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WIZAPE
Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Advanced Embedded Systems Design for IoT
( 30 Modules )

Module #1
Introduction to IoT and Embedded Systems
Overview of IoT and embedded systems, history, and evolution
Module #2
IoT System Architecture
Understanding IoT system architecture, device types, and communication protocols
Module #3
Embedded System Design Fundamentals
Basics of embedded system design, microcontrollers, and system-on-chip (SoC)
Module #4
Microcontrollers for IoT
Microcontroller selection, architecture, and programming for IoT applications
Module #5
Peripheral interfacing and Driver Development
Interfacing with peripherals, driver development, and hardware-software co-design
Module #6
Real-Time Operating Systems (RTOS) for IoT
Introduction to RTOS, scheduling, synchronization, and resource management
Module #7
Middleware and IoT Protocol Stacks
Middleware layers, IoT protocol stacks (CoAP, MQTT, LWM2M), and device management
Module #8
Wireless Communication Protocols for IoT
Wireless communication protocols (Wi-Fi, Zigbee, Z-Wave, BLE, LoRaWAN) and IoT applications
Module #9
IoT Security Fundamentals
IoT security threats, attacks, and countermeasures, secure boot, and secure communication
Module #10
Cryptography for IoT
Cryptography basics, symmetric and asymmetric encryption, digital signatures, and hash functions
Module #11
Advanced IoT Communication Protocols
Advanced IoT communication protocols (NB-IoT, 5G, Edge Computing) and their applications
Module #12
IoT System Integration and Testing
System integration, testing, and validation methods for IoT systems
Module #13
Power Management and Energy Harvesting
Power management techniques, energy harvesting, and battery management for IoT devices
Module #14
Advanced IoT Sensor and Actuator Interfacing
Interfacing with advanced sensors (vision, audio, inertial) and actuators (motors, displays) for IoT
Module #15
Machine Learning and AI for IoT
Introduction to machine learning, AI, and deep learning for IoT applications
Module #16
Edge Computing and Fog Computing for IoT
Edge computing, fog computing, and distributed computing for IoT applications
Module #17
Cloud-based IoT Platforms and Services
Cloud-based IoT platforms (AWS IoT, Azure IoT, Google Cloud IoT Core) and services (Device Management, Data Analytics)
Module #18
Designing for Scalability and Reliability
Design principles for scalable and reliable IoT systems, fault tolerance, and redundancy
Module #19
IoT System Simulation and Modeling
Simulation and modeling tools (Simulink, Ptolemy, TinyOS) for IoT system design and verification
Module #20
Advanced IoT Networking and Connectivity
Advanced IoT networking topics (mesh networking, network slicing, 5G networks) and connectivity solutions
Module #21
Cybersecurity for IoT Devices
Secure IoT device design, secure boot, and secure firmware updates
Module #22
Compliance and Regulations for IoT
Compliance and regulatory requirements for IoT devices (FCC, CE, UL, GDPR)
Module #23
Designing for Low Power and Energy Efficiency
Design techniques for low power and energy-efficient IoT devices
Module #24
Advanced IoT Applications and Case Studies
Advanced IoT applications (industrial automation, smart energy, smart cities) and case studies
Module #25
IoT Business Models and Monetization Strategies
IoT business models, monetization strategies, and revenue streams
Module #26
Ethics and Social Implications of IoT
Ethical considerations, social implications, and privacy concerns in IoT
Module #27
Future of IoT and Emerging Trends
Emerging trends, future directions, and innovations in IoT
Module #28
Project Development and Implementation
Guided project development and implementation of an IoT system
Module #29
Advanced Topics in IoT
Selected advanced topics in IoT, including quantum computing, autonomous systems, and human-machine interfaces
Module #30
Course Wrap-Up & Conclusion
Planning next steps in Advanced Embedded Systems Design for IoT career


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