Home Automation with Raspberry Pi and AWS - IoT - 2019
Deploy your code to Raspberry Pi using AWS platform and integrate your application with AWS services.
4.45 (83 reviews)
591
students
5 hours
content
Jan 2020
last update
$49.99
regular price
What you will learn
Create a headless Raspberry PI
AWS CodeDeploy
AWS Pipeline
AWS SSM - Parameter Store
AWS DynamoDB
AWS SNS
AWS IAM
Important Commands in Linux
Cloud Security
Nodejs
Why take this course?
In this course you are going to learn how to deploy your code to your raspberry Pi using AWS Codedeploy and AWS Codepipeline and Github. You also are going to learn how to integrate your application with AWS DynamoDB, AWS SNS, AWS SSM, AWS IAM, AWS parameter store.
We are going to create a headless boot disk for Raspberry Pi and setup the device to receive the application stored on GitHub.
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Our review
🌟 **Course Review Summary** 🌟
TDM Rating: 4.45/5
**Pros:**
- **Comprehensive Content**: The course covers a wide range of topics and provides detailed explanations, which is appreciated by students who are looking to learn more than they initially expected.
- **Enthusiastic Instructor**: The instructor's enthusiasm for the project makes the lectures engaging and enjoyable, contributing to a positive learning experience.
- **Practical Examples**: Practical samples and real-world applications are used throughout the course, which helps students understand and apply concepts effectively.
- **Clear Instructions**: The instructor provides clear, step-by-step instructions, ensuring that learners can follow along without feeling lost after initial lectures.
- **Ease of Understanding**: The instructor's English is described as very good, making the course content easily understandable for non-native speakers.
- **Gradual Learning Approach**: The course is structured in a way that allows individuals with no prior knowledge to start from scratch and build up their skills gradually.
**Cons:**
- **Video Clarity**: Some video and display content is not in focus, which can make it difficult for students to see and follow the steps being demonstrated.
- **Resource Material**: A file of notes with all the commands would have been helpful, especially for those who found entering commands into their Raspberry Pi challenging.
- **Regional Considerations**: The need to change regions if not in the same region as the instructor can be a point of confusion for some students.
- **Self-Directed Learning**: Some students find it necessary to be more self-directed, identifying resources or information independently.
- **Depth of Content**: For those looking for more advanced knowledge on sensors and hardware integration with AWS, the course content may seem a bit superficial.
- **Content Relevance**: The course could benefit from additional examples and projects focusing on various types of hardware to enhance practical application.
**Additional Feedback:**
One student expressed interest in the instructor providing a course on AWS Certification, highlighting the potential demand for such a course.
In conclusion, the course is well-received for its comprehensive and engaging content, with some areas that could be improved for clarity and resource provision. Overall, it's an excellent course for beginners to learn the basics of creating nodes on AWS and connecting them with Raspberry Pi, with the potential for more advanced topics covered in future offerings.
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2283748
udemy ID
3/21/2019
course created date
11/24/2019
course indexed date
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