Course Overview:
This artificial intelligence course is designed to help learners decode the mystery of artificial intelligence and its business applications. The course provides an overview of AI and IOT concepts with workflows, machine learning, deep learning performance metrics, microchip (Arduino) signal, devices communication, data capturing Besides learning the difference between supervised, unsupervised, and reinforcement learning, and exposure to electronic components and way to use them. The course is also focused on data transmission from device to data storage and device signal receiving.
Course Objectives:
This course will give you a look at the booming field of AI and show you how AI can help drive business value. The course covers basic concepts, terminologies, scope, and stages of artificial intelligence and their effect on real-world business processes. Focusing on IOT data capturing and Machine Learning will give a broader picture and understanding of the Internet of Things in the broader picture. By the end of the course, you will be able to clearly define variously supervised and unsupervised AI algorithms, apply machine learning workflow and data capturing from devices. You will also have a macro and micro view of IOT and AI integration.
Target Audience:
- IT Managers and CIOs
- Service Management Professionals
- Cloud Strategy and Management Consultants
- Service Architects, Technical Pre-Sales Consultants
- IT Business Owners
- Electrical and Electronic Engineers
- Software Engineers and IT Supports Executive
- Students who interested to pursue further in AI or IOT subject
Course Duration:
DAY 1
- Introduction to Artificial Intelligence
- Decoding Artificial Intelligence
- Meaning,Scope, and Stages Of Artificial Intelligence
- Three Stages of Artificial Intelligence
- Applications of Artificial Intelligence
- Image Recognition
- Applications of Artificial Intelligence – Examples
- Effects of Artificial Intelligence on Society
- Supervises Learning for Telemedicine
- Solves Complex Social Problems
- Benefits Multiple Industries
- Key Takeaways
- Case Study briefing
- Knowledge Check
- Fundamentals Of Machine Learning and Deep Learning
- Meaning of Machine Learning
- Machine Learning vs Statistical Analysis
- Process of Machine Learning
- Types of Machine Learning
- Meaning of Unsupervised Learning
- Meaning of Semi-supervised Learning
- Algorithms of Machine Learning
- Regression
- Naive Bayes
- Naive Bayes Classification
- Machine Learning Algorithms
- Deep Learning
- Artificial Neural Network Definition
- Definition of Perceptron
Day 2
- Big Data Essentials
- Learning Objective
- Data Learning Workflow
- Big Data Frameworks
- The guiding principle of Big Data
- Big Data Tools and Methods
- Transform Features
- Performance Metrics
- Need For Performance Metrics
- Key Methods Of Performance Metrics
- Confusion Matrix Example
- Terms Of Confusion Matrix
Day 3
- Chat-bot Essentials
- What are frameworks to apply on building a chat- bot
- What are the do’s and dont’s in enhancing the chat-bot
- Machine Learning with Phyton using Scikit-learn
- Machine Learning Approach
- Supervised Learning Model Considerations
- Hands Lab and Practices
Day 4
- How Big Data combines with AI to provide smart recommendations
- Supervised Learning Models – Logistic Regression
- Unsupervised Learning Models
- Model Persistence and Evaluation
- Knowledge Check
- Natural Language processing with Scikit Learn
- NLP Overview and Applications
Day 5
- DIGITAL TRANSMISSION TECHNIQUES
- Basic Concept and Terminology
- Media Characteristic
- Channel Encoder/Decoder
- Introduction to Arduino
- Understanding Arduino Protocol
- Working with Arduino cabling
- Knowing Arduino pins
- Lighting LED (light-emitting diode)
- Understanding Ground, Resistor and Volts supply
- Creating a LED controller program using Arduino GENUIO.
- Using a control statement, pin mode, input, and output.
- Creating a Simple program to control LED lights.
- Working with Arduino and LED.
- Working with Arduino and Variables.
- Working with a RGB LED.
Day 6
- Understanding WebServer
- Building sample webapp
- Understanding data communication mentods
- Building MySQL server for data storage
- Handling simple CRUD using PHP Coding.
Day 7
- Understranding Wifi controller
- Building online light controller ( turn on/off light from website )
- Building base controller program
- Data gathering from device to MySQL database
Day 8
- Exporting data from MySQL to text data .
- Perform Machine Learning base on collected data
- Produce statictical graph base on collected data from device.
- AI and IOT review
