Artificial Intelligence - Getting started with AI and ML (Udemy.com)

Last course you need in Artificial Intelligence & Machine Learning. Go from "Hello World" to complete projects of ML.

( 7 Reviews )

Created by: Aalekh Rai

Produced in 2021

What you will learn

Project 1: Complete ML project of IRIS flower dataset
Project 2: Complete ML project of Digit recognition system
How to write "Hello world" of Machine Learning?
How to develop basic programs and complete projects of Machine Learning?
What is AI and What is ML?
How AI and ML are different but related?
What are DL, NLP, ANN, DNN and how they are related to AI?
What are top Python libraries for Machine Learning?
Why SK-learn library is kind of 'complete library' for ML with python?
What is Anaconda, Spyder, Jupyter etc. How and why do we use them for Machine Learning?
What are classifiers and models in ML?
What are supervised, unsupervised, regression, classification, clustering in ML?
What are evaluation methods for regression, classification and clustering?

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 80 / 100

Course Description

Artificial Intelligence and Machine Learning doesn't have to be hard and complex if we approach it in right way. Sometimes, we need to have a complete working model to understand the basic concept. And this course is going to deliver you the same.
Course objective:
The sole objective of this course is to get you introduced with AI (Artificial Intelligence) and ML (Machine Learning). All the programs and projects that we are going to develop, are using Python programming language. So, You need Python knowledge.
If you are not familiar with Python programming language, You can take our FREE course on Python.

Learning outcomes:
After completing this course and assignments given to you, you will have:

Multiple programs developed for Machine Learning
Multiple complete projects developed for Machine Learning
A complete ML model developed

For concept seeker in you, you shall be able to answer these questions comfortably:

What is AI and What is ML?
How AI and ML are different but related?
What are DL, NLP, ANN, DNN etc.?
What is Anaconda, Spyder, Jupyter etc. and how and why do we use them for Machine Learning?
What are classifiers and models in ML?
How to develop programs and projects of Machine Learning?

For the developer in you, you shall be comfortable with:

Machine learning development environment with Python.

Who this course is for:

Beginners curious for AI (Artificial Intelligence) and ML (Machine Learning).
Engineering students who wants to learn AI and ML.
Corporate professionals who wants to understand basic development in AI and ML.
Trainers and teachers who wants a start in Artificial Intelligene.

Time: 1h

Instructor Details

Aalekh Rai

4.0 Rating
7 Reviews

He is founder of KARD ( KARD is a pioneer company in Training domain since from 2015). He has delivered more than 300 training sessions across INDIA covering institutions like IIT, NIT, NSIT, AMITY, DTU, BITS etc.
Artificial Intelligence, Machine Learning and Internet of Things are the key areas where he takes technical workshops and training sessions across the country.

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Reviews

4.0

7 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Julie Jolk

This is difficult to get through. I'm on Section 2 Chapter 5 and a lot of the time seems padded to make the course seem longer. On and on in Chapter 4 about Google technologies without much knowledge shared. I'm interested in the subject but I'll find something other than this course.

By Jameson Hill

So far, it has been presented at just the right level to give me a better understanding of the concepts despite not being a data scientist myself.

By Ameya Shetti

Nice tutorial. Great way to get started. Could have done better.

By Neel Rajeev Huzurbazar

The course was actually very good. It helped me to get understanding of "Ai" and "Ml" .

By Sumit Raj

Nice course to start with A.I

By Roberto

The videos have a lot of fade out/fade in. The content is fine.badly presented.

By Ravi Venkatesh

Overall, its a good course to get introduced to AI and ML. However, a lot of terms are left for self exploration or are explained in a very basic way. I had to google half of the stuff to get better idea of what the person was saying. The videos skip between lecture and text slides very often and this is bit annoying. Why not simply speak what you want to convey in the slides? If you really want to keep the current structure, increase the amount of time the text is shown. I do not like that I need to keep pausing the video multiple times.