HYBRID PROGRAM · FULLY ONLINE · HANDS-ON. GUIDED. PROJECT-READY.

Internship & Project Readiness Program

EMBEDDED AI · IOT · 5G TECHNOLOGIES

Flexible fully online program — choose from 1 week intensive to 1 month long tracks across single, dual or triple domains.
A flexible, hands-on online program designed to help students build practical engineering skills in Embedded AI, IoT, and 5G — bridging academic learning and real-world implementation through guided virtual labs, sprint-based project execution and expert mentoring.
1 Week Intensive · 1 Month Long
Single · Dual · Triple Domain Tracks
Fully Online · Live + Self-Paced

PROGRAM STRUCTURE

Three-Stage Learning Journey

Every track — whether 1 week intensive or 1 month long — follows the same proven structure: learn the technology, practice through applied labs, and execute a guided usecase project end-to-end.

01

FOUNDATION

Learn the Technology

  • Core concepts & setup
  • Tools & environment
  • Introductory labs
  • Programming basics

OUTCOME

Strong foundation in technology & workflow

02

APPLIED LABS

Practice & Build

  • Hands-on virtual labs
  • Experiments & workflows
  • Guided implementation
  • Debugging & testing

OUTCOME

Practical engineering & experimentation skills

03

GUIDED PROJECT EXECUTION

Apply, Execute & Innovate

  • Sprint-based project execution
  • Mini-projects & capstone
  • Git-based collaboration
  • Expert reviews & mentorship
  • Project documentation

OUTCOME

Strong foundation in technology & workflow

25 Hours

Live Online Sessions

Technical lectures & demos, hands-on walkthroughs, mentoring & reviews, expert interaction sessions.

25 Hours

Self-Paced Labs & Project Work

Virtual labs & experiments, guided implementation tasks, sprint-based project execution, documentation & reporting.

Mode — Fully Online

Work from home or college lab. Fully configured IICT Virtual Lab with onboarding, software access & mentoring throughout.

WHAT YOU GET

Everything included in the program

Live Technical Sessions

Hands-on Virtual Labs

Guided Implementation & Exercises

Project Management with Git & Tools

Expert Mentoring & Support

Participation Certificate

PROGRAM FLEXIBILITY

Choose Your Duration & Domain Mix

Students and institutions can customize the journey based on academic interests, available time, project goals and career direction — from a 1-week intensive single-domain sprint to a 1-month long triple-domain track.

DURATION OPTIONS

Intensive

1 Week Intensive

Compressed daily schedule — ideal for semester breaks, vacation cohorts and fast-track upskilling.

Extended

Up to 1 Month Long

Spread sessions across weeks — fits alongside ongoing academic semesters, internships or research work.

DOMAIN TRACK OPTIONS

Single Domain

50 Hours

Pick 1 of Embedded AI · IoT · 5G

Dual Domain

100 Hours

Combine any 2 domains

Triple Domain

150 Hours

All three domains end-to-end
Not sure which track fits? Our team will help you choose the right duration and domain combination based on your academic calendar, project goals and cohort size.

SAMPLE SCHEDULE · REFERENCE ONLY

Example: 2-Week · 50-Hour Single Domain Track

The day-by-day plan below is one example of how a single-domain 50-hour track can be delivered over 2 weeks. The same content can be compressed into a 1-week intensive or extended across up to 1 month — and combined into dual or triple domain tracks. Final schedules are tailored per cohort.

EMBEDDED AI & AIOT

AI: Embedded AI and Artificial Intelligence of Things (AIoT)

2-Week Intensive Program Schedule · 50 Hours · Fully Online

WEEK 1 — FOUNDATION & APPLIED LABS

Day 1

Module 1: Introduction to AIoT and Edge Intelligence

  • Block 1 — Foundations of Edge AI and IoT
  • Block 2 — Building and Evaluating AIoT Systems
  • Block 3 — The AIoT Pipeline and Tools
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 2

Module 2: Machine Learning for Embedded Sensor

  • Block 1 — Foundations of Embedded ML
  • Block 2 — From Sensors to Features
  • Block 3 — Feature Analysis
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 3

Module 3: Sensor Integration and Data Acquisition

  • Block 1 — From Sensors to Data
  • Block 2 — Data Acquisition and Communication
  • Block 3 — Sensor Integration (I²C/SPI)
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 4

Module 4: Deploying and Testing AI on Microcontrollers

  • Block 1 — From Training to Deployment
  • Block 2 — Setting Up and Running the Inference Loop
  • Block 3 — Validation and Performance Testing
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 5

Module 5: Wireless Communication and Low-Power

  • Block 1 — Connectivity and Energy Trade-offs
  • Block 2 — Low-Power Design and Configuration of IoT Devices
  • Block 3 — Wireless Strategies for Smart AIoT Nodes
5 Hours · 2.5 Live + 2.5 Self-Paced

WEEK 2 — GUIDED USECASE PROJECT EXECUTION

Day 6

Sprint 1 — Sensor Calibration & Data Sampling

  • Project kickoff and planning
  • Sensor calibration
  • Data collection & sampling setup
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 7

Sprint 2 — Data Collection & Preprocessing

  • Data cleaning & preprocessing
  • Feature preparation
  • Dataset validation
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 8

Sprint 3 — Model Training, Optimization & Conversion

  • Model training on collected data
  • Optimization for edge deployment
  • Model conversion & quantization
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 9

Sprint 4 — Edge Deployment & Validation

  • Deploy model on edge device
  • Run inference & validate results
  • Performance and stability testing
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 10

Final Review & Project Demonstration

  • Project review and debugging
  • Results presentation
  • Documentation & feedback
5 Hours · 2.5 Live + 2.5 Self-Paced

INTERNET OF THINGS (IOT)

IoT: Programming End to End Wireless IoT Systems & Applications

2-Week Intensive Program Schedule · 50 Hours · Fully Online

WEEK 1 — FOUNDATION & APPLIED LABS

Day 1

Module 1: Introduction to the Hands-on Lab and Tools

  • Lab 1 — Managing the Linux Environment
  • Lab 2 — Version Control with Git
  • Lab 3 — Automation with Python
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 2

Module 2: IoT Protocols and Interoperability

  • Lab 1 — Protocol Analysis
  • Lab 2 — MQTT Publish and Subscribe
  • Lab 3 — REST and Interoperable IoT Modules
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 3

Module 3: Programming and Configuring Embedded Systems for Wireless IoT

  • Lab 1 — Register-Based Configuration
  • Lab 2 — HAL-Based Configuration
  • Lab 3 — HAL-Based Application
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 4

Module 4: Sensor Integration

  • Lab 1 — Talking to a Modem (Serial Communication via Python)
  • Lab 2 — Reading Data from an Accelerometer via I²C/SPI
  • Lab 3 — Modeling and Visualizing Sensor Data with OPC-UA
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 5

Module 5 & 6: Wireless Communication, Monitoring & Visualization

  • Analyzing Wireless Performance & MIOTY Stack
  • Managing Data Persistence and Storage
  • Real-Time Visualization Dashboards & Logging
5 Hours · 2.5 Live + 2.5 Self-Paced

WEEK 2 — GUIDED USECASE PROJECT EXECUTION (IOT-BASED SMART CITY)

Day 6

Sprint 1 — Network & System Setup

  • Project introduction & sprint planning
  • IoT architecture setup
  • Communication workflow configuration
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 7

Sprint 2 — Data Integration & Persistence

  • Sensor data acquisition & backend integration
  • Data persistence workflows
  • Database connectivity
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 8

Sprint 3 — Visualization & Dashboard Development

  • Dashboard implementation
  • Real-time visualization & monitoring interface
  • KPI visualization workflows
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 9

Sprint 4 — Scalability & Performance Evaluation

  • Wireless performance analysis
  • Timing & scalability evaluation
  • Optimization workflows & technical review
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 10

Final Review & Project Demonstration

  • Project finalization
  • Documentation & Git submission
  • Technical presentation & expert feedback
5 Hours · 2.5 Live + 2.5 Self-Paced

5G & NEXT-GENERATION CONNECTIVITY

5G: Systems Programming and Use Case Development

2-Week Intensive Program Schedule · 50 Hours · Fully Online

WEEK 1 — FOUNDATION & APPLIED LABS

Day 1

Module 1: Introduction to the Hands-on Lab and Tools

  • Lab 1 — Managing the Linux Environment
  • Lab 2 — Version Control with Git
  • Lab 3 — Automation with Python
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 2

Module 2: 5G Infrastructure Setup for Private Networks

  • Lab 1 — Setting Up and Exploring the 5G Core
  • Lab 2 — Inspecting and Monitoring 5G Network Health
  • Lab 3 — REST APIs for 5G Network Services
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 3

Module 3: Configuration and Programming of 5G End Devices

  • Lab 1 — Modem Interfaces and Configuration
  • Lab 2 — AT Command Emulation and Internal Stack Programming
  • Lab 3 — Simulating 5G End Devices with UE Emulation
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 4

Module 4: 5G Signalling and Network Deployments

  • Lab 1 — Analyzing 5G Signalling
  • Lab 2 — KPI Analysis and Network Evaluation
  • Lab 3 — CNSS Integration and Map-Based Analysis
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 5

Module 5: Data Communication with 5G Devices

  • Lab 1 — Client-Server Communication and Protocol Analysis
  • Lab 2 — Containerized Network Applications
  • Lab 3 — Data Communication over 5G
5 Hours · 2.5 Live + 2.5 Self-Paced

WEEK 2 — ADVANCED LABS & GUIDED USECASE PROJECT

Day 6

Module 6: Network Interfaces and Testing for 5G Devices in Linux

  • Lab 1 — Kernel Monitoring and Driver Communication
  • Lab 2 — Advanced Networking and Linux Tools
  • Lab 3 — Network Testing and Performance Analysis
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 7

Module 7: Guided Project — 5G Video Surveillance (Sprint 1)

  • Core Communication and Video Streaming
  • Project kickoff & planning
  • Video streaming setup & core communication workflow
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 8

Sprint 2 — 5G Network Integration

  • Integrate with 5G network
  • Test connectivity and data flow
  • Troubleshooting & validation
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 9

Sprint 3 — Metrics Logging and Visualization

  • Log performance metrics
  • Real-time visualization
  • Dashboard development
5 Hours · 2.5 Live + 2.5 Self-Paced

Day 10

Sprint 4 — Scalability and Network Testing (Advanced Phase)

  • Scalability testing
  • Advanced network testing
  • Project review and presentation
5 Hours · 2.5 Live + 2.5 Self-Paced

Program Outcomes — 5G & Next-Generation Connectivity

  • Understand 5G architecture, protocols and signalling
  • Configure & program 5G end devices
  • Analyze 5G network performance & KPIs
  • Implement data communication with 5G devices
  • Execute a real-world 5G video surveillance use case
  • Become project-ready for internships & academic projects

Who Can Join?

  • B.Tech / BE Students (S3–S8)
  • M.Tech Students
  • Research Scholars
  • Academic Project Groups
  • Internship Seekers

SUITABLE BRANCHES

CSE

AI&DS

ECE

EEE

ETE

AEI

Robotics

Automation

Key Takeaways

  • Industry-relevant skills
  • Real project experience
  • Build strong portfolio
  • Boost academic & career readiness
  • Internship & Project Readiness Participation Certificate

Ready to become project-ready?

Request pricing & registration details, enroll in the next cohort, or bring this program to your institution.