Our AI & Machine Learning Courses Duration And Fees

AI & Machine Learning Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Generative AI for Business Transformation

Cohort Starts: 31 May, 2024

4 Months$ 3,350
Post Graduate Program in AI and Machine Learning

Cohort Starts: 3 Jun, 2024

11 Months$ 4,300
AI & Machine Learning Bootcamp

Cohort Starts: 3 Jun, 2024

6 Months$ 10,000
Applied Generative AI Specialization

Cohort Starts: 11 Jun, 2024

4 Months$ 4,000
Professional Certificate Program in No Code Machine Learning

Cohort Starts: 12 Jun, 2024

4 Months$ 2,565
AI and Machine Learning Bootcamp - UT Dallas6 Months$ 8,000
Artificial Intelligence Engineer11 Months$ 1,449

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AI & Machine Learning Courses Advisors

  • Amitendra Srivastava

    Amitendra Srivastava

    Chief Data Scientist at Intelytica

    Amitendra’s expertise lies in utilizing data analysis and machine learning techniques to solve complex business problems and drive strategic decisions. As Chief Data Scientist, he leverages the power of data to create value and drive innovation.

    Twitter  LinkedIn
  • Ankit Virmani

    Ankit Virmani

    Data & ML Leader at Google

    Ankit is an ethical AI and data engineering enthusiast with 10+ years of experience at firms like Google, Amazon, and Deloitte. He serves as a member of the Forbes Technology Council, IU's Institute of Business Analytics, and AI 2030.

    Twitter  LinkedIn
  • Arijit Mitra

    Arijit Mitra

    Director and Head of Machine Learning & AI at Pegasystems

    Arijit is an engineering & product leader with expertise in building and deploying AI, NLP, GPT & LLMs at scale for Fortune 500 companies. As head of AI & ML at Pega, he owns the overall AI roadmap with a focus on AI applications across functions.

    Twitter  LinkedIn
  • Armando Galeana

    Armando Galeana

    Founder and CEO at Ubhuru Technologies

    A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.

    Twitter  LinkedIn
  • Dr. Balasubramanian R

    Dr. Balasubramanian R

    Professor at IIT Roorkee

    Esteemed Professor at IIT Roorkee, holding a Ph.D. in Mathematics and Computer Science from IIT Madras. With over 20 years of teaching experience, he advocates the latest AI/ML and Data Analytics trends in his teachings, a valuable asset to our program.

    Twitter  LinkedIn
  • Dr. Sudeb Dasgupta

    Dr. Sudeb Dasgupta

    Professor at IIT Roorkee

    Respected Professor at IIT Roorkee, with a Ph.D. in Electronics Engineering from BHU. His deep understanding of electronics and view on leveraging Generative AI brings a unique perspective to this program

    Twitter  LinkedIn
  • Manish Anand

    Manish Anand

    CEO at iHUB DivyaSampark, IIT Roorkee

    Leading as CEO at iHUB DivyaSampark, IIT Roorkee. An alumnus of IIT Kanpur with an MBA from KAIST, Manish is a seasoned innovator, fostering technological innovation at IHUB  with a keen interest in AI & ML and analytics domain, making him an ideal advisor for our program.

    Twitter  LinkedIn
  • Raghav Goel

    Raghav Goel

    Generative AI & Data Science Consultant

    A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

    Twitter  LinkedIn
  • Rick Hefner

    Rick Hefner

    Caltech CTME, Executive Director

    Dr. Rick Hefner serves as the Executive Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

    Twitter  LinkedIn
  • Venkata N Inukollu

    Venkata N Inukollu

    Assistant Professor, Purdue University

    Venkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.

    Twitter  LinkedIn
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AI & Machine Learning Learner's Reviews

  • Hans Friedhoff

    Hans Friedhoff

    Senior Manager, Digital Communications

    After completing the bootcamp, I transitioned to a Machine Learning Engineer within my organization. I was also able to obtain an 18% salary increase.

  • Fritz Canon

    Fritz Canon

    Project Manager Business Development

    My overall experience with Simplilearn was extremely positive and enriching. One aspect that stood out to me was the comprehensive curriculum offered by Simplilearn. The course content was well-structured and covered all the essential topics related to my chosen field of study.

  • Tony Vigna

    Tony Vigna

    The overall experience was outstanding. Since I am a working professional, I enjoy a flexible schedule. The classes were on weekends and did not collide with the working hours. So, it was conducive. The best part is that they take feedback regularly and work on it to improve the learning experience for the students.

  • DeAngelo Kelly

    DeAngelo Kelly

    Artificial Intelligence Engineer

    After completing this course, I was considered for new AI projects at my company, and my salary increased by 39%. Simplilearn's flexible learning method helped me manage my job simultaneously while studying.

  • Byron Bo Jones

    Byron Bo Jones

    Transformation Project Engineer

    I am thrilled to share that I have completed Postgraduate Program in Artificial Intelligence and Machine Learning from Purdue University in collaboration with IBM and Simplilearn. I look forward to career advancement and participation in solving industry-aligned Artificial Intelligence and Machine Learning problems.

  • Chris Hayes

    Chris Hayes

    I was able to keep up and comprehend all the courses presented and learned a bunch about programming in Python along the way. I'm looking forward to having the opportunity to work in the field and learning yet more!

  • Carlson Ituka

    Carlson Ituka

    Regional Manager( Northeast)

    My overall learning experience was very enriching. This program helped me gain knowledge in data science and I am now looking forward to grabbing a role in the IT sector. The course content was elaborate and the instructors were very knowledgeable and ready to help.

  • Mark Hayes

    Mark Hayes

    I had a great learning experience, overall. The course content met the quality standards and the instructors were highly knowledgeable. The live classes were engaging,too. After the course completion, I am now working as a consultant.

  • Bibhu Dash

    Bibhu Dash

    BDA-Claims Analytics at American Family Insurance

    I joined Simplilearn with great expectations, as it was recommended to me by a colleague. However, after putting in many hours in the live training, projects, quizzes, and reading materials, now I am feeling much more confident in my work environment. I am very pleased with the course and hope it will help me in my future career growth.

  • Diego Sabajo

    Diego Sabajo

    Co-Founder

    My learning experience with Simplilearn was outstanding. The course material is very thoughtfully designed. The way of explaining was simple and easy to understand. The instructors were good; the support was really helpful. I recommend this course to others who want to start something in the AI domain.

  • Sudipta Samanta

    Sudipta Samanta

    The courses are well-structured with self-learning, live classes, projects & assessment. The trainers are well trained, connect well with the students, and are good at resolving your questions. The course content is excellent. In the DS course, for instance, they have gone through the right amount of statistics and linear algebra.

  • Venkatesan Sundaram

    Venkatesan Sundaram

    Senior Data Scientist

    I absolutely enjoyed my classes at Simplilearn. I learned a lot of new and interesting concepts. This course covered important AI topics including, image processing, deep learning, etc. The real life examples helped us understand the concepts better.

  • Filipe Theodoro

    Filipe Theodoro

    Internship at ProcSiMoS

    Simplilearn's course gave me the basic knowledge required to start building my own models, from organizing and selecting the data to run and testing the models. Also, the trainers were very clear when explaining and gave us lots of tips.

  • Filipe Theodoro

    Filipe Theodoro

    Machine Learning Engineer

    This course gave me the basic knowledge required to start building my own models, from organizing and selecting the data to run and testing the models. Also, the trainers were very clear when explaining and gave us lots of tips.

  • Indrakala Nigam Beniwal

    Indrakala Nigam Beniwal

    Technical Consultant

    I completed a Master's Program in Artificial Intelligence Engineer with flying colors from Simplilearn. Thanks to the course teachers and others associated with designing such a wonderful learning experience.

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Industry Projects

  • Project 1

    Ecommerce

    Develop a shopping app for an e-commerce company using Python.

    View Program
  • Project 2

    Food Service

    Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.

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  • Project 3

    Retail

    Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.

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  • Project 4

    Production

    To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.

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  • Project 5

    Real Estate

    Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.

    View Program
  • Project 6

    Entertainment

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

    View Program
  • Project 7

    Human Resources

    Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.

    View Program
  • Project 8

    Shipping

    Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.

    View Program
  • Project 9

    BFSI

    Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.

    View Program
  • Project 10

    Healthcare

    Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.

    View Program
  • Project 11

    Healthcare

    Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.

    View Program
  • Project 12

    Automobile

    Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.

    View Program
  • Project 13

    Tourism

    Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.

    View Program
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Know more about AI & Machine Learning

A Brief Overview Of AI And Machine Learning Courses

Courses focusing on artificial intelligence (AI) are the programs that help you learn about the entire AI environment. Such Ai and Machine Learning courses are basically outlined at developed and novice levels and may be pursued at the student's convenience and against a particular enrolment cost. While not all the courses require you to learn Python, C++, or MATLAB, having some familiarity and background with these programming languages is worthwhile.

The Motive Of AI And Machine Learning Courses

Due to the increased need for professionals with AI and machine learning skills, acquiring a certification in such domains might help open new doors for you. These Ai and Machine learning courses will sharpen your analytical thoughts, conceptualising techniques, and ability to analyze data. You will have all the intelligence and proficiency you need to succeed in this fast-paced industry if you have an AI and machine learning certification. 

The Ever-Expanding Global Need For Artificial Intelligence and Machine Learning Courses

Given the growing complexity of the world's stats, AI and machine learning courses can ensure that ambitious professionals get prepared and qualified appropriately with the ability to confront issues in real life. Students may create a composite set of instructions for forecast models, deep neural networks, and other applications with AI and machine learning. 

Moreover, such abilities may also lead to new possibilities in fields like marketing, real estate, banking, healthcare, and more that need a thorough grasp of AI and machine learning programs. Thus, if you need to keep one step ahead of the game this year, consider enrolling in AI and Machine Learning courses.

The Courses Available On Simplilearn For AI And Machine Learning Explore Various Domains

Programming, NPL, maths, coding, and CS, along with other areas, are all included in artificial intelligence. The programs on AI will go over noteworthy domains like;

  • Machine Learning (ML) -  As a domain of Artificial intelligence, Machine learning allows computers to autonomously acquire knowledge through data while recognizing trends to develop forecasts with minimum human involvement.

  • Deep Learning - Deep learning acts exactly how specific knowledge is acquired by humans. It is possible to train deep learning models to classify data and find patterns in images, text, auditory, and other data.

  • Predictive Analysis - Predictive analytics, a subdivision of artificial intelligence, is a demographic-based technique utilized by data analysts to create inferences and test data to anticipate the chance of a specific forthcoming result.

  • Cloud Computing - AI cloud computing is integrated directly into the composition to automate repetitive tasks and organize work responsibilities. Private and non-private backend platforms may be observed, controlled, and self-repaired using AI techniques in a multi-cloud system.

  • Data management - Artificial intelligence is efficient enough to create records and automate inquiries via different data storage. Thus, by analyzing and developing real-time data, AI enhances cloud task loads like client relations, marketing, business planning software, and business logistics management. 

The Benefits Of Enrolling In Courses Like AI And Machine Learning

A simple and flexible approach to advancing your understanding of artificial intelligence or developing new abilities is to enroll in online courses. Check out the advantages of seeking a profession in artificial intelligence;

Machine Learning Is The Ultimate Future Skill 

Machine learning is expanding aggressively, yet there are not enough experts in the industry. A career in machine learning will be secure for you if you can match the expectations of big businesses by becoming an expert in the field.

Develop Yourself Via Learning 

Since AI and machine learning are in high demand, getting into the industry earlier will allow you to have hands-on experience with the latest trends and maintain an elevated level of marketability that will increase your worth to the company.

Become More Adept At Solving Problems In Programmes

Your ability to solve problems methodically will improve by taking AI & machine learning courses. You will discover approaching and resolving complicated issues systematically with such programs.

Create A Successful And Rewarding Profession 

The main reason AI & machine learning appears like rewarding job to many of you is the average income of a person in this career, which might go higher as time goes on, given the industry's growth.

The Advantages Of Selecting Simplilearn For AI and Machine Learning Course

Courses like ai & machine learning offered by the online learning platform Simplilearn provide in-depth topic expertise. Additionally, it gives several immeasurable benefits, including;

  • Engaging conversations in real time

  • Discover ChatGPT, OpenAI, and more well-known technologies.

  • Specialized hackathons 

  • IBM's Q&A sessions

  • Experts in the field provide live online master courses

  • Certificate of Completion of the Programme

  • Top recruiting organizations will take notice of you, thanks to JobAssist.

  • Experiential, practical learning

The Cost, Duration, And Eligibility Criteria For Simplilearn's AI And Machine Learning Courses

There are considerable employment possibilities for students willing to enroll in online courses like ai & machine learning by Simplilearn at affordable fee structures. You must acknowledge the simple requirements, cost-effective fees, and durations for such programs.

Course Name

Duration

Course Fee

Eligibility Requirements

Professional Certificate In Artificial Intelligence And Machine Learning

11 months

INR 1,53,400

  • A bachelor's degree with average grades of at least 50%

  • 2+ years of experience in the workplace

  • Previous understanding or expertise in arithmetic and programming

PG Program In Artificial Intelligence And Machine Learning

11 months

INR 1,49,999

  • Preferably 2+ years of career experience

  • an undergraduate degree with a minimum average of 50%

  • Fundamental knowledge of arithmetic and programming principles

Engineer In Artificial Intelligence Under Master's Course

11 months

INR 54000

Not Available

A Once-In-A-Lifetime Chance To Acquire Certificates From Internationally Established Universities

You have no better reason than to obtain certificates from the International University Of Applied Science, IBM, IIT Kanpur, MIT, Wharton University of Pennsylvania, Purdue University, and Simplilearn upon acquiring ai and machine learning courses. These certifications will authenticate your expertise in artificial intelligence & machine learning and allow you to hold a prominent position in reference to job prospects.

Possibilities For Employment And Earnings After Completing AI And Machine Learning Courses

If you sign up for AI & machine learning courses with the Simplilearn platform, you will gain access to a wide range of employment prospects. Take a look at some lucrative career paths and the incomes that go with them;

Career Path

Average Annual Pay

Big Data Analyst

$80,105 per year 

User Experience (UX) Designer/Developer

$86,626 per year

Researcher

$77756 per year

Software Engineer

$1,39,705 per year

Business Intelligence (BI) Developer

$1,09,726 per year

Data Mining and Analysis

$1,14,727 per year

Research Scientist

$1,59,206 per year

Robotics Engineer

$1,05,773 per year

Big Data Engineer/Architect

$1,17,973 per year

Computer Vision Engineer

$132,830 per year

AI & Machine Learning Courses FAQs

  • Which AI and Machine Learning courses are best for beginners?

    Here is the best foundation program in AI and Machine Learning for beginners:

  • Which are the best programs and courses in AI and Machine Learning for intermediates?

    Here are some of the best AI and Machine Learning courses for intermediates:

  • Which are the advanced programs in AI and Machine Learning?

    Here are some of the best advanced-level programs in AI and Machine Learning:

  • What is the current state of the AI and Machine Learning job market?

    The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of Artificial Intelligence could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI. 

  • What are the top job titles in the field of AI and Machine Learning?

    Some of the most popular job roles in the field of AI and Machine Learning include: 

    • Machine Learning Engineer
    • Deep Learning Engineer
    • NLP Engineer
    • Artificial Intelligence Engineer
    • AI Architect
    • Technical Product Manager
    • Data Scientist 

  • What is the average salary of AI and Machine Learning professionals?

    Machine Learning Engineers have lucrative salary prospects globally, earning an average of $114,000 in the United States. With experience and in-depth knowledge, Machine Learning Engineers can earn as high as $150,000 per year. 

  • Which are the top industries suitable for AI and Machine Learning professionals?

    Industrial sectors such as information technology, FinTech, healthcare, BFSI, and ecommerce are best suited for AI professionals.

  • Which are the top hiring companies for AI and Machine Learning professionals?

    Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft. 

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.