Day 1
Understand
8 hours
Agentic AI Revolution & Foundations
- Evolution of AI
- Agent fundamentals
- Enterprise opportunities
- Use cases in education
Designed for academia.
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Powered by deep tech.
5 DaysIntensive programme
40 HoursInstruction & labs
1 CapstoneEvaluated team project
2 ModesOn-campus or live online
CertificateIDTE · Armour1X LLP
Programme overview
Equip educators to teach, build and govern Agentic AI
A practice-oriented Faculty Development Programme that equips educators with the knowledge, skills and teaching resources to understand, design, build and apply Agentic AI systems in education, research and industry — grounded in the framework of the book The Agentic Enterprise Revolution.
- Understand how AI is moving from generating content to planning, deciding and acting.
- Build working agents and multi-agent workflows in guided, hands-on labs.
- Teach with ready lesson plans, lab exercises and assessment rubrics for your own courses.
Duration
5 days · 40 hours8 hours per day
Mode
On-campus or live onlineInteractive, instructor-led
Dates
FlexibleInstitutional or open batches
Provider
IDTEAn initiative of Armour1X LLP
Certificate
IDTE · Armour1X LLPOn meeting completion requirements
Fee
₹50,000 per participantIncludes learning material, labs and certification
5-day curriculum
The 5-day learning journey (40 hours)
Each day builds on the last — understand, architect, build, apply and govern, then teach. Open any day to see its modules, hands-on practice and deliverable.
Day 1 · Understand · 8 hours
The Agentic AI Revolution & Foundations
Core topics
- AI evolution
- AI fundamentals
- Generative AI vs Agentic AI
- Agent concepts
- Opportunities and limits
- Education and enterprise use cases
Practical output
Use-case map and agent opportunity statement
Day 2
Architect
8 hours
Agent Design & Multi-Agent Systems
- Agent architecture
- Planning & memory
- Orchestration
- Enterprise integration
Day 2 · Architect · 8 hours
Agent Design, Multi-Agent Systems & Orchestration
Core topics
- Agent anatomy
- Instructions and context
- Planning and memory
- Tool use
- Multi-agent patterns
- Enterprise architecture
- Human oversight
Practical output
Agent design canvas and orchestration diagram
Day 3
Build
8 hours
Hands-on Agentic AI Development
- Tool-using agents
- Knowledge sources
- Multi-step workflows
- Testing
Day 3 · Build · 8 hours
Hands-on Agentic AI Development
Core topics
- Build a working agent
- Connect tools and data
- Multi-step workflows
- Retrieval and context
- Testing
- Observability
- Iteration
Practical output
Working prototype and test log
Day 4
Apply & Govern
8 hours
Industry Applications & Responsible AI
- Manufacturing
- Cybersecurity
- Healthcare
- Governance, privacy & security
Day 4 · Apply & Govern · 8 hours
Enterprise Applications and Responsible AI
Core topics
- Industry cases
- Privacy and security
- Governance and compliance
- Evaluation
- Performance and cost
- Failure handling and escalation
Practical output
Risk register, evaluation plan and deployment recommendation
Day 5
Transform & Teach
8 hours
Capstone & Faculty Enablement
- Team project & demonstration
- Teaching plans
- Assessment rubrics
- Action roadmap
Day 5 · Transform & Teach · 8 hours
Capstone, Teaching Enablement & Roadmap
Core topics
- Team project
- Lesson-plan development
- Assessment rubrics
- Teaching demonstrations
- Institutional roadmap
- Final presentations
Practical output
Capstone demonstration and reusable teaching pack
How the 40 hours are spent
- 12hrsConcept sessions and instructor-led discussions
- 14hrsDemonstrations and guided labs
- 6hrsIndustry case studies and design workshops
- 6hrsCapstone development and mentoring
- 2hrsAssessment, presentations and feedback
Want the detailed 40-hour syllabus? We'll send the session-by-session schedule with the brochure.
Request detailed syllabus
Programme highlights
What makes this FDP different
40 hoursIntensive learning
Hands-onAgent development
Multi-agentArchitecture exercises
IndustryCase studies
Responsible AIAnd security
Teaching resourcesFaculty-ready
CapstoneEvaluated project
CertificateOf successful completion
Learning outcomes
Participants will be able to:
- Explain the evolution from traditional software and generative AI to agentic and multi-agent systems.
- Describe agent components, tools, memory, planning, reasoning, execution and feedback.
- Design a basic agent workflow and evaluate it for reliability, usefulness and risk.
- Map Agentic AI opportunities to academic and industry use cases.
- Create a lesson plan, lab exercise, assessment rubric and capstone brief for learners.
- Present an Agentic AI teaching or institutional adoption roadmap.
Hands-on labs
Learn by building
Guided builds that turn concepts into working systems — and into lab exercises you can take back to your own students.
Lab 01
Research Agent
Build a tool-using agent that finds, reads and summarises sources for a research question.
Lab objectives
- Define an agent's goal, tools and stopping conditions
- Connect a knowledge source and cite what the agent uses
- Evaluate the quality and reliability of its answers
Lab 02
Multi-Agent Workflow
Orchestrate specialised agents that plan, research and review a multi-step task together.
Lab objectives
- Assign clear roles to cooperating agents
- Design hand-offs, shared memory and orchestration
- Handle failures, retries and human checkpoints
Lab 03
Industry Solution
Apply an agentic pattern to a manufacturing, cybersecurity or healthcare scenario.
Lab objectives
- Frame an industry problem as an agentic workflow
- Choose and justify an architecture pattern
- Weigh performance, cost and integration constraints
Lab 04
Governance Exercise
Review an agentic system for privacy, security and governance risks before it goes live.
Lab objectives
- Identify privacy, data and security risks
- Define guardrails and human-oversight points
- Map controls to a responsible AI framework
Capstone project
The Agentic Enterprise Capstone
Working in teams, participants design, build and present an agentic solution to a real education or industry problem — bringing together everything from the five days. Example capstones:
- A research-assistant agent that searches approved sources, summarises evidence and cites references for faculty review.
- A student-support agent that answers from approved institutional material and escalates sensitive or uncertain requests.
- A multi-agent industry case study with separate research, analysis, validation and reporting roles.
- An AI governance teaching module with scenario-based exercises and a practical assessment rubric.
What every participant takes away
- Agent design canvas
- Lab artefacts
- Risk & evaluation checklist
- Teaching lesson plan
- Assessment rubric
- Capstone presentation
Who should attend
Built for educators across disciplines
Engineering faculty
Bring agentic systems into core engineering courses.
CS / IT faculty
Teach agent architecture, tools and multi-agent design.
Management faculty
Lead AI strategy and enterprise transformation cases.
Research scholars
Apply agentic methods in research workflows.
Institutional leaders
Plan responsible AI adoption across campus.
Trainers & curriculum designers
Design agentic AI modules, labs and rubrics.
Interdisciplinary faculty
Apply agentic AI in your own domain.
Academic administrators
Understand governance, privacy and policy.
Nominating a group from your department? We can run a dedicated batch for your institution.
Make an institutional enquiryFaculty & expert speakers
Srinivas Mahankali
Co-author, The Agentic Enterprise Revolution · Founder & CEO, Armour1X LLP
Leads Armour1X's work across AI, cybersecurity and deep-tech ecosystems, and has authored books and whitepapers on agentic AI, trust infrastructure and cyber-physical security.
View LinkedInArchana Makkimane
Co-author, The Agentic Enterprise Revolution · Technology Leader
Brings the book's frameworks for agent design, orchestration and governance into the classroom, connecting enterprise practice with how it can be taught.
Industry & academic experts
Guest sessions
Practitioners in AI architecture, cybersecurity and education technology join as guest speakers. Confirmed speakers are announced with each batch schedule.
THE
Agentic Enterprise Revolution
How Intelligent AI Systems Are Reshaping Industries, Governments, Startups, and Everyday Life
Archana Makkimane · Srinivas Mahankali
Book foundation
Grounded in The Agentic Enterprise Revolution
How Intelligent AI Systems Are Reshaping Industries, Governments, Startups, and Everyday Life
The programme follows the book's arc — from understanding the agentic shift, to architecting and building agent systems, applying them in industry with responsible governance, and finally transforming how institutions teach.
- Understand
- Architect
- Build
- Apply & Govern
- Transform & Teach
Fee & enrolment
Reserve your seat
Register below. Before you pay, we confirm your seat, the final amount payable including any applicable taxes, and the cancellation and refund terms.
Flagship FDP
Programme fee
₹50,000
per participant · 5 days · 40 hours
Included
- Programme instruction and learning materials
- Practical exercises and capstone evaluation
- Participant handbook and teaching resources
- Certificate, subject to completion requirements
- Networking with participating faculty and professionals
Applicable taxes, and any travel, accommodation, meals or third-party AI tool / API charges, are set out in your enrolment terms before payment.
Enrolling a group? Ask about institutional enrolment
How enrolment works
- RegisterSubmit the form with your details and preferred mode.
- ConfirmationWe confirm your batch, the final amount payable with taxes, and the cancellation and refund terms.
- PaymentPay by invoice or payment link — individually or through your institution.
- Seat confirmedYou receive payment confirmation and joining details.
Registration
Fields marked * are required.
Certification
Certificate of successful completion
Issued by IDTE — Institute of Deep Tech Engineering, an initiative of Armour1X LLP.
Eligibility
Faculty members, research scholars, academic leaders and curriculum designers from any discipline.
Attendance
At least 80% attendance across the five days (recommended standard, subject to final IDTE policy).
Assessment
A 60% overall score across labs, design work, the capstone and the teaching plan — see the assessment weighting.
Completion
Participants who meet the attendance and assessment requirements receive the IDTE–Armour1X LLP completion certificate.
How the FDP fits the IDTE certification pathway
- Level 1CAAPCertified Agentic AI Practitioner4 weeks₹4,999
- Level 2CAADCertified Agentic AI Developer8 weeks₹9,999
- Level 3CAAACertified Agentic AI Architect12 weeks₹19,999
- Level 4CCAOCertified Chief Agentic Officer12 weekend sessions₹49,999
The FDP equips faculty and trainers to teach Agentic AI, facilitate labs and supervise capstones, and institutions can use FDP-trained faculty to support CAAP and CAAD learning activities, subject to IDTE faculty authorisation and quality standards. The FDP is not a prerequisite for the certifications and does not automatically confer them — each credential requires its own assessment.
See the full pathway
Institutional programmes
Bring the FDP to your campus
For colleges, universities and corporate learning teams that want to build agentic AI capability across a whole department or faculty.
- A dedicated batch for your faculty
- On-campus or live online delivery
- Scheduling around your academic calendar
- Institutional nomination and invoicing
FAQs
Frequently asked questions
Who is this programme for?
Faculty from engineering, CS/IT, management and other disciplines, research scholars, academic leaders, trainers, curriculum designers and administrators who want to understand, teach and apply Agentic AI.
Do I need programming experience?
Programming experience helps during the Day 3 build, but the hands-on sessions are guided and the programme is designed for faculty across disciplines. If you're unsure, mention your background in the registration form and we'll advise.
How is the programme delivered?
Over five days (40 hours), either on-campus or live online with interactive, instructor-led sessions. Dates are flexible — run as an institutional batch or as an open batch.
What does the ₹50,000 fee include?
Programme instruction and learning materials, practical exercises and capstone evaluation, the participant handbook and teaching resources, the certificate (subject to completion requirements) and networking with other participants. Applicable taxes and any travel, accommodation, meals or third-party AI tool / API charges are set out in your enrolment terms before you pay.
How do I enrol and pay?
Submit the registration form. We then confirm your batch, the final amount payable including taxes, and the cancellation and refund terms. Payment is made by invoice or payment link — individually or through your institution — and your seat is confirmed once payment is received.
What is the cancellation and refund policy?
The cancellation and refund terms for your batch are shared with your confirmation, before any payment is made.
Will I receive a certificate?
Yes. Participants who meet the attendance requirement and complete the evaluated capstone receive a certificate of successful completion from IDTE, an initiative of Armour1X LLP.
Can our institution host a dedicated batch?
Yes. We run dedicated on-campus or live online batches for colleges, universities and corporate teams. Make an institutional enquiry with your approximate number of participants.
Have another question? Ask us with the enquiry form