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