Understanding the fundamental concepts, processes, and mechanisms of how AI can interact with humans and the environment.
Level: Basic - Mandatory - Introduction
Prerequisites: None. No coding knowledge necessary; will be built along with the course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment last week
Combined Learning Outcome Achieved
Students will acquire comprehensive understanding of interaction AI fundamentals, including the application of NLP, speech recognition, and gesture interaction. They will be able to plan, assess, and create practical interaction systems in real-world environments.
The essential course to understand the impact of data in interaction AI systems, strategies for effective data collection and preparation.
Level: Basic - Choice - Specialization
Prerequisites: Introduction to Interaction AI or any introductory course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment last week
Combined Learning Outcome Achieved
Students master data preparation, augmentation, and evaluation techniques for interaction AI.
Understanding the neural networks, processes of working of algorithms, and training mechanisms for interaction AI use cases
Level: Basic - Choice - Specialization
Prerequisites: Introduction to Interaction AI or any introductory course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment at Midterm and Completion
Combined Learning Outcome Achieved
Students will be able to have deep knowledge of working of algorithms, neural networks, understand drawbacks and potential pitfalls of AI systems in training, and how they can be fixed.
Assuring quality, accuracy, model resilience, and core characteristics in case of AI business solution development and guaranteeing performance, scalability, and ethical AI use.
Level: Basic - Choice - Specialization
Prerequisites: Introduction to Interaction AI or any introductory course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment last week
Combined Learning Outcome Achieved
Students will have complete understanding of AI quality assurance lifecycle, techniques for testing, validation, bias detection, and performance optimization.
Students will work hands-on in the development of Interaction AI solutions, focusing on real-world applications across various domains. The course covers solution life cycle, risk analysis, ethics, and scalability in comprehensive long-term projects
Level: Intermediate - Choice - Specialization (For Custom Solutions through Industry Partnership)
Prerequisites: Interaction AI Fundamentals
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Macro-assessment weekly, Full assessment last week
Students will perfect recognition of human interaction gestures, expressions, enabling seamless engagement in AI-driven interactions
Level: Intermediate - Choice - Specialization (For Custom Solutions through Industry Partnership)
Prerequisites: Introduction to Interaction AI or any introductory course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment last week
Combined Learning Outcome Achieved
Students will gain deep expertise in interaction AI, enabling them to develop, refine, and optimize AI-driven human interaction systems applicable to various industries, supporting the full lifecycle of AI-powered user experiences.
Understanding AI agents, their classification, and their impact across industries with a focus on interaction AI.
Level: Basic - Choice - Specialization
Prerequisites: Interaction AI or any foundational AI course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment last week
Combined Learning Outcome Achieved
Students will have comprehensive understanding of AI agents, their applications, and development. They will be able to build, assess, and refine AI-driven systems.
Understanding the power, applications, and development of LLMs, focusing on AI-driven text processing and conversational AI.
Level: Intermediate - Choice - Specialization
Prerequisites: Introduction to AI or any foundational AI course
Duration: 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments: Micro-assessment weekly, Full assessment last week
