AI isn’t the future, it’s happening right now. From technology and healthcare to finance and manufacturing, artificial intelligence has become the driving force behind industry transformation. By mastering AI skills today, you’re positioning yourself for the most sought-after career opportunities and future-proof career paths that didn’t exist a decade ago.
This is where multiple worlds collide and create magic. AI intersects computer science, mathematics, engineering, psychology, and linguistics, giving you a solid foundation for graduate studies across diverse fields. You’ll explore interdisciplinary research areas and pursue innovative projects whilst developing expertise in data analysis, statistics, and machine learning techniques that open countless doors.
IIT Professional Training Unit is established to offer innovative learning solutions in the fields of Business and Information Technology to enable individuals and organizations to face tomorrow’s challenges with confidence.
Module1: Introduction to Artificial Intelligence
Module 2: Mathematics for AI: Linear Algebra
Module 3: Mathematics for AI: Probability & Statistics
Module 4: Exploratory Data Analysis
Module 5: Foundation of Machine Learning
Module 6: Deep Learning & Neural Networks
Module 7: Introduction to Computer Vision
Module 8: Natural Language Processing (NLP)
Module 9: Introduction to Generative AI
Module 10: Building a Generative AI Applications
Module 11: Ethics, Bias, Responsible AI
LO1: Master foundational AI concepts, including machine and deep learning, and their
applications.
LO2: Acquire skills in data analysis, AI modeling, and deployment.
LO3: Innovate and apply AI solutions ethically in real-world projects.
LO4: Build expertise in generative AI applications for practical challenges.
Students who completed the secondary education
Students looking forward for higher education and recent graduates
Professionals interested in Artificial Intelligence and career development
Research students
Entrepreneurs and Business Owners
AI Enthusiasts and Hobbyists
Instructor-led classroom training
Distance learning facility is available (Online)
3 Months: 48 Hours
For further details, please contact
Module1: Introduction to Artificial Intelligence
Module 2: Mathematics for AI: Linear Algebra
Module 3: Mathematics for AI: Probability & Statistics
Module 4: Exploratory Data Analysis
Module 5: Foundation of Machine Learning
Module 6: Deep Learning & Neural Networks
Module 7: Introduction to Computer Vision
Module 8: Natural Language Processing (NLP)
Module 9: Introduction to Generative AI
Module 10: Building a Generative AI Applications
Module 11: Ethics, Bias, Responsible AI
LO1: Master foundational AI concepts, including machine and deep learning, and their
applications.
LO2: Acquire skills in data analysis, AI modeling, and deployment.
LO3: Innovate and apply AI solutions ethically in real-world projects.
LO4: Build expertise in generative AI applications for practical challenges.
Students who completed the secondary education
Students looking forward for higher education and recent graduates
Professionals interested in Artificial Intelligence and career development
Research students
Entrepreneurs and Business Owners
AI Enthusiasts and Hobbyists
Instructor-led classroom training
Distance learning facility is available (Online)
3 Months: 48 Hours
For further details, please contact
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