Go from beginner to advanced in Intelligent Connected Devices and Embedded AI with a comprehensive roadmap spanning 15 days to 3 months.
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 IoT Architecture & Embedded Systems
Overview of Microcontrollers - Arduino & ESP32
Sensor Basics - Temperature, Motion & Light Sensors
Embedded Programming Basics for Device Control
Data Acquisition from Sensors & Serial Monitoring
Timeline
Phase 22A: IoT Foundations - architecture, microcontrollers, sensors, embedded programming & data acquisition.
Interfacing Sensors with Microcontroller
Reading & Processing Sensor Data
Introduction to Communication Protocols - Wi-Fi & MQTT (Conceptual)
Sending Data to Cloud / Local Server
Data Logging & Monitoring Systems
Working with Real-Time Sensor Streams
Hands-on Lab Build Smart Environmental Monitoring System (Temperature & Humidity Tracking)
Timeline
Phase 22B: IoT Networking & Cloud Integration - sensor interfacing, data processing, communication protocols, cloud/server integration, logging, real-time streams & smart monitoring project.
Introduction to AI in Embedded Systems
Processing Sensor Data for Decision Making
Rule-Based Automation vs Basic ML Models
Implementing Threshold-Based Intelligent Systems
Introduction to Edge Processing for IoT Devices
Mini Project - Smart Energy Management System (Power Usage Optimization)
Timeline
Phase 22C: AI in Embedded IoT - sensor data processing, rule-based vs ML, threshold systems, edge processing & smart energy management project.
Integrating Sensors, Controllers & Output Devices (LED, Buzzer, Relay)
Event-Based Automation Systems - Motion Detection & Alerts
Designing End-to-End IoT Systems
Debugging Hardware & Communication Issues
Real-World Use Cases - Smart Home & Industrial Monitoring
Final Project Planning - Use Case Definition & Hardware Architecture
Timeline
Phase 22D: IoT Systems Integration - sensors & outputs, event-based automation, end-to-end design, debugging, real-world use cases & final project planning.
Final Project Kickoff - Smart Industrial Monitoring System (Anomaly Detection using Sensor Data)
Sensor Data Collection & System Setup
AI Logic Implementation for Anomaly Detection
System Testing, Calibration & Optimization
Deployment & Real-Time Monitoring Validation
Version Control using Git & GitHub + Project Presentation & Career Guidance
Timeline
Capstone project journey from sensor data setup to anomaly detection, deployment, and career guidance.
Master the hardware and software tools used by industry leaders to build next-generation intelligent systems.
Real challenges. Real solutions. Your portfolio will feature these production-grade applications.
Monitor temperature and humidity in real-time using sensors and display trends for data-driven insights.
Learn More arrow_forwardDetect abnormal conditions in industrial environments using sensor data and trigger automated alerts.
Learn More arrow_forwardAnalyze power usage data and implement logic to optimize energy consumption automatically.
Learn More arrow_forwardDevelop intelligent systems for automation, monitoring, and predictive maintenance in various sectors.
Learn More arrow_forwardTransforming learners into industry-ready AI professionals.
| Skill Category | Before Pantech | After Internship |
|---|---|---|
| Skill Category | Before Pantech | After Internship |
| Skillset | Theoretical knowledge of IoT and basic programming. |
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Expertise in AI-enabled embedded systems and real-time sensor processing.
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| Portfolio | Empty GitHub profile without technical projects. |
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Showcase of 8+ LIVE projects including smart industrial monitoring and energy systems.
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| Career | Unsure about entry-level roles in deep tech. |
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Ready for roles in Data Analysis, ML, and Embedded AI engineering.
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A step-by-step progression from foundational electronics to advanced intelligent systems.
Understand microcontrollers, sensors, communication protocols, and real-time data acquisition.
1Learn to process sensor data and apply AI models for intelligent decision-making.
2Build complete AI-enabled IoT systems for monitoring, automation, and predictive applications.
3Project testing, presentation on GitHub, and career counseling for AI and Data Science roles.
4Our structured learning environment ensures you don't just learn, but build and deploy.
Apply deep learning and AI models to real-world datasets and sensor hardware.
Learn from industry experts with years of practical ML and cloud experience.
Complete exercises involving neural networks, microcontrollers, and real-time processing.
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.
Yes, the program starts from foundational IoT concepts and progresses to advanced AI integration.
Offline participants will have access to our labs and hardware kits including Arduino, ESP32, and various sensors.
It validates your skills in both Machine Learning and Cloud-Based AI, making you a versatile candidate for the job market.