Go from beginner to advanced in embedded AI and real-time intelligent systems. Build, deploy, and optimize AI models on the edge.
An actionable, industry-aligned roadmap engineered for career transformation.
Compressed learning cycle for maximum retention and skill acquisition.
Go beyond theory with live coding sessions and real-world datasets.
Build a professional portfolio that stands out to top-tier recruiters.
Industry-recognized credentials to validate your Core expertise.
Introduction to Embedded Systems & Edge AI Concepts
Overview of NVIDIA Jetson Platform & Device Setup
Essential Linux Commands for Jetson Environment
Python Setup for Running AI Models
Camera Interface Setup & Capturing Live Video Streams
Phase 2: Model Development - Preparing AI Models for Edge Deployment
Timeline
Phase 21A: Embedded Systems & Edge AI - Jetson setup, Linux essentials, Python environment, camera integration & model development.
Introduction to Computer Vision using OpenCV
Image Processing Techniques - Filtering & Edge Detection
Understanding Pretrained Deep Learning Models
Running AI Models on Jetson - Inference Basics
Object Detection Concepts - YOLO & SSD
Real-Time Video Processing using Camera Feed
Hands-on Lab - Build Real-Time Object Detection System using Live Camera
Timeline
Phase 21C: Computer Vision on Jetson - OpenCV, image processing, pretrained models, inference, object detection & real-time lab project.
Understanding Model Inference on Edge Devices
Performance Optimization - FPS, Latency & Resource Usage
Introduction to Model Acceleration - TensorRT Concepts
Handling Continuous Video Streams in Real Time
Debugging Detection Errors & Improving Accuracy
Mini Project - Smart Traffic Monitoring System (Vehicle Detection & Counting)
Timeline
Phase 21D: Edge AI Optimization - inference, performance tuning, TensorRT acceleration, real-time video handling, debugging & smart traffic monitoring project.
Integrating AI Models with Camera-Based Systems
Event-Based Detection - Intrusion & Motion Alerts
Real-World Use Cases - Surveillance, Smart Systems & Automation
System Performance Optimization for Real-Time Deployment
Testing & Debugging End-to-End Edge AI Systems
Final Project Planning - Use Case Definition & System Architecture
Timeline
Phase 21E: Edge AI Systems — camera integration, event-based detection, real-world use cases, optimization, debugging & final project planning.
Final Project Kickoff - Smart Surveillance System (Intrusion Detection using Live Video)
Data Handling & Model Configuration for Video Streams
Real-Time AI Model Implementation on Jetson
System Testing, Optimization & Accuracy Validation
Deployment & Output Verification on Edge Device
Version Control using Git & GitHub + Project Presentation & Career Guidance
Timeline
Capstone project journey from AI model setup to deployment, version control, and career guidance.
Gain hands-on experience with industry-standard hardware and software for embedded AI.
Real challenges. Real solutions. Your portfolio will feature these production-grade applications.
Detect and classify objects using live camera feed on an edge device.
Learn More arrow_forwardAnalyze vehicle movement and count vehicles using AI-based detection on video streams.
Learn More arrow_forwardBuild an intrusion detection system that identifies unusual activity using real-time video processing.
Learn More arrow_forwardDevelop embedded AI solutions for automation, monitoring, and intelligent decision-making systems.
Learn More arrow_forwardTransforming learners into industry-ready AI professionals.
| Skill Category | Before Pantech | After Internship |
|---|---|---|
| Skill Category | Before Pantech | After Internship |
| Skills | Theoretical AI/ML knowledge |
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Real-world Edge AI deployment expertise
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| Optimization | High-latency inefficient code |
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TensorRT optimized low-latency inferencing
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| Architecture | Basic script execution |
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Professional modular embedded AI pipelines
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| Portfolio | Academic assignments |
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Professional portfolio with 8+ industry projects
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A structured 5-phase journey from fundamental concepts to full-scale deployment.
Understand embedded systems, essential Linux usage, and how AI models run on edge devices.
1Learn to execute and optimize computer vision models on Jetson using real-time inputs.
2Build complete AI-based embedded systems for real-world monitoring and automation use cases.
3Final project presentation, version control practices, and professional career guidance.
4Accelerate your career with a practical, industry-aligned internship program.
Learn from industry experts with practical ML and cloud experience.
Master skills aligned with current industry demands.
Build real-time machine learning projects with guidance.
Access live sessions and recorded content anytime, anywhere.
Validate your skills with a certificate that carries weight. Our credentials are recognized by leading tech firms across the country.
Unique QR code for instant digital verification
LinkedIn-ready digital credential
Increases visibility in recruiter searches
Official seal from Pantech Solutions
Status
Verified Intern
The certificate acknowledges the learner’s participation in structured training, industry‑oriented project development, and practical implementation under professional guidance.
This is to certify that the learner has successfully completed the Certification Program with Pantech. This professional certification formally recognizes the learner’s achievement, confirming their participation in structured training, guided project work, and practical implementation during the program.
A prestigious joint certification from SVNIT and Pantech. Note: Need to pay extra Rs.500 for service charges.
Select the program that matches your career goals and current expertise level.
1 Month - Rs. 999 + GST
Perfect for beginners. Master the core fundamentals and build your first industry-standard projects.
2 Month - Rs. 1899 + GST
For those with basic knowledge. Deep dive into advanced architectures and professional workflows.
3 Month - Rs. 2499 + GST
Designed for final year students and professionals. Focus on deployment, scaling, and leadership.
Our alumni are driving innovation at the world's most prestigious technology and consulting firms.
"The Edge AI Jetson Masterclass was an inspiring and educational experience. Guided by Ms. Indira, the sessions enhanced my knowledge of AI development and provided practical skills for future projects. The program offered valuable insights into cutting-edge AI, combining theory with hands-on learning. I highly recommend this masterclass to anyone interested in AI development on the Jetson platform—it’s an excellent opportunity to learn, grow, and gain confidence in advanced AI technologies."
Edge AI Masterclass Participant
"The Embedded Systems with IoT Solutions course was an excellent experience. I learned a great deal about integrating embedded systems with IoT, thanks to the clear and structured teaching. Mr. Sathish and Mr. Karthik were knowledgeable and passionate, breaking down complex topics into easy-to-understand modules. The sessions were fun, effective, and highly practical, making the learning process both engaging and impactful."
Embedded Systems & IoT Learner
"This course was extremely useful for my studies and future project work. The sessions were engaging, and the trainer explained the concepts very clearly, making the class both interesting and practical. The hands-on activities with electronic components and real-world applications gave me valuable experience that will support my upcoming semester projects. Overall, it was a highly beneficial and motivating learning experience."
Electronics Course Participant
Everything you need to know about the AI Internship program.
We offer flexible durations of 15 days, 1 month, 2 months, or 3 months.
We offer both online and offline modes to suit your convenience.