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GREAT LEARNING ACADEMY

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Prompt Engineering for ChatGPT

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Prompt Engineering for ChatGPT

4.6

20.1K+ Learners Beginner

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Generative AI for beginners

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ChatGPT for Excel

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ChatGPT for Excel

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Introduction to Neural Networks and Deep Learning

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Getting Started with Gemini AI (Bard)

FREE

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Cyber Security Threats

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Data Visualization With Power BI

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Microsoft AzureEssentials

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Artificial Intelligence

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Cyber Security

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IT & Software

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Success stories

Can Great Learning Academy courses help your career? Our learners tell us how.

The AI for Leaders program was thoughtfully designed to include a high level of exposure to experts practicing in the field. Each topic was covered in enough detail to build a solid knowledge base.

Chris Hegeman

Director of Marketing Analytics & Business Intelligence- Embedded Technology/ IoT

Dell, Inc, US

The learning experience was very enriching and the mentors and advisors were very supportive all along. I'm extremely glad I signed up for the program. I definitely got what I wanted from the program and strongly recommend it.

Javier R. Olaechea

Data Solution Integration Advisor

ExxonMobil, US

I found the Data science program to have the perfect combination of relevant content, flexibility, academic rigor, and practical content that allowed me to immediately put all into practice at work.

Gabriel Arbe

Director of Operations, Latin America

VMWARE, US

The AI for Leaders program has been a great learning experience with right levels of depth and breadth across the subject. It is a well administered program which enhanced my learning experience.

Raghavendra P Setty

Vice President

Charles Schwab & Co. In, US

I believe the AIML course is of high-quality, and all the instructors are highly prepared in every topic. I also believe our Mentor is doing a fantastic job every week, and his personal insights and additions to the materials are very valuable.

Gaston Alvarado Maza

Global Category Manager

Materion Corporation,US

The data science journey was full of intense learning, but the best experience I have had. I would be willing to do it over and over again. I will highly recommend it. Thank you The University of Texas and Great Learning!

Kati Laev

Customer Service Administrator

CMT Limited UK

The program was flexible and increased my understanding of AI and the processes for integrating it into business. I would highly recommend this program to business professionals who want to understand AI and its applicability in projects better.

Hugh Hanlon

Defense Research Analyst-Associate, Booz Allen Hamilton (United States)

Booz Allen, US

The AIML program has given me solid foundational knowledge around Python, AI, and ML. The program content was very well-curated, and it covered the right things in the right depth for a program like this.

Pertuso Dryonis

Sr. Advisor Applied Data Analytics, Hess Corporation (United States))

Hess, US

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Frequently Asked Questions

What is Great Learning Academy?

The Great Learning Academy is a free learning platform by Great Learning where you can upskill with thousands of free courses, all of which include certificates.

Are there any hidden charges or fees associated with the courses?

All the courses listed under Great Learning Academy are completely free. The certificate you will receive after course completion is also free.

How many free courses can I enroll in at the same time?

You can enroll in as many free courses as you want.

Can these free courses help me get a job?

Free courses can boost your chances of getting a job by enhancing your knowledge and skills. Earning a certificate can further add weight to your resume and validate your abilities for employment.

How will I get the course completion certificate?

Each course has a Quiz or assignment at the end. If you pass it, the certificate will be available on your dashboard within 24 Hours.

Is there any time duration for completing these courses?

All the free courses are self-paced. You can complete them at your convenience.

Do I need any skills or experience to enroll in these free courses?

You will not require any skills or experience for beginner-level courses. However, you may need some prerequisites for intermediate or advanced courses. If any prerequisites are needed, they will be mentioned in the course itself.

How can I enroll in these courses?

You can enroll in these courses with your Email address or Google account.

What are my next learning opportunities after completing any free courses?

You may consider taking the professional programs we offer in collaboration with top global universities. These programs are taught by the world’s renowned faculty and professionals who mentor you to achieve a successful career.

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Explore 1000+ Free Courses

Explore 1000+ Free Courses

Explore new and trending free online courses

Prompt Engineering for ChatGPT

Generative AI for beginners

ChatGPT for Excel

Introduction to Neural Networks and Deep Learning

Getting Started with Gemini (Bard)

Cyber Security Threats

Data Visualization With Power BI

Microsoft Azure Essentials

Prompt Engineering for ChatGPT

Interview Preparation using Bard

Customer Service Essentials

Introduction to Google Ads Campaign

How to Build your own Chatbot using Python?

Google Bard for Coders

Basics of Data Visualization for Data Science

Explore Free Online Courses

ChatGPT for Beginners

Introduction to Artificial Intelligence

Basics of Machine Learning

Introduction to Computer Vision

Intro to Exploratory Data Analysis with Excel

ChatGPT for Excel

Basics of Python Data Wrangling

Foundations of Data Visualization using Tableau

ChatGPT for Beginners

ChatGPT for HR

ChatGPT for Business Communication

ChatGPT for Content and SEO

Getting Started with Gemini (Bard)

Getting Started with ChatGPT-4

ChatGPT for Excel

ChatGPT for Digital Marketing

ChatGPT for Coders

Introduction to Artificial Intelligence

Introduction to Neural Networks

Introduction to Deep Learning

Introduction to Computer Vision

Digital Image Processing

Introduction to Tensorflow and Keras

Convolutional Neural Networks

Applications of AI

Introduction to Natural Language Processing

Data Visualization using Python

Statistics for Machine Learning

Probability and Probability Distributions for Machine Learning

Basics of EDA with Python

Machine Learning Pipeline

Supervised Machine Learning with Logistic Regression and Naïve Bayes

Supervised Machine Learning with Tree Based Models

Basics of Machine Learning

Unsupervised Machine Learning with K-means

Introduction to Cyber Crime

Introduction to Cryptography

Introduction to Information Security

Introduction to Ethical Hacking

Advanced Cyber Security - Threats and Governance

Ethical Hacking - Mobile Platforms and Network Architecture

Types of Cyber Security

Cyber Security Threats

Introduction to Firewall

Excel for Data Science for Beginners

Intro to Exploratory Data Analysis with Excel

Data Analytics using Excel

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Cloud Computing Foundations

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