Embedded Systems Bootcamp: RTOS, IoT, AI, Vision and FPGA from Udemy

No other E-learning content tried linking all digital sciences with embedded systems like we did with this 17 hours content.

Starting with FPGA and the VHDL hardware design programming language. specifically from the smallest signal which we call the bit, to building simplified calculation and registration units used in microcontrollers from scratch. And what I mean by scratch is, building it out of basic Logic gates and registers.

Then Moving to AVR uC and the famous Arduino, and building it up to run The famous Realtime operating system (RTOS) in order to run Multi-threading based application.

Then dialing it up a notch and introducing ESP boards to run IoT applications, establishing communication to Node-red, android devices and learning about remote access control.

Closing the whole thing by introducing raspberry pi and Linux. And building up with a basic Python introduction, Neural Networks, before building Embedded Deep learning image processing based models.

And all of that is hands on. No plain theory, no philosophical block of texts explaining useless concepts. Getting your hands dirty, is the my main drive here.

Hardware Technologies to be taught:

FPGA
Raspberry PI
Arduino
ESP32 (Node MCU)

Programming Languages to be taught:

C
Python
VHDL

Communication and Cloud Technologies to be taught:

UART
SPI
MQTT
Node-Red
Hivemq

Techniques to be taught:

Combinational Logic Design
Sequential Logic Design
FSM
Control Units
Tinker CAD
Digital and Analog Signals
Interrupts
Android Control
Remote Control
RTOS
Semaphores
Mutexes
Sharing Resources
Queues
Parametrized Tasks
Structures
Linux
Basics of Artificial Intelligence
Neural Networks
Deep Neural Networks
CNN

What's inside

Learning objectives

Hardware design using fpga by learning vhdl
Raspberry pi, arduino and esp32
Microcontroller programming and simulation
Multi-threading for embedded systems and rtos

Iot, remote control and monitoring for embedded systems
Linux based embedded systems
Python
Deep learning and image processing

Hardware design using fpga by learning vhdl
Raspberry pi, arduino and esp32
Microcontroller programming and simulation
Multi-threading for embedded systems and rtos
Iot, remote control and monitoring for embedded systems
Linux based embedded systems
Python
Deep learning and image processing

Syllabus

The Story Of The Bit

Transistor Logic Gates

Before we go further

The Binary System

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers FPGA, Raspberry Pi, Arduino, and ESP32, which are commonly used platforms in embedded systems development and prototyping

Explores VHDL, C, and Python, which are essential programming languages for embedded systems development and scripting

Examines communication protocols like UART, SPI, and MQTT, which are crucial for IoT and embedded systems connectivity

Introduces Node-Red and Hivemq, which are useful tools for building IoT applications and managing message queues

Teaches combinational and sequential logic design, which are fundamental concepts in digital circuit design and FPGA programming

Includes a section on TinkerCAD, which is a free online tool for simulating circuits and Arduino projects

Reviews summary

Broad embedded systems overview with hands-on labs

Based on the course outline, this Embedded Systems Bootcamp offers a very broad coverage across FPGA, RTOS, IoT, AI, and Vision, aiming to link these areas. It strongly promotes a hands-on, practical learning style using Arduino, ESP32, RPi, and FPGA hardware. Given the extensive range of topics in 17 hours, the pace is expected to be extremely fast, suggesting the depth per topic may be limited and learners might need strong prerequisites or external study.

Specific hardware needed across platforms.

"Be prepared to get multiple boards: FPGA, Arduino, ESP, RPi."

"Having the right hardware is essential before starting the course."

Attempts to link diverse embedded concepts.

"It's ambitious how it tries to connect FPGA, RTOS, and AI."

"The attempt to link these areas is unique."

Covers many topics, depth varies.

"This course is unique in how many areas it touches on."

"I got a good introduction to FPGA, then RTOS, then IoT..."

"To really master one area, like RTOS, I'd definitely need more resources."

Strong focus on hands-on labs/projects.

"I appreciate that it's not just theory, but focuses on doing."

"Getting hands-on with the hardware is the best part."

"The labs seem designed to get you 'hands dirty'."

Rapidly covers complex, diverse topics.

"Trying to jump between VHDL, C, and Python so quickly is challenging."

"The pace feels very fast, especially if you're new to some areas."

"Definitely need to pause and re-watch sections to keep up."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Embedded Systems Bootcamp: RTOS, IoT, AI, Vision and FPGA with these activities:

Review Digital Logic Fundamentals

Show steps

Solidify your understanding of digital logic concepts. This will provide a strong foundation for the FPGA and VHDL sections of the course.

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Review basic logic gates (AND, OR, NOT, XOR).
Study combinational and sequential circuit design.
Practice solving logic gate problems.

Read 'Programming Embedded Systems' by Barr

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Gain a deeper understanding of embedded systems programming. This book will provide practical insights and examples to supplement the course content.

View Programming Embedded Systems: With C and GNU... on Amazon

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Read the chapters related to RTOS and microcontroller programming.
Work through the example code provided in the book.
Experiment with different programming techniques.

Review 'TinyML' by Warden and Situnayake

Show steps

Learn how to implement machine learning on embedded systems. This book will provide hands-on experience with TinyML frameworks.

View Basic Course Learning About TinyML on Amazon

Show steps

Read the chapters related to TensorFlow Lite Micro.
Work through the example projects in the book.
Experiment with different model architectures.

Four other activities

Expand to see all activities and additional details

Show all seven activities

VHDL Coding Challenges

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Improve your VHDL programming skills. Regular practice will help you become more proficient in hardware design.

Show steps

Find online VHDL coding challenges.
Solve a set number of challenges each week.
Review your solutions and learn from your mistakes.

Implement a Simple RTOS Task Scheduler

Show steps

Reinforce your understanding of RTOS concepts. Building a basic task scheduler will solidify your knowledge of multi-threading and resource management.

Show steps

Design the task scheduler architecture.
Implement task creation and deletion functions.
Implement a basic context switching mechanism.
Test the scheduler with simple tasks.

Create a Presentation on IoT Communication Protocols

Show steps

Consolidate your knowledge of IoT communication protocols. Preparing a presentation will help you organize your thoughts and present information effectively.

Show steps

Research different IoT communication protocols (MQTT, CoAP, etc.).
Choose a few protocols to focus on.
Create a presentation outlining the key features of each protocol.
Present your findings to a peer or study group.

Create a Blog Post on Embedded AI

Show steps

Deepen your understanding of embedded AI and share your knowledge. Writing a blog post will force you to synthesize information and explain it clearly.

Show steps

Research current trends in embedded AI.
Choose a specific topic within embedded AI.
Write a clear and concise blog post explaining the topic.
Include examples and illustrations.

Career center

Learners who complete Embedded Systems Bootcamp: RTOS, IoT, AI, Vision and FPGA will develop knowledge and skills that may be useful to these careers:

FPGA Developer

An FPGA Developer focuses on designing and programming Field Programmable Gate Arrays (FPGAs) for specific functionalities. The knowledge of hardware design, VHDL programming, and digital logic circuits is critical to this role. This course is a great fit because it starts with the very basics of digital logic using VHDL and FPGA. It covers the design of fundamental components like logic gates and registers, going all the way to arithmetic logic units and finite state machines. The course helps build an in-depth understanding of the architecture of FPGAs and also gives the learner hands-on experience for using them.

See salaries and explore the career path for FPGA Developer

Embedded Systems Engineer

An Embedded Systems Engineer designs, develops, and tests software for embedded systems, often found in devices like appliances, vehicles, and industrial equipment. This course helps build a foundation in the core principles of embedded systems, including hardware design using FPGA and VHDL, microcontroller programming, and real-time operating systems. The hands-on experience with technologies like Raspberry Pi, Arduino, and ESP32, plus the exploration of multi-threading and IoT applications, provides practical skills directly applicable to the work of an Embedded Systems Engineer. The course is a particularly good choice for anyone who wants to handle a diverse range of activities like hardware design, low-level programming, OS, IOT, and AI.

See salaries and explore the career path for Embedded Systems Engineer

Firmware Engineer

A Firmware Engineer specializes in writing low-level code that directly interacts with hardware. This role requires a deep understanding of how hardware components function. This course is directly relevant because it covers hardware design using VHDL and FPGA, microcontroller programming, and real-time operating systems. The hands-on experience with various hardware platforms including Arduino and ESP32, and the study of digital and analog signals and interrupts, helps prepare one for the work of a Firmware Engineer. It offers particularly useful knowledge in the fundamentals of embedded systems and the nuances of different hardware, which are very important to a Firmware Engineer.

See salaries and explore the career path for Firmware Engineer

Internet of Things Developer

An Internet of Things developer, sometimes called an IoT developer, develops software for devices connected to the Internet. A deep knowledge of embedded systems is key to this role. This course is a great fit because it covers IoT application development on ESP boards, including communication to Node-red and android devices, and remote access control. Moreover, the course will help someone interested in this field build a strong knowledge of embedded systems, real-time operating systems, and embedded AI, which are all becoming more important for IoT development. If you are a prospective IoT Developer, this course offers a diverse experience with the relevant technologies and skills.

See salaries and explore the career path for Internet of Things Developer

Computer Vision Engineer

A Computer Vision Engineer develops and implements algorithms and systems that allow computers to interpret and understand images and videos. This often involves working with embedded systems to deploy vision capabilities efficiently. This course is a good fit due to its focus on embedded deep learning for image processing. The hands-on experience on Raspberry Pi when running neural networks and CNNs, makes it particularly valuable. Moreover, the knowledge of the basics of embedded systems, using C and Python, helps prepare you for the practical challenges of building embedded computer vision applications. The course helps build knowledge that is essential for a Computer Vision Engineer working on edge devices.

See salaries and explore the career path for Computer Vision Engineer

Robotics Engineer

A Robotics Engineer designs, builds, tests, and deploys robots. They often work with both the hardware and software components of robotic systems. This course may be useful for a career as a Robotics Engineer, since it provides hands-on experience with hardware platforms like FPGA, Arduino, and Raspberry Pi, along with programming in C, Python and VHDL. The exploration of real-time operating systems and multi-threading application development is very similar to essential activities when working with robots. Moreover, the treatment of AI and image processing is highly relevant to robotics. The course helps to develop a strong knowledge of the foundational elements of robotics systems.

See salaries and explore the career path for Robotics Engineer

Control Systems Engineer

A Control Systems Engineer works on the design and implementation of systems that control various machines and processes. The use of microcontrollers and real-time systems is very common in this field. This course may be useful because it covers a wide range of topics relevant to control systems, including real-time operating systems, microcontroller programming, digital and analog signals, and interrupts. The course also gives hands-on experience with multi-threading application development, which is crucial for tasks like controlling multiple processes in real time. Anyone interested in this field will find that this course helps to build a solid foundation in the fundamentals.

See salaries and explore the career path for Control Systems Engineer

Hardware Engineer

A Hardware Engineer designs, develops, and tests the physical components of computer systems, including circuit boards and processors. This course may be useful for a career as a Hardware Engineer, since it provides a strong foundation in hardware design using FPGA and VHDL. The course dives deep into the underlying digital logic needed for hardware design, such as logic gates, registers, and arithmetic logic units. The hands-on experience with various hardware platforms, like Arduino and Raspberry Pi, helps build a strong intuition for hardware systems. For any prospective Hardware Engineer, this course helps build essential knowledge and experience.

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Systems Architect

A Systems Architect designs the overall structure of a system, focusing on how different components interact with each other. This role often requires an understanding of both hardware and software elements. This course may be useful because it covers a broad range of topics, including microcontroller programming, digital logic, and real-time systems. The course offers a valuable perspective for anyone seeking a Systems Architect role, because of its focus on both the fundamentals and the practical aspects of different technologies. The broad treatment of many topics will certainly aid any systems architect who must plan out the full scope of a project.

See salaries and explore the career path for Systems Architect

Automation Engineer

An Automation Engineer designs and implements automated systems to improve efficiency and reduce human intervention. They work with industrial control systems and programmable logic controllers, which share concepts with embedded systems. This course may be useful because it covers microcontroller programming, real-time operating systems, and the control of digital and analog signals. The hands-on experience with Arduino and other microcontroller platforms assists in the understanding of the practical fundamentals for an Automation Engineer. The course provides a good introduction to many of the core technologies that an Automation Engineer would encounter.

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AI Engineer

An AI Engineer develops, tests, and deploys artificial intelligence models. This role often requires adapting AI models to run on specific hardware platforms. This course may be useful for an AI Engineer as it introduces the basics of artificial intelligence, neural networks, and deep learning models, with an emphasis on embedded applications. Specifically, experience with embedded deep learning for image processing, and especially with hardware platforms like Raspberry Pi, will help anyone seeking a career as an AI Engineer. This course provides a valuable perspective on deploying AI in constrained environments.

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Research Scientist

A Research Scientist in the field of embedded systems or robotics conducts research and develops advanced technologies. This role often requires a deep understanding of the fundamentals of hardware and software. This course may be useful because it covers a wide breadth of technologies, including hardware design, embedded operating systems, and AI. The hands-on experience, and especially the deep dive into building low-level systems, helps create the kind of intuition and knowledge required for a Research Scientist. While a Research Scientist typically holds an advanced degree, the diverse knowledge from this course helps someone to build a strong foundation for more advanced research.

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Test Engineer

A Test Engineer develops and executes tests to assess the quality and reliability of systems. In an embedded systems context, this job requires a deep understanding of both hardware and software. This course may be useful because it covers a wide range of topics, going from basic hardware design to embedded software. The hands-on experience with microcontroller programming and the understanding of digital signals, communication protocols, and multi-threading application development may help one become a good Test Engineer. Specifically, the ability to develop and use testing frameworks will be assisted by the broad perspective that the course gives.

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Software Engineer

A Software Engineer develops, tests, and maintains software applications. Though often focused on higher-level software, a Software Engineer who understands embedded systems can contribute to a wider range of projects. This course may be useful because it introduces low-level programming, hardware interaction, and fundamental concepts in operating systems and real-time programming. While not directly focused on high-level application programming, knowledge gained through this course provides a unique perspective for any Software Engineer. In particular, the hands-on experience with C and Python, and building applications for multiple hardware platforms, makes the course a valuable addition to the skills of any prospective Software Engineer.

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Technical Consultant

A Technical Consultant provides specialized advice and recommendations on technical matters. This role requires a broad understanding of several technologies. This course may be useful because it covers a wide range of topics, including embedded systems, hardware design, programming languages, and AI. The hands- on experience in this course, with many different platforms and technologies, makes the course a good addition to the skillset of any prospective Technical Consultant who will be recommending solutions. The course helps cultivate a broad understanding of different technological elements.

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Embedded Systems Bootcamp

RTOS, IoT, AI, Vision and FPGA

What's inside

Learning objectives

Syllabus

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Reviews summary

Broad embedded systems overview with hands-on labs

Activities

Career center

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