Occupation: Technology Convergency.

1. Course Name:  Introduction to Robotics with Raspberry Pi.

Why Attending this Course?

This course will help participant to understanding basics of machine learning, Python programming and Raspberry Pi.

Who Should Attend?

The course is designed for participant with at least a basic level of understanding of electronic circuit, microcontrollers and programming languages, as well as knowledge of computer fundamentals.

Course Outline:

  • Introduction to Robotics Learning.
  • Python Programming.
  • Introduction to Raspberry Pi.
  • Raspberry pi wiring.
  • Final Project.

Duration: 3 weeks, 3 hours a day.

Fees: 250,000/=.

Venue: VETA KIPAWA ICT CENTRE.

Download form for this course here (Pakua form ya kozi hii hapa) >>>

 

Occupation: Technology Convergency.

2. Course Name:  Internet of Things (IoT) and Applications.

Why Attending this Course?

  • This course will help a participant to Build a sound understanding of core concepts, background technologies, and the different features of the IoT landscape.
  • Learn about sensors, microcontrollers and communication interfaces to design and build IoT devices.

Who Should Attend?

The course is designed for participants with at least a basic level of understanding of electronic circuit, microcontrollers and programming languages, as well as knowledge of computer fundamentals.

Course Outline:

  • Introduction to IoT Concept.
  • Use of Breadboard.
  • How to Use Resistors.
  • Sketch Programming Language.
  • The Use of Sensors, Switch.
  • Measurement of Temperature.
  • Measurement of Humidity.
  • Use of Ultrasonic Sensor.
  • Control of Light Sensor.
  • Control of Water Level Sensor.
  • Use of Relays.
  • Control of Servo Motor and Step Motor.

Duration: 3 weeks, 3 hours a day.

Fees: 250,000/=

Venue: VETA KIPAWA ICT CENTRE.

Download form for this course here (Pakua form ya kozi hii hapa) >>>

 

Occupation: Technology Convergency.

3. Course Name: Data Analytics and Decision Making.

Why Attending this Course?

The General objective of this course is to introduce participants to these technologies. The core technologies are data analytics and decision making.

Who Should Attend?

  • Executives across every department of the organization who are dealing, or are involved with, data, and decision processes.
  • Managers who will be in strategic positions in the future.
  • Anyone dealing with important decisions, either in private or public organizations, as well as small enterprises.

Course Outline:

  • Introduction and computing environment setting.
  • Sales data summary and analysis: Pivot table.
  • Sales seasonal/promotion effect analysis: moving average.
  • Sales data analytic tools: Checkbox, Spike line.
  • Sales forecasting: regression, dummy variable.
  • Sales forecasting: neural network 1.
  • Sales forecasting: neural network 2.
  • Market segmentation: cluster analysis.
  • Market segmentation: decision tree.
  • Conjoint analysis.
  • R program: Introduction and Basic functions.

Duration: 2 weeks, 3 hours a day.

Fees: 250,000/=.

Venue: VETA KIPAWA ICT CENTRE.

Download form for this course here (Pakua form ya kozi hii hapa) >>>