Theory/Practical | Duration |
Theoretical discussion | 3 hours approx. |
Practical/hands-on | 7 hours approx. |
Assessment and Hands-on Evaluation | 1 hours |
Capstone project | 40 hours |
Self-paced learning (Academia) | 40 hours |
Total Duration | 91 hours Approx. |
ICE breaking session, introduction to course objectives and expectations from participants
Artificial Intelligence market trends and opportunities, Introduction to Artificial Intelligence, Machine Learning, definition, classifications and applications, Evolution of AI, what is a Chatbot, Responsible conversational AI, Human AI Interaction
AI Demos – Text Analytics, AI Cognitive Services, Sentiment Analysis API, Language Understanding, Understanding the base working of Voice Assistants, Image Recognition on Web Browser, Computer Vision Demo.
Introduction to coding and its significance in the digital era. Overview of different programming languages and their applications. Introduction to basic coding concepts, such as variables, data types, and operators. Hands-on exercises to practice writing simple programs.
Introduction to control structures, including conditionals and loops. Understanding the importance of logic in programming. Hands-on exercises to reinforce the concepts of control structures. Introduction to debugging techniques and tools. Overview of functions and their role in modular programming. Introduction to libraries and their usage in coding. Hands-on exercises to practice writing functions and utilizing libraries.
Introduction to object-oriented programming (OOP) concepts. Understanding classes, objects, and inheritance. Hands-on exercises to implement OOP principles in coding. Introduction to data structures, such as arrays, lists, and dictionaries. Understanding their usage and benefits in coding. Hands-on exercises to work with data structures effectively.
Introduction to IBM Cloud computing and its advantages. Overview of different IBM Cloud services and their applications. Hands-on exercises to get familiar with the IBM Cloud platform. Understanding virtualization and scalability in cloud computing. Exploring IBM Cloud deployment models. Hands-on exercises to deploy applications on the IBM Cloud platform. Introduction to IBM Cloud tools and services for developers. Overview of DevOps practices in cloud computing. Hands-on exercises to utilize IBM Cloud tools effectively.