Certified IOT expert course
What you'll learn
- IOT Basics
- IOT Architecture and Design
- IOT protocols
- IOT and cloud
- Arduino, Raspberry Pi
- Arduino and Raspberry detailed project
- Humidity measurement and Temperature using Arduino, Raspberry Pi
- IOT Components
- Layer Architecture of Internet of things
Requirements
- Learn should have basic knowledge of Computer Science
- Awareness of IoT functionality
Description
This course will cover below mentioned details
1. IOT
IOT definitions
Advantages and disadvantages
challenges of IOT
2. IOT Architecture and Design
- Components
- Layer Architecture
- Middleware of IOT
3. Internet of things protocols
IOT Protocols description
Communication Protocol
Data Link Protocol
Networking Layer Protocols
Transport Layer Protocol
Application Layer Protocol
4. Cloud and IOT
a. Cloud details
b. Major Cloud service providers
c. Edge Computing
d. Fog Computing
e. Grid Computing
5. Raspberry Pi and Arduino
1. Arduino Description
2. Arduino Boards Types
3. Raspberry Pi description
4. Raspberry Pi Models
5. Raspberry Pi and Arduino comparison
6. Raspberry Pi and Arduino project
• Uses of sensor
• Use interface switches
• MQTT,COAP Messaging
• Raspberry and Arduino Pi coordination
6. Remote Monitoring Solution (RMS)
• While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical.
• Access to low-cost, low-power sensor technology. Affordable and reliable sensors are making IoT technology possible for more manufacturers.
•Connectivity. A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other “things” for efficient data transfer.
•Cloud computing platforms. The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all.
•Machine learning and analytics. With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily. The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies.
•Conversational artificial intelligence (AI). Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.
Who this course is for:
- Programmers and Developers
- Software Engineers and Architects
- Project Managers
- Data Analysts
- Application Architects
- University Professors and Students
- The students who want be expertise in IOT field
Instructor
More than 25 years of experience in industry and working in stock market as independent Investment Consultant, Trainer and Trader
NCFM Certification:
Technical Analysis Module
Fundamental Analysis Module
Options Strategies Module
Investment analysis and Portfolio Management
Post graduation diploma : Computer science and Airticifical intelligence
Aside life time certifications on blockchain, cyber security and metaverse
Certified blockchain expert
Certified metaverse expert
Certified cyber security expert
NSIM Certification:
NSE Certified Research Analyst
Achievement in financial Market
NSE Academy Certified Market professional (NCMP)- Level 1 Award
October 2019
I give coaching in following area and doing consultancy in financial market.
1. Technical Analysis
2. Fundamental Analysis
3. Options Strategies
4. Research Analysis
5. Intra Day and Swing Trading
6. Nifty and Bank Nifty Trading
7. Future Trading
8. Portfolio Management