Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Expand Your Knowledge of Artificial Intelligence

Course Cover

5

(6)

compare button icon
Offer Percent Icon

1 Coupon Available

Login To View All
Course Report - Expand Your Knowledge of Artificial Intelligence

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

3 months

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Effort

15 hours per week

icon

Teaching Type

Self Paced

Course Description

This program will help you to be a better Artificial Intelligence/ Machine Learning Engineer. It will show you how to apply classical AI algorithms to common problems. Projects and exercises will include search, optimization and planning. These techniques are used in Artificial Intelligence applications such as logistics, operations research and automation. These concepts are the basis for many of the latest advances in AI. Every project you create will allow you to show what you have learned in lessons and will become part of your career portfolio, which will prove your mastery of these skills for potential employers.

blur
blur

Highlights

blur

Rating & Reviews

Top 30 Percentile

blur

Course Credibility

Top 20 Percentile

blur

Career Impact

Top 5 Percentile

blur

Pedagogy

Top 5 Percentile

blur

Parameters

cv-icon

Course Credibility

Delivered through Udacity a renowned institution in the field, this course offers a comprehensive learning experience.

cv-icon

Pedagogy

Designed for newcomers to Machine Learning, this course provides a tailored and comprehensive overview, facilitating effective learning and understanding of the subject. It caters to beginners' needs, ensuring a smooth and engaging introduction to the Machine Learning field. An exceptional course in Machine Learning, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

cv-icon

Career Impact

This course is exceptional, ranking among the top 5 percentile in Machine Learning for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Machine Learning field.

cv-icon

Rating & Reviews

This highly acclaimed course is among the top-rated in Machine Learning, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Machine Learning.

Course Overview

projects-img

Job Assistance

projects-img

Personlized Teaching

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Basic knowledge of linear algebra and calculus

The ability to apply basic probability and statistics

Programming experience in Python

Some experience implementing computer science algorithms and object-oriented programming

The ability to run programs and interpret output from a command line terminal or shell

Access to a Windows, macOS, or Linux computer with Python 34 or later installed, and admin permissions to install new programs

What You Will Learn

Use constraint propagation and search to build an agent that reasons like a human would to efficiently solve any Sudoku puzzle

Build agents that can reason to achieve their goals using search and symbolic logic—like the NASA Mars rovers

Extend classical search to adversarial domains, to build agents that make good decisions without any human intervention—such as the DeepMind AlphaGo agent

Model real-world uncertainty through probability to perform pattern recognition

Target Students

Engineer

Developer

Course Instructors

Author Image

Peter Norvig

Research Director, Google

Peter Norvig is a Director of Research at Google and is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field.
Author Image

Sebastian Thrun

Instructor

As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.
Author Image

Thad Starner

Professor Of Computer Science, Georgia Tech

Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.

Course Reviews

Average Rating Based on 6 reviews

5.0

100%

Course Cover
Offer Percent Icon

1 Coupon Available
Get upto 40% Discount