If you have a goal in mind, you can use Copilot to create a plan for you e.g., 

Below is a combined, end‑to‑end AB‑620 plan that blends:

1. Microsoft Learn modules/learning paths
2. Hands‑on labs/exercises (what you will actually build)
3. Copilot Studio “Academy” (Agent Academy missions + the Microsoft Learn “Copilot Studio Agent Academy” show)

It’s structured as a 4‑week plan (you can stretch to 6 by adding buffer/revision weeks).

0) Core reference + environment (Day 0)

Read (30–45 mins)

• AB‑620 official study guide (use this as the objective checklist). [learn.microsoft.com]

Set up (60–90 mins)

• Copilot Studio Agent Academy (Recruit) — Mission 00: Course Setup (tenant/trial, SharePoint, permissions). [learn.microsoft.com], [hubsite365.com]
  • Note: Academy requires your own environment; some missions need Dataverse/solution import permissions, and MCP work may require Frontier access. [hubsite365.com]

1) Week 1 — Plan & Configure foundations (AB‑620 Domain 1)

Learn (Microsoft Learn)

• Learning path: Create agents in Microsoft Copilot Studio (use this as your baseline path for agents/topics/variables). [learn.microsoft.com]
• Module: Get started with Microsoft Copilot Studio (create, test, publish, analyze performance). [learn.microsoft.com], [learn.microsoft.com]
• Docs hub (bookmark): Microsoft Copilot Studio documentation (use for deep dives as you build). [learn.microsoft.com]

Academy (Copilot Studio Agent Academy)

• Recruit Mission 01: Introduction to Agents (concepts, orchestration, declarative vs custom). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 02: Copilot Studio Fundamentals (knowledge, tools, topics, instructions). [learn.microsoft.com], [linkedin.com]

Watch (Microsoft Learn Show)

• Copilot Studio Agent Academy series (Part 1–2):
  • “Introduction to agents” and “Copilot Studio fundamentals” (quick conceptual alignment). [learn.microsoft.com], [linkedin.com]

Lab (hands-on outcome)

Build Agent A (HR helper):

• Add one knowledge source
• Create 2 topics with trigger phrases
• Use variables for at least one user input path
  (Topics/variables are explicitly part of the “create agents” learning path). [learn.microsoft.com], [learn.microsoft.com]

Deliverable: A working agent that answers + routes correctly.

2) Week 2 — Agent packaging + richer responses (Domain 1 → Domain 2 bridge)

Learn (Microsoft Learn)

• Module: Deliver rich agent responses using Adaptive Cards (message formatting + informational/interactive cards + channel considerations). [learn.microsoft.com]
• Docs: Ask with Adaptive Cards (schema versions, Teams/web constraints, capturing inputs into variables). [learn.microsoft.com]

Academy

• Recruit Mission 03: Create a Declarative Agent (M365 Copilot extension pattern). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 04: Creating a Solution (package agent into a solution). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 08: Enhance with Adaptive Cards (Power Fx + SharePoint card scenario). [learn.microsoft.com], [learn.microsoft.com]

Watch (Microsoft Learn Show)

• “Deploy a declarative agent…” (Part 3) + “Creating a solution…” (Part 4) + “Adaptive Cards…” (Part 8). [learn.microsoft.com]

Lab (hands-on outcome)

Enhance Agent A:

• Add 1 informational Adaptive Card (formatted output)
• Add 1 interactive “Ask with Adaptive Card” to collect structured input and store it in variables [learn.microsoft.com], [learn.microsoft.com]
• Package your agent as a solution for repeatable deployment [learn.microsoft.com], [learn.microsoft.com]

Deliverable: Solution exported + agent collects structured input.

3) Week 3 — Integrate & extend (AB‑620 Domain 2, highest weight)

Learn (Microsoft Learn)

• Module: Take action from agent conversations using topics and tools
  Covers: tools, calling agent flows, and HTTP request node for REST APIs + error handling. [learn.microsoft.com], [learn.microsoft.com]
• Module: Generate AI-powered agent responses using generative answers
  Covers: generative answers node, custom knowledge sources (including HTTP/flows), instructions, custom prompts, and Foundry model selection. [learn.microsoft.com]
• Module: Introduction to tools for declarative agents (tool types + considerations). [learn.microsoft.com]

Docs (targeted deep dives)

• Add tools to custom agents (connectors, custom connectors, REST API tools, MCP, agent flows, prompts, computer use). [learn.microsoft.com]
• Make HTTP requests (HTTP Request node details: methods, headers, schema from sample JSON, variables). [learn.microsoft.com]
• Action/tool use patterns (API plugins vs MCP vs agent-to-agent patterns). [learn.microsoft.com]

Academy

• Recruit Mission 05: Using a pre-built agent (template customization). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 06: Build a Custom Agent (grounded with your data). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 07: Add a Topic with Triggers (topic authoring and branching). [learn.microsoft.com], [learn.microsoft.com]

Lab (hands-on outcome)

Build Agent B (IT Service helper) focusing on integration:

Lab B1 — REST API action via HTTP Request node

• Add a topic that calls an external REST endpoint using the HTTP Request node, stores the response in a variable (schema from sample JSON), and handles errors. [learn.microsoft.com], [learn.microsoft.com]

Lab B2 — Tooling pattern comparison

• Implement one of:
  • A connector-based tool, or
  • A REST API tool, or
  • An agent flow tool (see Week 4)
    (These are explicitly listed tool mechanisms). [learn.microsoft.com], [learn.microsoft.com]

Lab B3 — Generative answers grounded response

• Add a generative answers node grounded in your chosen knowledge source + custom instructions to constrain output. [learn.microsoft.com]

Deliverable: Agent B can (1) call an API, (2) return structured output, (3) ground responses via generative answers.

4) Week 4 — Automation, testing/ops, publish (AB‑620 Domain 3)

Learn (Microsoft Learn)

Choose one agent flows route (both are valid; pick based on time):

• Option A (shorter): “Automate workflows using agent flows in Copilot Studio” (create flows, triggers/actions/connectors, monitoring). [learn.microsoft.com]
• Option B (deeper): “Use agent flows in Copilot Studio” (NL + designer exercises, prompt actions, monitoring, calling flows). [learn.microsoft.com], [learn.microsoft.com]

Docs (ops + structure)

• Agent flows overview (benefits, triggers, actions, monitoring, solution support). [learn.microsoft.com]
• Copilot Studio docs hub sections for test/evaluate/admin/analyze and publishing (use as reference while finishing). [learn.microsoft.com]

Academy

• Recruit Mission 09: Automate with Agent Flows (use card input to trigger backend flows). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 10: Add Event Triggers (autonomous behavior). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 11: Publish Your Agent (Teams + Microsoft 365 Copilot). [learn.microsoft.com], [learn.microsoft.com]
• Recruit Mission 12: Understanding Licensing (licensing/billing awareness). [learn.microsoft.com]

Watch (Microsoft Learn Show)

• “Add an agent flow…” (Part 9), “Add event triggers…” (Part 10), “Publishing your agent” (Part 11). [learn.microsoft.com]

Lab (hands-on outcome)

Lab C1 — Agent flow automation

• Create an agent flow with:
  • a trigger,
  • multiple actions via connectors,
  • basic control logic,
  • monitoring checks
    (All explicitly covered in Learn modules + agent flow overview). [learn.microsoft.com], [learn.microsoft.com]

Lab C2 — Wire flow into your agent

• Call the flow from a topic (topic → flow → return output). [learn.microsoft.com], [learn.microsoft.com]

Lab C3 — Autonomy

• Add at least one event trigger scenario (autonomous capability). [learn.microsoft.com], [learn.microsoft.com]

Lab C4 — Publish

• Publish to Teams and/or Microsoft 365 Copilot. [learn.microsoft.com], [learn.microsoft.com]

Deliverable: End-to-end: user input → adaptive card → flow → external system action → response → published.

5) Capstone “AB‑620 style” scenario pack (optional but recommended)

Use the docs + training modules to answer these typical AB‑620 architecture decisions:

1. “Which action pattern?” choose between API plugin vs MCP vs agent-to-agent and justify. [learn.microsoft.com]
2. “How do I extend the agent?” pick tool type (connector / REST / agent flow / prompt / MCP / computer use). [learn.microsoft.com], [learn.microsoft.com]
3. “How do I call an external REST API?” implement with HTTP request node including headers/schema and error handling. [learn.microsoft.com], [learn.microsoft.com]
4. “How do I automate multi-step tasks reliably?” use agent flows + monitoring. [learn.microsoft.com], [learn.microsoft.com]

6) Checklist view (what you should have built by the end)

By the end of this combined plan you will have:

• ✅ 2 agents (one informational, one integration-heavy) built in Copilot Studio [learn.microsoft.com], [learn.microsoft.com]
• ✅ Topics + variables + branching paths [learn.microsoft.com], [learn.microsoft.com]
• ✅ Adaptive Cards (informational + interactive input) [learn.microsoft.com], [learn.microsoft.com]
• ✅ REST API integration via HTTP Request node + schema + error handling [learn.microsoft.com], [learn.microsoft.com]
• ✅ Tooling implemented (connector/REST/flow/prompt etc.) [learn.microsoft.com], [learn.microsoft.com]
• ✅ Agent flow automation + monitoring + called from a topic [learn.microsoft.com], [learn.microsoft.com]
• ✅ Published to Teams/M365 Copilot (deployment competency) [learn.microsoft.com], [learn.microsoft.com]

If you want, I can tailor this further

• 6‑week version with explicit revision days + practice test blocks
• A copy/paste tracker (checkboxes + dates + outcomes) for Planner/Excel
• A “skills measured → evidence” matrix (what artifact proves each objective) using the AB‑620 study guide [learn.microsoft.com]