Course Overview:
In this basic course on artificial intelligence fundamentals, participants will be provided an overview of AI, and explained on how it can be used for an effective and efficient decision making for an organization.
The course will be a mixture of engaging short lectures with examples and use cases to help participants take their first steps in the exciting field of Artificial Intelligence In this basic course on artificial intelligence fundamentals, participants will be provided an overview of AI, and explained on how it can be used for an effective and efficient decision making for an organization.
The course will be a mixture of engaging short lectures with examples and use cases to help participants take their first steps in the exciting field of Artificial Intelligence
Course Objectives:
- Acquire basic understanding of machine learning and artificial intelligence
- Acquire basic knowledge of the usage of machine learning and artificial intelligence applications
- Understand the basic workflow of machine learning and artificial intelligence applications
Pre-requisites:
- Knowledge of computing, biology, mathematics and physics
Target Audience:
- Engineers
- Executives
- Project Managers
- CTO
- Solution Architects
- Innovation Officers
Course Duration:
- 14 hours – 2 days
Course Content:
Day 1
- Introduction to AI and Machine Learning
- Latest news in AI
- AI Applications
- AI Online Demo
- What is AI
- What is Machine Learning & Deep Learning
- AI Impact on Jobs
- Types of AI
- Supervised Learning – Classification
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- Step by Step on Classification Problem
- Classification Models
- Online Classification Practice
- Hand on practice on wek
- Supervised Learning – Regression
-
- Step by Step on Regression Problem
- Hand on practice on weka
- Unsupervised Learning – Clustering
-
- Clustering Models
- Hand on practice on weka
- Neural Network
-
- What is Neural Network
- Hands on Neural Network practice on Weka
Day 2
- Case Studies
-
- Convolution Neural Network (CNN) for Computer Vision
- Natural Language Processing
- ML Frameworks and Softwares
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- Discussion/demos on various ML frameworks and software’s like TensorFlow, Pytorch, MATLAB etc
- Future of AI
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- Convergence of HPC, AI, Industry 4.0 etc ….
- Closing and Remarks
