What will you learn in this Internet of Things and AI Cloud Specialization Course
Understand the fundamentals of the Internet of Things (IoT) and embedded systems
Learn to program using C for Arduino and Python for Raspberry Pi
Interface sensors and actuators with microcontrollers
Build and test real-world IoT applications
Develop end-to-end IoT projects involving data collection and processing
Program Overview
1. Introduction to the Internet of Things and Embedded Systems
⏳ 1.5 weeks
Covers the foundational concepts of IoT, including system components and societal impact.
2. The Arduino Platform and C Programming
⏳ 2 weeks
Introduces the Arduino platform and teaches programming in C with hands-on examples.
3. Interfacing with the Arduino
⏳ 2 weeks
Focuses on connecting and reading inputs from sensors and actuators using Arduino.
4. The Raspberry Pi Platform and Python Programming
⏳ 2 weeks
Teaches how to use the Raspberry Pi with Python for system control and data processing.
5. Interfacing with the Raspberry Pi
⏳ 2 weeks
Demonstrates IoT connectivity, using Pi for image capture, cloud data, and remote access.
6. Programming for the Internet of Things Project
⏳ 2 weeks
A capstone project that synthesizes all prior learnings to build a functional IoT solution.
Get certificate
Job Outlook
High demand for IoT Developers and Embedded Systems Engineers
Strong career prospects in manufacturing, smart homes, health tech, and automotive industries
Opportunities in freelance and startup ecosystems building IoT applications
Average salary for IoT professionals ranges from $70,000 to $120,000+ annually depending on specialization and region
Specification: Internet of Things and AI Cloud Specialization
|
FAQs
- Hardware kits are not included in the course fee.
- You will need an Arduino and Raspberry Pi for practical exercises.
- Low-cost starter kits are widely available online.
- Simulators exist but are less effective than real hardware.
- Having real devices enhances hands-on learning and project results.
- Basic coding knowledge is recommended but not mandatory.
- The course introduces C for Arduino and Python for Raspberry Pi step by step.
- Absolute beginners may find the pace fast in early modules.
- Free coding tutorials can help prepare in advance.
- Commitment to practice makes the course manageable.
- Teaches how IoT devices collect and transmit data to the cloud.
- Introduces cloud-based data storage and processing.
- Explores using AI models for real-time decision-making.
- Demonstrates applications in smart homes, healthcare, and industry.
- Bridges embedded systems with modern AI workflows.
- Opens roles like IoT Developer, Embedded Systems Engineer, and Cloud IoT Specialist.
- Relevant to smart home automation, automotive, and health tech industries.
- Prepares you for positions in startups and freelance IoT projects.
- Knowledge is also valued in R&D and industrial IoT sectors.
- Salary ranges vary by region, typically $70,000–$120,000 annually.
- Equips you with skills to prototype IoT solutions.
- Provides understanding of sensors, actuators, and connectivity.
- Capstone project helps in building a functional prototype.
- Deployment, scaling, and security require further specialized study.
- Serves as a strong foundation to pursue commercial IoT development.
