Advanced Diploma in Embedded AI with Robotics Applications
Duration – 300 hrs. 4hrs/day
Modules
Core Programming
- Mastering C Programming
- DSA & Competitive Problem Solving in C Mastering OOP using C++
Core Engineering
- Electronics & Hardware Familiarization ARM Cortex-M Architecture & Embedded C
- Embedded Protocols & Driver Development
- Linux System Programming
Specialization 1 · Operating Systems
- Linux Device Driver & Kernel
- Embedded RTOS (FreeRTOS) Firmware Programming
Specialization 2 · AI/ML
- Machine Learning Fundamentals & Advanced ML
- Deep Learning using TensorFlow
- Natural Language Processing
- Generative AI & Agentic AI
Specialization 3 · Edge AI with Robotics
- Computer Vision & Robotics using Raspberry Pi
Tools / Software / Hardware
Programming & Competitive Coding
- HackerRank / LeetCode / CodeChef
- Code: Blocks, VS Code, Dev-C++
Embedded & OS
- Keil µVision, LPC1768 Development Board
- FreeRTOS, Ubuntu / Linux Environment
AI / ML / Deep Learning
- Python (Scikit-learn, Pandas, NumPy, Jupyter/Colab)
- TensorFlow / PyTorch / Keras / OpenCV
- NLTK, Spacy, Gensim, HuggingFace Transformers
- HuggingFace, LangChain
Edge AI & Robotics
- Raspberry Pi 4 (Raspberry OS)
- OpenCV, TensorFlow Lite, IoT Cloud platforms
Pre-requisites
- Basic computer and operating system knowledge
- Basic understanding of electronics fundamentals
- Logical thinking and problem-solving skills
- No prior embedded or AI experience required
Project Streams
- Machine learning models: regression, classification, clustering
- Electronics and digital circuits
- Embedded systems and RTOS projects
- Linux system programming
- Deep Learning: ANN, CNN, RNN
- Natural Language Processing
- Generative and Agentic AI
- Computer Vision and Robotics using Raspberry Pi
Take away
- Strong foundation in C, C++, DSA, and Embedded Systems
- Hands-on experience with ARM Cortex, Linux, and Device Drivers
- Advanced skills in AI, Machine Learning, Deep Learning, and NLP
- Practical exposure to Generative AI, Edge AI, and Robotics
- Real-time project development using Raspberry Pi and TensorFlow
- Certification – Advanced Diploma in Embedded AI with Robotics Applications
- Industry-focused training with placement assistance and interview preparation
