Module #1 Introduction to AI in Embedded Systems Overview of AI applications in embedded systems, challenges, and opportunities
Module #2 Basics of AI and Machine Learning Review of AI and ML concepts, including neural networks, deep learning, and model evaluation
Module #3 Embedded Systems Fundamentals Overview of embedded systems, including hardware and software components, and constraints
Module #4 AI Model Optimization Fundamentals Introduction to model optimization techniques, including model pruning, quantization, and knowledge distillation
Module #5 Design Considerations for AI-Enabled Embedded Systems Discussion of design considerations, including power consumption, memory constraints, and real-time requirements
Module #6 Model Pruning and Compression In-depth discussion of model pruning and compression techniques, including magnitude-based pruning and Huffman coding
Module #7 Quantization and Bit-Width Reduction Quantization techniques, including uniform and non-uniform quantization, and bit-width reduction
Module #8 Knowledge Distillation and Model Hints Knowledge distillation and model hints for model optimization
Module #9 Low-Precision Data Types and Numerical Formats Use of low-precision data types and numerical formats, including float16 and int8
Module #10 Sparsity and Structured Pruning Techniques for inducing sparsity and structured pruning in AI models
Module #11 Understanding Embedded System Hardware Overview of embedded system hardware, including CPUs, GPUs, and specialized accelerators
Module #12 Hardware-Aware Model Design Designing AI models with awareness of embedded system hardware constraints
Module #13 Optimizing AI Models for Specific Hardware Optimizing AI models for specific embedded system hardware, including ARM, x86, and RISC-V
Module #14 Exploiting Parallelism and Pipelining Techniques for exploiting parallelism and pipelining in AI model execution
Module #15 Energy Efficiency and Power Optimization Optimizing AI models for energy efficiency and power consumption in embedded systems
Module #16 Understanding Embedded System Software Overview of embedded system software, including operating systems and device drivers
Module #17 Software-Aware Model Optimization Optimizing AI models with awareness of embedded system software constraints
Module #18 Optimizing AI Models for Real-Time Systems Optimizing AI models for real-time systems and meeting latency and jitter requirements
Module #19 Memory Optimization and Cache Efficiency Optimizing AI models for memory efficiency and cache utilization
Module #20 Debugging and Profiling AI Models on Embedded Systems Tools and techniques for debugging and profiling AI models on embedded systems
Module #21 Distributed AI and Federated Learning Distributed AI and federated learning for embedded systems
Module #22 Explainability and Interpretability in AI Models Techniques for explainability and interpretability in AI models for embedded systems
Module #23 Model Robustness and Adversarial Attacks Optimizing AI models for robustness and defending against adversarial attacks
Module #24 Ethics and Fairness in AI Model Optimization Ethical considerations and fairness in AI model optimization for embedded systems
Module #25 Future Directions in AI Model Optimization for Embedded Systems Overview of emerging trends and future directions in AI model optimization for embedded systems
Module #26 Project 1:Optimizing a Simple AI Model for Embedded Systems Hands-on project optimizing a simple AI model for embedded systems
Module #27 Case Study 1:AI-Enabled Smart Camera Case study of an AI-enabled smart camera system, including optimization techniques and challenges
Module #28 Project 2:Optimizing a Complex AI Model for Embedded Systems Hands-on project optimizing a complex AI model for embedded systems
Module #29 Case Study 2:AI-Enabled Autonomous Vehicle Case study of an AI-enabled autonomous vehicle system, including optimization techniques and challenges
Module #30 Course Wrap-Up & Conclusion Planning next steps in Optimization of AI Models for Embedded Systems career
