WORKSHOPS

 The Drone Challenge

Number of Days

3 days

Time

9 am – 4 pm

By

Day one

  • Participants Registration
  • Program Presentation
  • Break
  • Industrial Application of Drones
  • Flight Principles
  • Multi-rotor Drone Components
  • Lunch
  • Intro Flight Simulator – Flight Simulator Practice
  • Intro to Tello – Tello Practices
  • Intro to Challenges
  • Break
  • NXP Drone Kits Presentation
  • Downloading Software – Manuals – Installing toolchains

Day two

  • Building NXP system
  • Software – Pixhawk – Groundcontrol
  • Break
  • Safety Guidelines
  • Initializing NXP System
  • Ground Control Station
  • Lunch
  • FPV Camera & Sensors
  • Drone Settings & Coding
  • Rules and Regulations
  • Break
  • Pre-flight Checklist
  • Checkup Session and Assembled Drones Checking

Day three

  • Drone flight
  • Break
  • Troubleshooting – Q&A
  • Lunch
  • Evaluation
  • Break
  • Ceremony

 Internet of Things (IOT)

Number of Days

3 days

Time

11 am- 5 pm

By

Day one

  • Electrical Signals
  • Serial Communication
  • Transducer
  • Sensors
  • ESP Wi-Fi Platform
  • Arduino IDE
  • Build Your First ESP-01 Programs

Day two

  • I/O interfaces
  • PMW signals, I2C and other protocols
  • Transistors and Relays
  • Drivers
  • Actuators
  • Build your ESP-01 device to control actuators

Day three

  • IoT devices
  • Wi-Fi connection types
  • Pass data with an HTTP connection
  • Read the state of your IoT device
  • Control your IoT device
  • Log data in a remote web server
  • DHT sensor
  • Build a DHT ESP-01 IoT device
  • Build your custom ESP-01 IoT

Azure Automated Machine Learning

Number of Days

3 days

Time

9 am- 4 pm

By

Usama wahab Khan – IKON

Day one

  • Building blocks for a Data Science Project
  • Machine Learning Process
  • Azure Machine Learning Pipelines
  • What is automated machine learning ?
  • When to Use AutoML

Day two

  • Introducing Automated Machine Learning
  • Automated ML Capabilities
  • Machine Learning on Azure
  • Azure Machine Learning Service
  • Data Science Virtual Machines (DSVM)

Day three

  • Training Infrastructure
  • Azure Automated Machine learning
  • How azure Auto ML works?
  • Forcing on Citizen Data Scientist
  • Automated ML in Azure Machine Learning Studio