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IIT/IIM Courses

Artificial Intelligence Courses

The best Artificial Intelligence courses help you move from basic concepts to building and deploying real AI systems. You gain Generative AI skills and prepare for job-ready roles across industries.

Learn from faculty at globally top-ranked universities

Earn an average salary hike of 51% after completion

Artificial Intelligence & Machine Learning - AI ML Courses

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Artificial Intelligence Course From Top Universities

Artificial Intelligence Courses (10)

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IIITB

bestseller

IIIT Bangalore

Executive Diploma in Machine Learning and AI

360° Career Support

Executive Diploma

12 Months

IIT Delhi

bestseller

IIT Delhi

Certificate Programme in Cybersecurity and AI Security

Certification

6 Months

background

IIIT-B & IIM, Udaipur

Chief Technology Officer & AI Leadership Programme

Certification

6 months

background

popular

IIT Kharagpur

Executive Post Graduate Certificate in AI-Native Software Engineering - IIT Kharagpur

Executive Post Graduate Certificate

8 Months

IIM Kozhikode

popular

IIM Kozhikode

Professional Certificate Programme in AI for Business Professionals

Certification

6 Months

background

popular

IIT Kharagpur

Executive Post Graduate Certificate in Building AI Products, Systems & Services - IIT Kharagpur

Executive Post Graduate Certificate

6 Months

IIITB

IIIT Bangalore

Executive Programme in Generative AI & Agentic AI for Leaders

India’s #1 Tech University

Dual Certification

5 Months

IIIT Bangalore logo

IIIT Bangalore

Executive Post Graduate Programme in Applied AI and Agentic AI

Certification

Building AI Agent

LJMU

popular

Liverpool John Moores University

Master of Science in Machine Learning & AI

Double Credentials

Master's Degree

18 Months

IIIT Bangalore logo

IIIT Bangalore

Executive Diploma in DS & AI

360° Career Support

Executive Diploma

12 Months

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Artificial Intelligence (AI) Course Projects: Learn by Doing

17+

Projects

Slide 1 of 18

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan and are not rejected.

Credit EDA Assignment

Credit EDA Assignment

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to… Know More

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them from the perspective of a business analyst.

Model Selection Case Study -Telecom Churn

Model Selection Case Study -Telecom Churn

Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customer… Know More

Face Mask Detection

Face Mask Detection

Create a custom object detector using the YOLO algorithm to detect the presence of face masks in the images of different people. 

Machine Translation System

Machine Translation System

You will build an attention based neural machine translation model translating from one language to another. 

Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa. CycleGAN model is used for producing T2 type MRI images given T1 type input MRI images.

Style Transfer using GAN's

Style Transfer using GAN's

Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa. CycleGAN model is used for producing T2 type MRI images gi… Know More

Predict the sales for a european pharma giant using a host of different types of variables. Apply VAR and VARMAX models to build the appropriate model.

Sales Forecasting

Sales Forecasting

Predict the sales for a european pharma giant using a host of different types of variables. Apply VAR and VARMAX models to build the appropriate mode… Know More

Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.

Sentiment analysis based Product Recommender system

Sentiment analysis based Product Recommender system

Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune… Know More

Eye for the Blind

Eye for the Blind

Build a model that can help any visually impaired person in understanding image present before them. 

Custom Entity detection in Healthcare data

Custom Entity detection in Healthcare data

You will build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset. 

Learners will use the Markov Decision Process & Q-Learning to build an RL agent that learns to choose the best request so as to maximise the total profit earned by the agent that day.

Maximising profit of cab driver using RL

Maximising profit of cab driver using RL

Learners will use the Markov Decision Process & Q-Learning to build an RL agent that learns to choose the best request so as to maximise the total pro… Know More

Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.

News Recommender System

News Recommender System

Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platfo… Know More

Gesture Recognition

Gesture Recognition

Make a Smart TV system which can control the TV with user’s hand gestures as the remote control  

Melanoma Detection Assignment

Melanoma Detection Assignment

Build a neural network from scratch in Tensorflow to identify the type of skin cancer from image. 

Train an agent to play Tic Tac Toe

Train an agent to play Tic Tac Toe

Learners will apply Q-Learning to train an RL agent to play the game of numerical Tic Tac Toe. 

Classification of customer complaints

Classification of customer complaints

Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank 

To create an ML system that can predict the propensity of customers cancelling the subscription plan. The aim of the project is to provide the marketing team with insights into why a customer is choosing to leave. This will assist in identifying the probability of customer churn in the future so that preventive action can be taken.

Customer Churn prediction

Customer Churn prediction

To create an ML system that can predict the propensity of customers cancelling the subscription plan. The aim of the project is to provide the market… Know More

Advanced Regression

Advanced Regression

Build a regularised regression model to understand the most important variables to predict. 

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI tools.

Airbnb Case Study

Airbnb Case Study

Understand the factors that drive the Airbnb business and help the team leads tackle problems and bottlenecks through extensive data analysis on UI to… Know More

Learn Artificial Intelligence From The Best Instructors

8

Instructors

8

Industry Experts

Slide 1 of 8
Dr. Atif Waraich, Instructor

Dr. Atif Waraich

Company logo

Faculty - Computer Science, LJMU

A Senior faculty of Engineering and Technology at LJMU who has multiple publications in the health care domain 

LJMU Profile
Prof. Dhiya Al-Jumeily, Instructor

Prof. Dhiya Al-Jumeily

Company logo

Faculty: Faculty of Engineering and Technology

A senior member of the IEEE and a chartered IT Professional, he is a fellow of the UK Higher Education ACademy 

LJMU Profile
Tricha Anjali, Instructor

Tricha Anjali

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Ex-Associate Dean, IIITB

Prof. Anjali has a PhD from Georgia Institute of Technology as well as an integrated MTech (EE) from IIT Bombay. 

LinkedIn ProfileLinkedin
Prof. Paulo Lisboa, Instructor

Prof. Paulo Lisboa

Company logo

Head of Dept - Applied Mathematics, LJMU - Retired

Studied mathematical physics at LU and was the chairman of Industrial Mathematics at KMJU in 1996 and Head of Graduate School in 2002 

LJMU Profile
Prof. G. Srinivasaraghavan, Instructor

Prof. G. Srinivasaraghavan

Company logo

Professor, IIITB

Prof. Srinivasaraghavan has a PhD in Computer Science from IIT-K and 18 years of experience with Infosys and several other MNCs. 

IIITB Profile
Debabrata Das, Instructor

Debabrata Das

Company logo

Director, IIITB

Dr. Debabrata Das is Director of IIITB. He has received his PhD from IIT-KGP. His main areas of research are IoT and Wireless Access Network 

IIITB Profile
Chandrashekar Ramanathan, Instructor

Chandrashekar Ramanathan

Company logo

Dean Academics, IIITB

Prof. Chandrashekar has a PhD from Mississippi State University and experience of over 10 years in several multinational organisations. 

IIITB Profile
Dr. Gabriela Czanner, Instructor

Dr. Gabriela Czanner

Company logo

Faculty - Engineering and Technology, LJMU

A Senior lecturer at Department of Applied Mathematics at LJMU. Her research focus is advanced statistics for decision support 

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What Our Learners Have To Say About Artificial Intelligence Course

Slide 1 of 5

Worth the price pursuing

Though I have been in the Analytics and ML space for a few years now, the programme curriculum I went through did help me tremendously during the interview process

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Sagar Pavan

Lead Data Scientist, Craftt

10 Years of Experience

Program curriculumn helped me in excellence

20 months Master of Science program on ML and AI, conducted by IIIT, Bangalore and LJMU, UK. This double degree program is managed by UpGrad Online learning platform.

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Angshuman Mukherjee

Principal Architect, LTIMindtree

23 Years of Experience

Makes you ready for the industry

A Master's degree will not only give you the edge but also enables you to prepare for the job market

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Samarjit Adhikari

Sr. Principal Software Engineer, Incedo

19 Years of Experience

This would not be an achievement without upGrad and IIITB

I am excited to start my first job with Ugam as Associate Analyst and this wouldnt be an achievement without upGrad and IIITB. Thanks to the team! March 2021 is the month of celebration and I believe new colours will now be a part of my new journey too. Wish you all a safe and happy holi!

LinkedInlinkedinMar 1, 2021
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Sakshi Maharana

Associate Analyst

9 Years of Experience

Thanks to upGrad for giving me the platform, knowledge and opportunity to apply for the job!

I am pleased to announce that I have joined CitiusTech as a Senior Software Engineer in the role of AI Engineer. I would like to thank upGrad and upGrad Placements for giving me the platform, knowledge and opportunity to apply for the job. Thank you Argha Mukherjee for your guidance and support during and post my job offer! You are really helpful and patient and I look forward to working with you. Thanks Udit Pathak for being so patient with all my questions and your suggestions!

LinkedInlinkedinOct 2, 2021
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Arpan Chattopadhyay

Senior Software Engineer - AI Engineer

8 Years of Experience

Artificial Intelligence Course Overview

The nature of work is changing fast for engineers, their products, and companies.

AI is not just about answering questions. It plans, acts, and even connects to machines, and it achieves results with little involvement from people. This change is setting the agenda for the future of Artificial Intelligence.

upGrad offers courses in Artificial Intelligence for professionals who need to get ready for this change. Whether you are a software engineer, a data analyst, or an entrepreneur, you will learn how to use Artificial Intelligence in your work.

This course is all about learning skills that you can use in your work. 

What Is Artificial Intelligence (AI)?

AI (Artificial Intelligence) is a technology for simulating human intelligence with computing machines for carrying out activities like language comprehension, problem solving, pattern recognition, and decision making. 

AI makes sense out of the data and creates outcomes based on the information gained. Unlike traditional systems that function within pre-set parameters, AI systems have the capability of improving with learning and dealing with new situations. 

Some of the widely used AI models include GPT-4, Claude, Gemini, Llama, and many more. The common ability of these AI models includes language comprehension, creating text, programming, summarizing, translation, and much more. 

How Does Artificial Intelligence Work?

In order to find patterns and produce results, artificial intelligence uses data, algorithms and machine learning models. Depending on the task, an AI system may process data, text, images, video or other information.

In an AI workflow, the following steps are performed:

  • Data collection: Gather the information needed for the task.
  • Data preprocessing: Clean and prepare the data for analysis or model training.
  • Model building: Using machine learning or deep learning methods to create a model.
  • Training: Train the model with the data to discover patterns.
  • Evaluation: Test the model to see how it performs.
  • Application: Use the trained model for prediction, classification, recommendation, automation or other AI tasks.

What Are the Main Applications of Artificial Intelligence?

Artificial Intelligence is used across many industries and helps you to complete tasks faster and with better accuracy. Some key applications of AI in different industries are:

Application

How AI Is Used

Product and Technology

Create product features, make the user experience better, automate testing and learn about how users behave.

Banking and Finance

Check risk, find activity, automate checks and help with making decisions.

Retail

Learn about how customers act, suggest products, handle demand and help with planning inventory.

Healthcare

Look at data to help with diagnosing and planning treatment and watch patient progress.

Marketing

Understand audience needs, improve targeting, create campaigns, and track performance.

Business Operations

Analyse data, reduce manual work, improve processes, and support business decisions.

E-commerce

Make recommendations, personally study how customers behave and help with planning demand.

Media and Content

Manage content and personalize user experiences.

Who Should Take an Artificial Intelligence Course Online?

An Artificial Intelligence Course Online can be useful if you want to apply AI to your work to increase productivity or move towards Artificial Intelligence-focused roles. You should take an AI Course in India if you are:

1. Working Professionals

If you already work in technology, data, business, or another professional field, an AI course can help you understand how AI can be applied to your work, to make your work easy.

You can learn to:

  • Apply AI to existing workflows
  • Work with data and AI models
  • Understand AI-based business applications
  • Build practical projects

2. Developers and Technical Professionals

Software developers, engineers, system designers, and technical professionals can use AI learning to work on more complex applications.

You can learn to:

  • Build AI-powered applications
  • Work with machine learning and deep learning
  • Understand model development and deployment
  • Work with Python and AI frameworks

3. Data and Analytics Professionals

If you work with data, AI skills can help you move from data analysis towards predictive models and AI applications.

You can learn:

  • Data preprocessing
  • Feature engineering
  • Machine learning algorithms
  • Model training and evaluation
  • Predictive analytics

4. Business and Product Professionals

Product managers, business heads, and professionals who work with business decisions can learn how AI supports products, operations, customer analysis, and decision-making.

You can learn to:

  • Identify AI use cases
  • Use data for product decisions
  • Understand AI workflows
  • Apply AI to business problems

5. Students and Career Switchers

If you are starting out and know basic Python, the upGrad’s Artificial Intelligence course for beginners helps you build your foundation step by step. You can:

  • Learn how AI works from scratch
  • Practice with simple projects
  • Build confidence in using AI tools

What You Will Learn in Artificial Intelligence Online Courses?

In the AI course, you will learn concepts like programming, mathematics, machine learning, deep learning, and finally, you will build and train your model that will make decisions and solve the problem on its own.

What You Will Learn in Artificial Intelligence Courses

Learning Area

Skills Covered

Practical Outcome

AI Foundations

AI concepts, applications, intelligent systems

Understand how AI is used to solve problems

Python and Data

Python, data preprocessing, feature engineering

Prepare data for AI and ML workflows

Machine Learning

ML algorithms, model building, training

Build models for prediction and classification

Deep Learning

Neural networks, CNNs, RNNs

Work with complex data such as images, text, and video

NLP

Text processing, language models, sentiment analysis

Build language-based AI applications

Generative AI

LLMs, prompt engineering, content generation

Work with modern Generative AI applications

Model Evaluation

Accuracy, precision, recall, F1 score, cross-validation

Measure and improve model performance

Model Deployment

APIs, cloud platforms, containers, monitoring

Move AI models towards real-world use

AI Tools and Technologies You Will Learn in Artificial Intelligence Course Online

Learning AI involves these common tools and technologies which are covered in upGrad’s AI courses:

Tools and Technologies Covered in Artificial Intelligence Courses

Tool or Technology Group

Examples

Purpose

Programming Languages

Python, R, SQL

Programming, data analysis, and database work

Data Tools

Pandas, NumPy

Data handling and numerical analysis

Visualisation

Matplotlib, Seaborn

Exploring and presenting data

Machine Learning

Scikit-learn

Building and evaluating ML models

Deep Learning

TensorFlow, PyTorch

Building and training neural networks

NLP Tools

NLP libraries, spaCy

Text processing and language applications

Development Tools

Jupyter Notebook, Google Colab

Writing and testing AI code

Development Platforms

Git, GitHub

Managing and maintaining projects

Cloud Platforms

Cloud AI environments

Training and deploying larger AI models

Hands-On Projects in upGrad Artificial Intelligence Courses

Learning any technology is not only sufficient by theory, that’s why upGrad’s Artificial Intelligence Course for beginners and advanced learners includes real-life projects to help you apply your learning and build a strong portfolio. 

Here are some of the projects that the upGrad Artificial Intelligence Course Online include: 

Project

Problem Statement

Tools / Techniques

Credit EDA Assignment

Analyse credit data and identify patterns related to loan repayment

Pandas, NumPy, data cleaning, visualisation

Telecom Churn Model Selection

Predict which customers may leave a telecom service

Classification, feature selection, Scikit-learn

News Recommender System

Recommend news based on user interests

Recommendation systems, user behaviour analysis

Face Mask Detection

Identify whether people are wearing masks from images

CNN, TensorFlow/Keras, computer vision

Machine Translation System

Translate text from one language to another

NLP, sequence models, deep learning

Gesture Recognition

Identify human gestures from video data

CNN/RNN, deep learning, video processing

Artificial Intelligence Course Eligibility and Prerequisites

The eligibility criteria for an AI Course in India depends on the program you choose. upGrad Artificial Intelligence Courses includes programs ranging from certificate-level learning to executive diplomas and master's-level programs, so eligibility is different for all levels.

Below are some of the certificate, diploma, master’s and leadership programs with their eligibility criteria:

upGrad AI Program

Eligibility Criteria

IIT Delhi - Certificate Programme in Cybersecurity & AI

Bachelor's or master's degree with a minimum of 50% marks and familiarity with any programming language.

Executive Diploma in Machine Learning & AI

Bachelor's or master's degree or equivalent in any discipline with a minimum of 50% aggregate marks or equivalent CGPA.

MSc in Machine Learning & AI from LJMU

Bachelor's degree with a minimum of 50%, successful completion of EPGP in ML from IIITB, and at least 1 year of technical work experience.

Chief Technology Officer & AI Leadership Programme

Bachelor's degree in any discipline with a minimum of 8 years of professional experience.

AI Courses vs AI Certification Course

The key difference between an AI course and an AI certification course is their duration. AI certification courses are mainly 3-6 months in duration, while the duration of AI courses ranges from 6 months to 3 years. 

Here are some other key differences between an AI program and an AI certification course:

Criteria

Artificial Intelligence Course

Artificial Intelligence Certification Course

Depth

Can cover AI from fundamentals to advanced topics

Usually validates a defined set of skills or learning

Duration

From 6 months to 3 years

Upto 6 months

Projects

May include multiple practical projects and assignments

May include projects depending on the program

Credential

May lead to a certificate, diploma, postgraduate credential, or degree

Provides a certification credential

Use

Build knowledge and practical AI skills

Demonstrate completion or knowledge in a defined area

Career Outcomes After an Artificial Intelligence Course

Here are some of the top roles that you can explore once you complete your course:

Role

What You’ll Do

AI Engineer

Create AI-powered applications, connect AI models with software, and add intelligent features to products.

Computer Vision Engineer

Help computers understand images and videos. Typical work includes face recognition, object detection, and image classification.

NLP Engineer

Make software understand human language through chatbots, text analysis, search systems, and language applications.

Machine Learning Engineer

Prepare data, train ML models, test their performance, and deploy them for real-world use.

Data Scientist

Turn large datasets into useful insights, identify patterns, and use data to answer business questions.

AI Solutions Architect

Decide how different AI technologies should work together and design the architecture for complete AI solutions.

Industries Hiring Artificial Intelligence Professionals

So many companies across different industries hire professionals skilled in Artificial Intelligence. Some of them are:

  • IT and Software/Product: In this industry, you have to build AI systems, improve the existing software products by enabling AI, and handle large applications.
  • E-Commerce and Retail: In this, you have to make models which can recommend products for customers based on previous purchase, improve the user experience by creating ML algorithms and manage inventory efficiently.
  • Banking and Financial Services: Banking and Financial Services industry is using AI to detect frauds, manage risk and support customer services, that’s why it needs a skilled AI professional.
  • Healthcare: Healthcare industry is using AI for managing the patient records, diagnosing the patient reports and scheduling appointments.
  • Telecommunication: Telecommunication industry is relying heavily on AI nowadays for protecting their customers from fraud calls, SMS and phishing attacks/links.

Everything You Need to Know About Artificial Intelligence

Artificial Intelligence is transforming industries and creating exciting career opportunities. To help you build a strong foundation and advance your AI skills, we’ve compiled a list of curated resources covering AI fundamentals, applications, projects, courses, and career insights. These blogs are organized to guide you step by step, from understanding AI to exploring job roles and salary trends.

Frequently Asked Questions about AI Course

1. What is an Artificial Intelligence course?

The Artificial Intelligence course will teach you how to build and deploy AI models that will help in predicting and classifying information and automating tasks and language processes. upGrad AI programs start with basic concepts, such as how AI systems function and how machines are trained using data, so you can build models that deliver accurate results.

2. What do you learn in an Artificial Intelligence course?

Artificial intelligence courses cover topics such as AI Fundamentals, Data Preprocessing, Feature Engineering, Machine Learning, Deep Learning, NLP, Generative AI, Model Training, and Evaluation and Deployment.

3. What are the best AI courses online for working professionals?

upGrad provides a wide range of Artificial Intelligence courses for working professionals, which include executive diplomas, certificates, executive postgraduate programs, and master's programs. These courses are offered in collaboration with the top institutes like IIIT Bangalore, IIT Kharagpur, IIM Kozhikode, IIT Delhi, and Liverpool John Moores University.

4. Which AI course online is best for beginners?

The best AI courses for beginners are the Generative AI Foundations Certificate Program and the Artificial Intelligence and Machine Learning Certification Program from upGrad. These courses not only cover advanced topics but also introduce the basics of AI, Python programming, and machine learning, along with real-world projects that help you learn the concepts practically, not just theoretically.

5. What are the eligibility requirements for an AI course?

The eligibility requirements vary across upGrad’s AI programs. For example, the Executive Diploma in Machine Learning & AI requires a bachelor’s or master’s degree with at least 50% marks. The MSc in Machine Learning & AI from LJMU requires a bachelor’s degree with 50% marks, completion of the EPGP in ML from IIIT Bangalore, and at least one year of technical work experience. The Chief Technology Officer & AI Leadership Programme requires a bachelor’s degree and a minimum of eight years of professional experience.

6. Do you need to know Python to learn Artificial Intelligence?

Having basic skills in Python programming is recommended while learning AI, especially when we talk about machine learning and deep learning. Many upGrad Artificial Intelligence Program cover the basics of Python programming, making it possible for people without any background in programming to build an adequate base before getting to more complicated AI topics

7. Do you need programming experience to learn Artificial Intelligence?

It is not always necessary to have programming experience to learn Artificial Intelligence. There are many introductory Online AI Programs where the basics of programming are taught before going into the machine learning part.

8. What mathematics do you need for AI?

Statistical, probabilistic, and linear algebraic fundamentals are good assets in dealing with AI. Some more complex topics could also include basic calculus knowledge. There is no need to have prior math skills before studying AI as the relevant math principles could be learned at the same time as AI learning and projects.

9. What technical skills are useful for AI?

Technical skills required in AI are Python Programming, Machine Learning, Deep Learning, and Data Analytics. Some basic understanding of Statistics and Linear Algebra would be beneficial. Skills like LLMs, Prompt Engineering, RAG, AI Agents, PyTorch, and Hugging Face could come handy for Generative AI.

10. How long does it take to complete an AI course online?

The duration of an Online AI Program depends on the particular course. For instance, upGrad’s AI courses in India are from five-months’ certificate courses to eighteen months’ master's degree courses, with some executive diploma courses taking twelve months to complete.

11. How much does an Artificial Intelligence course cost in India?

There is no single fee for an Artificial Intelligence Program because upGrad offers programs with different durations, credentials, and university partners. Check the individual programme page for the current fee, payment schedule, and available EMI options.

12. What is the difference between AI, ML and Deep Learning?

AI is the wider term for the creation of machines which can do things that normally require intelligence. Machine learning (ML) is a part of AI which allows systems to learn from data and make predictions or decisions.

Deep learning (DL) is a part of ML which involves using multi-layered neural networks for recognizing complex patterns in big amounts of data. To sum up, AI is the more general term, ML is the methodology, while DL is a particular method of ML.

13. What tools and technologies are taught in AI courses?

Depending on the course, some of the possible tools are: Python, R, SQL, Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, Tensorflow, PyTorch, natural language processing, Jupyter Notebook, Google Colab, Git, GitHub, cloud.

14. What projects can I build after an Artificial Intelligence course online?

upGrad's Artificial Intelligence Program includes projects such as Credit EDA, telecom churn prediction, face mask detection, machine translation, news recommendation, and gesture recognition. Other project examples include sales forecasting, GAN-based style transfer, and sentiment-based product recommendation.

15. What jobs can I get after completing an Online AI Program?

Career choices can range from AI Engineer, Machine Learning Engineer, Data Scientist, AI Analyst, Computer Vision Engineer, NLP Engineer, and AI Solutions Architect, among others, depending on individual competencies.

16. Is an online AI course useful for working professionals?

By taking online Artificial Intelligence Program, professionals get the option to study while working. Different programs offer various advantages ranging from structure to mentoring and interaction.

17. Which programming language should you learn for Artificial Intelligence?

Python is the main programming language used in AI training. In addition, there are some training programs that use R and SQL. The R is used in statistics while the SQL in databases. Python is used in machine learning, deep learning, and AI.

18. What is the difference between an AI course and an AI certification?

An Artificial Intelligence Program is a learning program through which you develop knowledge and practical skills, while an Artificial Intelligence Certification Course is a credential that confirms completion of defined training or assessment. AI courses may include projects, assignments, mentorship, and practical work beyond the credential.

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