Agentic AI Intensive
Study Guides & Resources
Core Framework Study Guides
My Daily Course Study Guides
Week 1
Nov 4 (Tue)
Week 2
Deadlines & Schedule
Course Timeline Overview

Start: November 4, 2025
End: December 4, 2025
Duration: 4 weeks
Weekly Schedule & Milestones
1
Week 1
(Nov 4-10): Live session Tuesday Nov 4, asynchronous work Wed-Thu
2
Week 2
(Nov 11-17): Live session Tuesday Nov 11, asynchronous work Wed-Thu
3
Week 3
(Nov 18-24): Live session Tuesday Nov 18, asynchronous work Wed-Thu
4
Week 4
(Nov 25-Dec 1): Live session Tuesday Nov 25, asynchronous work Wed-Thu
5
Final Week
(Dec 2-4): Final deliverables due
Key Deliverables
Ensure all deliverables are submitted on time through the HDSR Portal.
DAIR Strategy deliverable
Due December 4, 2025
AGENT Framework deliverable
Due December 4, 2025
Optional Implementation Sprint Plan
Due December 4, 2025
Agentic AI Intensive: Student Reference Guide
Course Overview
  • Dates: November 4 – December 4, 2025
  • Format: Live Tuesday sessions, asynchronous modules, hands-on labs, personalized coaching via Builder Labs
Key Frameworks
  • AI readiness assessment
  • Opportunity identification
  • System design
  • Change management
  • Measurement frameworks
Certificate Requirements
  • Successful submission of strategic deliverables
  • Mastery of course frameworks
Faculty & Support Contacts
  • Lead Faculty: Prof. Xiao-Li Meng (Harvard Data Science Review)
  • Co-Lead: Dr. Stephanie Dick (University of Pennsylvania)
  • Support Teams:
  • AI Campus Learning Team
  • Paski Teaching Team
  • Builder Labs mentors
Agentic AI Intensive: Student Cheat Sheet
Course Overview
This cheat sheet provides quick reference information for the Agentic AI Intensive course, covering key dates, format, faculty, and core frameworks.
Key Dates & Format
  • Dates: November 4 – December 4, 2025
  • Format: Live Tuesday sessions, asynchronous modules, hands-on labs, personalized coaching (via Builder Labs).
Certificate & Requirements
  • Awarded: Upon successful submission of strategic deliverables.
  • Mastery: Demonstrate mastery of course frameworks.
Faculty & Support
  • Lead Faculty: Prof. Xiao-Li Meng (Harvard Data Science Review)
  • Co-Lead: Dr. Stephanie Dick (University of Pennsylvania)
  • Support Teams: AI Campus Learning Team, Paski Teaching Team, Builder Labs mentors.
Core Frameworks
The intensive covers foundational frameworks for AI readiness and system implementation:
DAIR Model
Purpose: Organizational AI Readiness
Phases: Discover → Audit → Insight → Readiness
Focus: Evaluate organizational AI maturity (leadership, culture, data infrastructure, governance).
Outputs: Readiness Scorecard, strategic action plan.
AGENT Method
Purpose: Agentic AI System Implementation
Phases: Audit → Gauge → Engineer → Navigate → Track
Focus: Systematic design, governance, and scaling of AI workflows.
Outputs: Workflow diagrams, governance matrices, role definitions, risk registers (with human-in-the-loop controls).
Additional Frameworks
  • AI readiness assessment
  • Opportunity identification
  • System design
  • Change management
  • Measurement frameworks
Course Frameworks & Deliverables: Student Cheat Sheet
AGENT Method: Core Implementation Steps
01
1. AUDIT: Discover & Assess
Map AI maturity. Complete initial DAIR inputs to establish baseline capabilities.
02
2. GAUGE: Opportunity Identification
Conduct value-chain mapping. Select high-impact workflows for agentic AI implementation.
03
3. ENGINEER: System Design
Build AGENT framework: orchestration patterns & governance structures.
04
4. NAVIGATE: Change Management
Design human-agent interfaces. Ensure policy alignment across stakeholder groups.
05
5. TRACK: Measurement & Scale
Establish KPI tracking. Create iteration loops for continuous improvement.
Certification Deliverables Checklist
1
1. Agentic AI Strategy (DAIR)
Requirements: 3–5 page organizational readiness assessment. Maps leadership, data capability, culture, & governance. Includes actionable recommendations.
2
2. Agentic AI Framework (AGENT)
Requirements: 4–6 page technical implementation plan. Includes workflow diagrams, governance matrix, roles & responsibilities, risk register, & pilot use case.
3
3. Implementation Sprint Plan (Optional)
Requirements: 1–2 page execution roadmap. Defines timeline, resource allocation, & KPIs for pilot project.

Submission Deadline: December 4, 2025.
How to Submit: Through the HDSR Portal.
Certification Issuance: Upon successful review demonstrating alignment with course frameworks, practical applicability, and evidence of human-in-the-loop governance.