AI in Aerospace & Defence
Redefining Aerospace & Defense through Intelligent Systems
A program built for next-generation A&D leaders who need to deploy AI at the cutting edge of engineering, surveillance, and autonomous operations.
4,000+ AI Roles | Weekend Live Program | Industry Experts | Industry-recognized Certification
About the Course
AI in Aerospace & Defense is an intensive professional certification program that equips engineers, analysts, and program managers with practical AI skills for real-world applications — across aerospace engineering, defense manufacturing, predictive maintenance, and autonomous mission systems.
This is not a theoretical overview. Every session is tied to actual systems, datasets, and decision frameworks used in the A&D sector today — from satellite imagery analysis to UAV navigation and predictive fleet management. You will leave with a portfolio, not just a certificate.
Designed for professionals who want to close the gap between AI potential and defense-sector deployment and be first movers when their organization adopts intelligent systems.
DURATION:
40 HRS
MODE:
LIVE ONLINE
FORMAT:
WEEKEND SESSIONS
BATCH SIZE:
20
COURSE STARTS FROM 9 MAY 2026
Why this program
Stay Ahead in the Age of AI & Autonomous Systems
AI is reshaping every layer of A&D — from design to deployment. Get ahead before it's a prerequisite.
01
Learn What Leading A&D Firms Actually Deploy
Curriculum is built on systems and tools in use at Tier-1 aerospace OEMs and defense contractors today.
02
Accelerate Your Career Trajectory
Domain expertise plus AI fluency is the rarest combination in the job market — and the highest valued.
03
Build a Standout Portfolio
Walk away with guided projects, a capstone, and tangible artifacts that demonstrate applied capability.
04
Domain + AI: The Dual Advantage
Most AI courses ignore domain context. We build on your A&D knowledge to make you exponentially more effective.
05
Key Outcome
Identify high-impact AI use cases in aerospace
Apply AI to improve
operational efficiency
Build and evaluate industry-
relevant AI models
Contribute to digital
transformation initiatives
Course Curriculum
01
Foundations of AI in Aerospace Systems
Part A - AI Fundamentals
Part B - Aerospace Applications Landscape
Part C - Tools Setup
Hands-on Labs:
-
Load aircraft sensor data
-
Data exploration & visualization
-
Simple ML model build
.
03
AI for Manufacturing, Quality & Operations
Part A - Smart Manufacturing
Part B - Quality Analytics
Part C - Operations Optimization
Hands-on Labs:
-
Defect classification dataset
-
Yield prediction model
-
Dashboard with KPIs
Case Study: Composite manufacturing defect detection
02
Data Engineering & Predictive Maintenance
Part A - Data Engineering
Part B - Predictive Maintenance Concepts
Part C - Algorithms
Hands-on Labs:
-
Build failure prediction model
-
Predict engine/component breakdown
-
Accuracy comparison
Case Study: Airline engine maintenance optimization
04
Advanced AI & Generative AI for Engineers
Part A - Advanced Techniques
Part B - Generative AI for Engineers (Huge differentiator)
Part C - Deployment Basics
Hands-on Labs:
-
Fault detection example
-
Build AI maintenance assistant
-
Auto-generate reports
.
05
Advanced AI & Generative AI for Engineers
Learning Objective: Design and deliver an end-to-end AI solution for a real aerospace use case with measurable business impact.
Capstone Projects (teams) -Choose one
-
Engine failure prediction
-
MRO downtime reduction
-
Spare parts forecasting
-
Defect detection system
-
Flight delay analytics
-
Smart quality dashboard
Activities
-
Problem definition
-
Data prep
-
Model build
-
Business impact analysis
-
ROI calculation
FINAL PRESENTATION: DEMO + PANEL FEEDBACK
Certification Criteria
ATTEND
80% SESSIONS
CAPSTONE
SUBMIT CAPSTONE
LABS
COMPLETE LAB
PERFORMANCE
SCRORE ≥ 60%
Required Infrastructure
-
Physical lab not required.
-
Model Building → can be done on Google Colab (cloud-based)
-
Data Analysis → Python + Jupyter (online)
-
ML Demos → Open datasets
-
Vision AI → Pre-recorded industrial examples
Hardik Someshwar
CEO, AeroDef Nexus
22 years in Aerospace & Defense,
enabling innovation through engineering excellence and emerging technologies
Dr. Sagarika Borah
Senior Data Scientist
Expert in Computer Vision, NLP &
Generative AI, and strong experience in industry-focused training
Karthic Ganesh V
AI/ML Engineer
Driving real-time computer vision and autonomous drone solutions for defence surveillance and mission-criticalsystems
Faculty & Industry Experts
READY FOR MISSION LAUNCH?
Join a cohort of A&D professionals building the future of intelligent defense systems. With only 20 seats per batch, this is a high-signal, low-noise learning environment designed for serious practitioners.
MAY 9, 2026
START DATE
WEEKEND
LIVE SESSION
Seats filling fast — batch capped at 20 participants