Edge AISensorsComputer VisionNPURobotics
AI, Edge AI with Integrated Robotics
This course helps you move from AI fundamentals to building intelligent systems using Edge AI and applying them to real-world robotics.
8mo
Course duration
6mo
Teaching
2mo
Projects
+4mo
Employment Training · optional
Taught in person at Jubilee Hills, Hyderabad. How to reach us
The curriculum
TeachingWeeks 1-24 · 6 mo
ProjectWeeks 25-32 · 2 mo
Employment Training Programme, add-onWeeks 33-48 · 4 mo
11 Modules · Teaching Weeks 1-24
- Introduction to Artificial Intelligence-AI
- Introduction to Machine Learning-ML
- Introduction to Deep Learning-DL
- Perceptron and Multilayer Perceptron-MLP
- Artificial Neural Networks
- Shallow and Deep Neural Networks
- Supervised Learning and Unsupervised Learning
- Training and Inference
- Applications
- Introduction to Reinforcement Learning-RL
- Fundamentals of Python Programming Language
- Functions and User Defined Functions
- Libraries for Data Science and Deep Learning
- Available Programs and Licenses
- Advantages of LLMs for Python Programming
- Graphical User Interface
- Technical Computing
- Building Artificial Neural Network with Python
- 1D, 2D, 3D Signals
- Sensor specifications
- Sensor sensitivity
- Sensor limitations
- Accelerometers
- Gyroscopes
- Magnetometer
- Pressure Sensors
- Other Sensors used in Robotics
- Python and OpenCV
- Digital Image Processing
- Types of Images
- Conversion
- Digital Image Filters
- Camera and Specifications
- Computer Vision
- Object Location Identification
- Convolutional Neural Networks
- Feature Extraction using Kernels
- Important Layers in Deep Learning
- Different Standard DL Architecture
- Training and Inference
- Microphone
- Microphone in Cameras
- Digital Signal Processing
- Understanding Features of the Audio
- Array of Microphones
- Recording Multi Track Audio
- AI Implementation
- RADAR, Movement Identification
- Depth Camera
- RGB vs Depth Camera
- Integrating RGB and Depth Information
- Time of Flight
- LIDAR and Point Cloud (PC)
- Object Identification in Point Cloud
- Distance Measurement
- Depth Camera and LIDAR in Robotics
- Why and when to use Edge AI
- AI for Physical Devices
- Zero Latency and Great Reliability
- Enhanced Privacy and Security
- Applications and Challenges
- Future of Edge AI
- Internet of Things-IoT
- Integrating AI and IOT
- Comparison between CPU, GPU, TPU and NPU
- Necessity of Neural Processing Unit
- AI Operations and NPU Real Time AI Operations
- Low Power Consumption for Battery Operated Systems
- On Device Training
- Challenges and Limitations
- Future of NPU
- Ground Vehicles
- Sensors and Hardware of Ground Vehicles
- Identification of approaching and receding targets
- Depth information from navigation
- Path finding and localization
- Pedestrian identification
- Discussion on Self-Driving Car
- Sensors and Hardware of Quadrupedal Robots
- Anatomy and Gait
- Sensors and AI Implementation
- Battery Power Requirement and Challenges
- Industrial Applications of Quadrupedal Robots
- Sensors and Hardware of Humanoid Robots
- Anatomy and Gait
- Sensors and Power Requirement
- Applications
- Future of Quadrupedal and Humanoid Robots
- Soft Robotics
- Primary Materials used to make the robot flexible and deformable
- Pneumatic and Hydraulic Actuation
- Degrees of Freedom
- Human Safety and Applications of Soft Robots
Project phase · Weeks 25-32
- Minor Project: Design, Development, and Implementation
- Major Project: Real-World Robotics and AI Application
Employment Training Programme, add-on · Weeks 33-48
The course finishes with twenty-four weeks of teaching and a minor and a major project. A four-month Employment Training Programme of real-time project work is available after that as an add-on, on merit basis.
Additional skills training
Along with the technical curriculum, every learner gets dedicated training in professional and career skills.
English Language SkillsImprove grammar, vocabulary, reading, writing, and workplace English.
Communication SkillsDevelop effective verbal and written communication.
Soft Skills DevelopmentBuild confidence, teamwork, problem-solving, and interpersonal skills.
Public Speaking & Presentation SkillsImprove presentation, speaking, and audience-engagement skills.
Resume PreparationCreate professional, industry-ready resumes.
Interview PreparationLearn interview techniques, question handling, and professional responses.
Mock InterviewsParticipate in practice interviews with feedback and performance evaluation.
5 Real-World Interview OpportunitiesGet opportunities to attend five actual industry interviews.
Career Guidance & Placement PreparationReceive guidance for career planning, job opportunities, and placement readiness.
The campus, Jubilee Hills.
Classrooms, a robotics lab and rooms named after the pioneers. Inaugural batches sit here in person.
Ready to join the next batch?
Train the way Hyderabad hires: project-first, certification-aligned and reviewed by people who do this for a living.
Book a free demo