalation mechanisms for sensitive banking requests, ensuring that important financial decisions and high-risk operations are handled by authorised banking personnel.
- Evidence of Learning – Learners produced Copilot topic configurations, conversational flows, banking knowledge-source integrations, prompt and instruction configurations, test conversations, automated workflows, connector implementations, escalation scenarios, response evaluations, security considerations, and project documentation as evidence of their practical Microsoft Copilot Studio capabilities.
- Overall Learner Outcome – By completing the implementation, learners demonstrated the ability to design and configure Microsoft Copilot Studio solutions, create conversational topics, integrate approved banking knowledge, develop natural-language interactions, connect Copilots with business workflows, automate routine customer-service activities, implement escalation mechanisms, evaluate Copilot responses, address banking security and privacy requirements, and develop responsible AI-powered banking assistants for realistic business scenarios.
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Frequently asked questions
Microsoft Copilot Studio is a platform for building, customizing, and managing AI agents and intelligent business solutions in Guinea-Bissau.
Developers, IT professionals, Power Platform users, AI professionals, business users, and career switchers can benefit from this course in Guinea-Bissau.
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