⬡ Overview
🗺 Course Map
🎤 Present
💼 Impact
⚠️ Risk
🔭 Future
◇ Check
🎓 Graduate
0 / 5
Capstone · Module 16 · BAA 16.0

Final Presentation &
Future of Agentic AI

You've built agents. You've secured them, scaled them, monitored them. Now you present them — and look forward at what comes next. This module is the finish line and the launch pad. You'll synthesize everything the course covered, demonstrate your prototype to a real audience, and develop a point of view on where Agentic AI is heading.

🗺
Course Synthesis
See how all 15 modules connect into a single coherent agent-building framework.
🎤
Final Presentation
Build and preview your structured demo pitch: workflow, challenge, and business value.
💼
Business Impact
Score your agent across 5 business dimensions and generate a radar assessment.
⚠️
Risk Matrix
Plot your agent's risks by likelihood × impact and map mitigation strategies.
🔭
Futures Explorer
Six emerging developments in Agentic AI — from multi-agent systems to autonomous research.
Module Roadmap
1
Course Synthesis — How It All Connects
Every module mapped to the agent-building framework, in one view
2
Build Your Final Presentation
Complete the 5-section pitch structure — workflow, challenge, and business case
3
Business Impact Evaluation
Score your agent across ROI, scalability, time-to-value, risk, and differentiation
4
Risk & Scalability Assessment
Plot your agent's key risks on a likelihood × impact matrix
5
Futures Explorer — 6 emerging developments
Explore what Agentic AI looks like in 12, 24, and 36+ months
—
Final Knowledge Check · 7 questions
The Full Picture

15 Modules. One Framework.

Every lab you completed fits into one of five phases of the agent-building lifecycle. Expand each phase to see how the modules connect — and which core principle each one taught.

💡 Why this matters for your presentation: When you explain your agent, you're not just describing a tool — you're describing a system that spans all five phases. Reviewers who understand Agentic AI will ask about design decisions from every layer.
The Agent Ecosystem — All Concepts Connected
🔮 The through-line: Every module feeds the same central insight — an agent's intelligence is not in the model. It's in how the model is orchestrated, constrained, evaluated, and improved. The model is the engine. Everything you built in this course is the vehicle.
Section 02 · Final Presentation

Build Your Demo Pitch

A great agent demo has five components. Fill them all out — the slide preview updates live as you type. When presenting, you have 4 minutes: 30 seconds per section with 1.5 minutes for live demo. Practice the flow before you get in front of the room.

⏱ 4-minute demo structure: Agent name & one-line purpose (30s) → Live workflow walkthrough (90s) → One challenge overcome (45s) → Business value + metrics (30s) → Q&A setup (15s)
Section 03 · Business Impact Evaluation

Score Your Agent's Impact

Before presenting to stakeholders, you need a clear-eyed assessment of your agent's business value. Rate your agent across 5 dimensions using the sliders. Your scores generate a radar chart — the visual you'd show to a CFO or VP who wants the business case in 30 seconds.

Impact Radar
Section 04 · Risk & Scalability Assessment

Map Your Risk Matrix

Every agent carries risks. The matrix below plots 8 common agent risks by likelihood (x-axis) vs. impact (y-axis). Hover any risk dot to read the description and mitigation. For your presentation, identify which 2 risks are most relevant to your agent and how you've addressed them.

⚠️ Presenting risk isn't weakness — it's credibility. Stakeholders who've been burned by AI projects know every system has risks. The teams that pre-empt the risk questions with clear mitigations are the teams that get funded and deployed.
↑ Impact
Likelihood →
Which of these mitigation strategies best describes your approach to the highest-impact risk in your agent?
Section 05 · Looking Forward

The Next Wave of Agentic AI

The agents you built in this course represent the current frontier. But the frontier is moving. Explore 6 developments that will reshape what agents can do — and what you'll need to know to build with them. Open each card, read the outlook, and answer the discussion question.

🔮 Discussion questions have no single correct answer — they're designed to surface the tension between capability and risk, speed and reliability, autonomy and oversight. Your goal is to articulate a defensible position, not find the textbook answer.
0 / 6 topics explored
Final Knowledge Check

7 Questions

Covering the full course arc: agent design, evaluation, scalability, monitoring, ethics, and the future. 70% to pass.

Question 1 of 7Score: 0 / 0