AI & ML FOUNDATION COURSE

Description

The AI & ML foundation course is perfect for beginners who want to explore and take a step forward in this domain. The training offered is a perfect blend of theoretical concepts and practical learning with real-time AI & ML projects helping you gain the in-demand skills of the market.

Course Overview

This Artificial Intelligence & Machine Learning course will help you learn the fundamentals of Machine Learning and Deep Learning. You will also get to know how to model neural networks, and implement AI projects based on Deep Learning using TensorFlow and Keras. You will get a complete understanding of Convolutional Neural Networks, Recurrent Neural Networks, and other Deep Architectures along with their uses in complex raw data using TensorFlow.

This course has been designed by handpicked industry experts to develop your expertise through case-studies, practice modules, and real-time projects.

Course Outline

Skills

Gain a complete understanding of Convolutional Neural Networks, Recurrent Neural Networks, and other Deep Architectures along with their uses in complex raw data using TensorFlow. 

Alignment

This course has been designed by handpicked industry experts to develop your expertise through case-studies, practice modules, and real-time projects.

Outcome

At the end of the course, you will be ready to apply these concepts at work to handle Classification & Regression problems.

Eligibility

The Machine Learning certification course is well-suited for participants at the intermediate level including, analytics managers, business analysts, information architects, developers looking to become data scientists, and graduates seeking a career in Data Science and Machine Learning.

The course caters to CxO level and middle management professionals who want to improve their ability to derive business value and ROI from AI and machine learning. This Artificial Intelligence Introduction course does not require programming or IT background, making it well-suited for the following audience:

• Developers aspiring to be an artificial intelligence engineer or machine learning engineer
• Analytics managers who are leading a team of analysts 
• Information architects who want to gain expertise in AI algorithms 
• Analytics professionals who want to work in machine learning or artificial intelligence
• Graduates looking to build a career in artificial intelligence or machine learning

Pre-requisites

This Machine Learning course requires an understanding of basic statistics and mathematics at the college level. Familiarity with Python programming is also beneficial. You should understand these fundamental courses including Python for Data Science, Math Refresher, and Statistics Essential for Data Science, before getting into the Machine Learning online course.

There is no prerequisite for this Introduction to Artificial Intelligence course. It does not require programming or IT background, making it ideal for professionals in all walks of corporate life.  

FAQ

1. I do not have any technical experience, can I join?

This program does not require any technical or programming experience. Even if you are inclined towards programming or have some exposure, you are eligible to take up this training.

Additionally, this program is bundled with Python Programming self-learning course that will help you learn the basics of programming.

2. Do I need to download any software for the training?

We will be using OpenSource software like TensorFlow, Python, etc. You will be guided with instructions to install these during our training.

3. Any hardware requirements or specifications needed to attend the training?

All that you need is a computer/laptop with a high-speed internet connection for distraction-free learning.