Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn.Experts claim AI is the Next Industrial Revolution bringing in changes.
Artificial intelligence (AI)is a rapidly growing field and the talent market is hot. Because of this demand, AI engineer salaries continue to increase.Not only is this an in-demand role, but AI engineers can command a top salary and report high levels of job satisfaction, making it a highly appealing career option.
Your learning will get reinforced through hands-on lab session. We also have tucked in Session Recordings ,Quizzes, Assignments, and Projects so you get a complete learning support resources throughout the course.
Topics - covered in the course
• AI: Application areas
• AI Basics
• Neural Network Basics (Perceptron and MLP, FFN, Backpropagation
• Practice assignment
• Introduction to Neural Networks
• Single layer neural network
• Multiple layer Neural network
• Back propagation Algorithm
• Neural Networks implementation in Python
• Installation of Keras
• Deep Learning Concepts like Neural Networks
• Searching for images: A case study in deep learning
• Learning very non-linear features with neural networks
• Application of deep learning to computer vision
• Deep learning performance
• Demo of deep learning model
• Deep learning ML block diagram
• Building A chat bot with NLP
• Introduction to Data Science, ML, DL & AI - why is it so important?
• Applications of Data science across industries
• Business problems – Analytics scenarios
• Analytics Industry in India, Job Market & Top Skills
• Data Scientist Toolbox, Tool of choice- Python: what & why?
Introduction to Python
• Installation of Python framework and packages: Anaconda and pip
• Working with Jupyter Notebooks
• Creating Python variables: Numeric, string and logical operations
• Practice Assignments
Operations & Functions in Python
• Writing for loops in Python
• List & Dictionary Comprehension
Numerical Summary of Data
• Summarizing numeric data and categorical data in pandas
• Need for visual summary
• Introduction to Seaborn
I hold a PhD in Engineering, from IIT Bombay. My major area focusses on monitoring and production systems using IoT and Machine Learning applications. Area of interest are wireless sensor network, IOT, Conditional monitoring, Machine learning, Deep learning and Data Science. Had published several National and International research papers in prestigious journals. I am passionate for imparting and sharing my knowledge and had also earned several accolades in ML and AI areas.