AI and ML Live Training
Do you know the difference between AI and machine learning? Do you know how they affect you, your career path, and the world around us? After taking this course, you’ll have a mastery of the concepts and future directions of technologies like artificial intelligence and machine learning.
About This Course
AI and ML Live Training Course is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks.
This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on a continual basis.
Advantage of AI
This course covers most of the popular AI, deep learning algorithms along with the application case study. This course will help you build an AI career in an effective manner.
Prerequisites
Basic Python programming skills is required.
Learning Objectives
Requirements
- You do not need any prior experience in AI.
- We recommend that you have knowledge of high school level mathematics and at least one programming language, preferably Python.
Target Audience
- For aspirants looking to dive deep into the AI concepts.
- Machine Learning professionals and aspiring AI professionals who want to accelerate their AI knowledge can take up this course.
Curriculum
Understanding Artificial Intelligence
What is Machine Learning
Machine with vision
Machine Goal
World of Gradient Descent
Derivative of a Function
Linear Regression algorithm
Working with machines
Natural Language
Learning Complex Games
Artificial Intelligence
How do machine builds the logic?
Using Tensorflow
Simplify ML using Keras
Deep Learning
Getting started with Natural Language Processing
NLP using Deep Learning
Computer Vision using PyTorch
Advanced Machine Learning
Deploying ML/DL Models
