• Learning Format Self-Paced Learning

World’s #1 Online Bootcamp

Why Join this Program

Caltech Academic Excellence

Earn a program certificate and up to 22 CEU credits from Caltech CTME

IBM’s Industry Expertise

Obtain industry-recognized IBM certificates for IBM courses and get access to masterclasses by IBM

Caltech CTME

Earn a membership to Caltech CTME circle and an online convocation by the Caltech program director.

Exposure to Latest AI trends

Attend live online classes on generative AI, prompt engineering, explainable AI, ChatGPT, and more

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Fast-track Your Career

Our Artificial Intelligence course comes with Simplilearn’s Career Assistance service that has demonstrated strong performance by means of average salaries offered, the number of hiring companies participating, and the pace of job offer roll-outs.

Our Placement Stats

Maximum salary hike

150%

Average salary hike

70%

Hiring partners

2900+

Our Alumni In Top Companies

Artificial Intelligence Course Overview

Take your AI and ML career to new heights with our all-encompassing Artificial intelligence Course. Expand your knowledge in areas like machine learning, deep learning, NLP, computer vision, generative AI, explainable AI, prompt engineering, ChatGPT, and more. Prepare yourself for a thriving career in AI and ML with this course.

Key Features

  • PGP AI & ML completion certificate from Caltech CTME
  • Masterclasses delivered by distinguished Caltech faculty and IBM experts
  • Caltech CTME Circle Membership
  • Earn up to 22 CEUs from Caltech CTME
  • Online convocation by Caltech CTME Program Director
  • Live interactive sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Gain exposure to ChatGPT, OpenAI, DALL-E, Midjourney & other prominent tools
  • Industry-relevant capstone projects in 3 domains
  • 25+ hands-on projects with seamless access to integrated labs
  • IBM certificates for IBM courses
  • Access to hackathons and Ask Me Anything sessions from IBM

AI Certificate Course Advantage

Our extensive program empowers you to thrive in your career by providing essential skills and knowledge. Through a well-structured learning approach and industry-relevant projects, you'll tackle complex challenges to remain at the forefront.

  • Program Certificate

    Partnering with Caltech CTME

    • Masterclasses delivered by distinguished Caltech instructors
    • Program completion certificate from Caltech CTME
    • Earn up to 22 CEUs to showcase your achievements
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-certified IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Hackathons from IBM

AI Online Course Details

Unlock your potential as an Artificial Intelligence and Machine Learning professional with industry-relevant AI course. In this artificial intelligence course, you will learn about various AI-based technologies.

Learning Path

  • Induction for Caltech Post Graduate Program in AI and Machine Learning

    Welcome to this Artificial Intelligence Course, developed and presented with Caltech CTME and IBM, which will help you become an AI & ML domain expert.

  • PGC AIML Foundations: Mathematics & Statistics Essentials

    The Mathematics and Statistics Foundations course establishes a strong mathematical and statistical principles base, fostering critical thinking and problem-solving skills. This course equips students with the ability to analyze data, make informed decisions, and apply these techniques to relevant industry scenarios. It serves as an essential starting point for further learning in the program.

  • PGC AIML Foundations: Programming Refresher

    This course provides you with essential Python programming skills that will serve as the building blocks for your entire program journey. You will learn how to effectively implement artificial intelligence (AI) and machine learning (ML) algorithms, conduct data analysis, and construct intelligent systems efficiently using Python

  • PGC AIML - Foundations: Python for Data Science (IBM)

    Developed by IBM, this course equips students with the skills to leverage Python for data science. By the end of the course, participants will be proficient in writing Python scripts and performing hands-on data analysis using a Jupyter-based lab environment.

  • PGC AIML Core: Applied Data Science with Python

    This course provides coverage of key concepts in data science, such as data preparation, model development, and evaluation. Throughout the course, you will develop a strong understanding of fundamental Python concepts such as strings, Lambda functions, and lists. You will explore various important skills such as Z-test, T-test, and ANOVA. Furthermore, you will acquire data visualization skills using popular libraries like Matplotlib, Seaborn, Plotly, and Bokeh.

  • PGC AIML Core: Machine Learning

    This course comprehensively covers various types of machine learning and their practical applications. You will explore the machine learning pipeline and delve into topics such as supervised learning, regression models, and classification algorithms. You will also study unsupervised learning, including clustering techniques and ensemble modeling. Evaluate machine learning frameworks like TensorFlow and Keras, and build a recommendation engine with PyTorch.

  • PGC AIML - Core: Deep Learning with TensorFlow (IBM)

    Elevate your machine learning skills to the next level with this comprehensive course on deep learning using TensorFlow and Keras. Gain a thorough understanding of deep learning concepts, empowering you to construct artificial neural networks and navigate through complex data abstraction layers. By harnessing the potential of data, this course prepares you to venture into new frontiers of Artificial Intelligence.

  • PGC AIML Core: Deep Learning Specialization

    This comprehensive course provides you with the necessary skills to deploy deep learning tools using AI/ML frameworks. You will explore the fundamental concepts and applications of deep learning and understand the distinctions between DL and ML. The course covers a range of topics, including neural networks, forward and backward propagation, TensorFlow 2, Keras, model interpretability, CNNs, transfer learning, object detection,RNNs, autoencoders, and creating neural networks in PyTorch.

  • PGC AIML Core: Essentials of Generative AI, Prompt Engineering & ChatGPT

    This comprehensive course thoroughly explains generative AI models, specifically focusing on ChatGPT. Participants will acquire practical skills to leverage ChatGPT for building and deploying AI chatbot applications effectively. The course covers topics such as generative AI, explainable AI, prompt engineering, fine-tuning, ethical considerations, and the future of generative AI.

  • PGC AIML - Capstone

    The capstone project allows you to implement the skills you learned throughout this bootcamp. You will solve industry-specific challenges by leveraging various AI and ML techniques. The capstone project is the final step in the core learning path and will help you showcase your expertise to employers.

Electives:
  • PGC AIML - Academic Masterclass

    Attend an online interactive masterclass and get insights about advancements in technology/techniques in AI and Machine Learning by Caltech

  • PGC AIML - Industry Masterclass

    Attend this online interactive industry master class to gain insights about advancements in AI and Machine Learning techniques

  • PGC AIML Advanced: ADL & Computer Vision

    In this advanced course, you will gain in-depth knowledge and practical skills in computer vision and deep learning techniques. The course covers various topics, including image formation and processing, convolutional neural networks (CNNs), object detection, image segmentation, generative models, optical character recognition, distributed and parallel computing, explainable AI (XAI), and deploying deep learning models.

  • PGC AIML Advanced: NLP and Speech Recognition

    This advanced course comprehensively explores applying machine learning algorithms to process vast amounts of natural language data. It focuses primarily on natural language understanding, feature engineering, natural language generation, automated speech recognition, speech-to-text conversion, text-to-speech conversion, voice assistance devices, and building Alexa skills.

  • PGC AIML Advanced: Reinforcement Learning

    This course delves into the core concepts of reinforcement learning (RL), providing you with the knowledge and skills to solve RL problems using various strategies in Python and TensorFlow. You will learn the theoretical foundations of RL and gain practical experience in applying RL algorithms as a problem-solving strategy. By the end of the course, you will be equipped with the skills to use reinforcement learning in diverse applications and scenarios effectively.

Contact Us

1-844-532-7688

( Toll Free )

Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Machine Learning Algorithms
  • Supervised and Unsupervised Learning
  • Model Training and Optimization
  • Model Evaluation and Validation
  • Ensemble Methods
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Reinforcement Learning
  • Speech Recognition
  • Statistics

Tools Covered

ChatGPTDalle.2Mid-journeypythontensorflowkerasMatPlotlibNLKTScikitLearnOpen CVNumPySelenium FSD

Industry Projects

  • Project 1

    Ecommerce

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

  • Project 2

    Food Service

    Using data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different restaurant items.

  • Project 3

    Retail

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

  • Project 4

    Production

    Perform feature analysis to understand the features of water bottles using EDA and statistical techniques to understand their overall quality and sustainability.

  • Project 5

    Real Estate

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

  • Project 6

    Entertainment

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

  • 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 desires to stay with the company.

  • Project 8

    Shipping

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

  • 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.

  • 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.

  • Project 11

    Healthcare

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

  • 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.

  • 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.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors

  • Rick Hefner

    Rick Hefner

    Caltech CTME, Program Director

    Dr. Rick Hefner serves as the Program 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. 

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Industry Trends

Artificial Intelligence is the next digital frontier, with profound implications for business and society. With the AI market expected to grow steadily over the years, this Artificial Intelligence course is perfect for those who want to stay ahead of the trend!

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Business
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grandview Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

This PGP AI Course caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • Industry
    The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
    Companies
    SAP ERP
    Godrej & Boyce
    Wells Fargo
    ExxonMobil
    Target
    Boeing
    Siemens
    Infosys
    Hewlett-Packard
    IBM
    Amazon

Learner Reviews

Admission Details

Application Process

The AI Course application process consists of three steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this AI Course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the AI Course online within 1-2 weeks

Eligibility Criteria

For admission to this Artificial Intelligence Course, candidates should have:

2+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
Basic understanding of programming concepts and mathematics

Apply Now

Program Benefits

  • Masterclasses delivered by distinguished Caltech instructors
  • Completion certificate & up to 22 CEUs from Caltech CTME
  • Exposure to ChatGPT, generative AI, Explainable AI and more
  • Caltech CTME Circle Membership
  • Simplilearn’s Career Assistance post-program completion

Artificial Intelligence Training FAQs

  • What is Artificial Intelligence?

    Artificial intelligence is a branch of computer engineering that involves the development of computer systems and digital scripts that mimic the human brain and do tasks that would typically need self-learning and automation. Using various AI approaches, computers may be trained to do jobs by analyzing massive amounts of data and identifying patterns in that data.

  • What are the key learning outcomes of the AI course “Essentials of Generative AI, Prompt Engineering and ChatGPT”?

    Through this AI course you will gain a holistic understanding of  the essentials of generative AI and its landscape, prompt engineering, explainable AI, conversational AI, ChatGPT and other LLMs.

    The key learning objectives of this course are: 

    • Understand the fundamentals of generative AI models, including the working principles and various types of generative AI models.
    • Comprehend the concept of explainable AI, recognize its significance and identify different approaches to achieve explainability in AI systems.
    • Apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models.
    • Gain an understanding of ChatGPT, including its working mechanisms, notable features and limitations.
    • Identify and explore diverse applications and use cases where ChatGPT can be leveraged.
    • Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models 
    • Recognize the ethical challenges of generative AI models and ChatGPT to ensure responsible data usage, mitigate bias and prevent misuse. 
    • Understand the potential of generative AI to revolutionize industries and explore prominent generative AI tools. 
    • Gain insights into the future of generative AI, its challenges and the steps needed to unlock its full potential.
       

  • What are the key topics covered in this Artificial Intelligence course?

    Some of the key topics covered in the Artificial Intelligence course “Essentials of Generative AI, Prompt Engineering and ChatGPT” are: 

    • Generative AI and its Landscape 
    • Explainable AI 
    • Conversational AI 
    • Prompt Engineering 
    • Designing and Generating Effective Prompts 
    • Large Language Models 
    • ChatGPT and its Applications
    • Fine-tuning ChatGPT 
    • Ethical Considerations in Generative AI Models 
    • Responsible Data Usage and Privacy 
    • The Future of Generative AI 
    • AI Technologies for Innovation 
       

  • What are the best AI Courses online in 2023?

    The following are some of the best AI Courses online:

    • Artificial Intelligence Course by Caltech

    • MS in Artificial Intelligence with IU, Germany

    • Artificial Intelligence Engineer in Collaboration with IBM

    • Post Graduate Program In AI And Machine Learning by Purdue University

    • AI for Decision Making: Business Strategies and Applications  by Wharton Online

    • AI and Machine Learning Bootcamp by Caltech CTME

    • Professional Certificate Course in AI and Machine Learning - IIT Kanpur

    • Data Science with Python

    • Introduction to Artificial Intelligence

    • Machine learning

    • Data Science with R Programming

    • Deep Learning with Keras and TensorFlow

    • Natural Language Processing

    • Advanced Deep Learning and Computer Vision.

  • About the Artificial Intelligence course created in partnership with Caltech CTME and IBM

    The Artificial Intelligence course, created in partnership with Caltech CTME and IBM, introduces students to blended learning and prepares them to be specialists in AI and Data Science.

    Founded in 1891, Caltech is a world-renowned science and engineering institute that marshals some of the world’s brightest minds and most innovative tools to address fundamental scientific questions and pressing societal challenges. Caltech prizes excellence and ambition. The contributions of Caltech’s faculty and alumni have earned national and international recognition, including 38 Nobel Prizes and nearly 60 National Medals of Science. The Institute manages the Jet Propulsion Laboratory (JPL) for NASA.

    CTME is embedded in Caltech’s Division of Engineering and Applied Science. Caltech CTME has a unique role to play in applying the capabilities of scientists and engineers to the challenges of today’s technology-driven businesses. Caltech CTME applies executive education and professional development directly to real-world problems. Caltech CTME experts teach the tools and perspectives that elevate careers and help companies achieve their goals.

    IBM, located in Armonk, New York, is a significant cognitive services and integrated cloud solution firm that provides many technology and consulting solutions. IBM invests $6 billion in research & development every year and has won five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and ten US Inventors Hall of Fame inductions. IBM is a leader in AI and Machine Learning technology vertical for 2021. This AI course will prepare students for careers in Artificial Intelligence and Data Analytics.

    What can I anticipate from the Artificial Intelligence course produced by Simplilearn in partnership with Caltech CTME and IBM?

    You will obtain certificates from Caltech, Simplilearn and IBM upon completing these Artificial Intelligence Courses. These certificates will attest to your abilities as an expert in AI. In addition, you will receive the following:

    • Earn up to 14 CEUs to showcase your achievements
    • Masterclass by IBM experts
    • Ask me anything during sessions with IBM leadership
    • Hackathons conducted by IBM
    • Industry-recognized Artificial Intelligence Course from Simplilearn

  • What skills are covered in this AI course online ?

    You will be able to demonstrate the following ability after completing this AI Course Online:

    • Learn Artificial Intelligence's concept, purpose, domain breadth, phases, implementations, and impacts.
    • Create real-world projects, games, prediction models, logic constraint satisfaction concerns, experience and understanding systems, probabilistic models, and agent decision-making skills using your artificial intelligent machines and models.
    • Learn basic programming features and technicalities, such as data types, tuples, lists, arrays, basic operators, and functions.
    • Learn how to develop your Python programs and use the Jupyter notebook to analyze fundamental data.
    • Learn about data wrangling, data exploration, data visualization, hypothesis creation, and testing procedures in Data Science.
    • Use the NumPy and SciPy packages for high-level mathematical and technical computing and the Pandas package for data analysis.
    • Learn about supervised and unsupervised learning methods such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engines, and time series modeling.
    • Understand TensorFlow's core principles, functions, operations, and execution pipeline.
    • CNN, artificial neural networks, training deep RNN networks, and high-level NLP interfaces are among the advanced issues in AI.

  • What projects are included in this Artificial Intelligence course?

    This Artificial Intelligence course includes over 25+ real-life projects in various backgrounds are intended to help you grasp essential AI topics like supervised and unsupervised learning, reinforcement learning, support vector machines, deep learning, TensorFlow, neural networks, convolutional neural networks, and recurrent neural networks.

    This AI certificate also includes a capstone assignment to help you review the principles you've learned in the course. It includes specialized guided classes to develop a high-quality industrial project that addresses a real-world problem.

    This AI course capstone project will cover everything from exploratory data analysis to model construction and fitting. You will utilize learnings such as AI-based supervised and unsupervised algorithms like Regression, Multinomial Naive Bayes, SVM, Tree-based algorithms, and NLP in the topic of your choice to complete this capstone project. You will receive a capstone credential for completing the project. Still, you will also have a project to present to future employers as evidence of your learning from the Artificial Intelligence course.

    Project 1

    Social Media

    Using NLP and Machine Learning, build a model to identify inappropriate posts that should be removed from a social media platform to prevent social hate and negativity

    Project 2

    E-commerce

    The data set provided contains movie reviews given by customers. Perform data analysis on the movie reviews and build a Machine Learning recommendation algorithm that provides ratings for each of the users.

    Project 3

    Manufacturing

    An automobile manufacturing firm wants the time on its test-bench to reduce the time it takes a car to get to the market. Build and optimize a machine learning algorithm to solve this problem.

    Project 4

    EdTech

    Help an EdTech firm assess the quality of elearning videos freely available on YouTube to prepare high-quality and engaging video content for students.

    Project 5

    Healthcare

    Analyze different types of cancers, such as breast cancer, renal cancer, colon cancer, lung cancer, and prostate cancer, for a medical research body to identify the probable cause of these cancers in terms of the genes responsible for each type.

    Project 6

    Entertainment

    Help a movie booking website analyze whether a particular URL is prone to phishing, malicious or not. This will help them push ads on their website without affecting their user privacy, and restrict URLs that could contain malicious links.

    Project 7

    Consumer Electronics

    Help a leading mobile brand understand the voice of the customers by analyzing the reviews of their product on an ecommerce site and the topics that customers are talking about. You will perform topic modeling on specific parts of speech.

  • Who should take this PGP AI course?

    Simplilearn and Caltech CTME’s PGP AI course is well-suited for several vocations and professions, such as:

    Individuals with an interest in working as an AI or Machine Learning Engineer.

    • Analytical managers supervise a group of analysts.
    • Data architects who want to learn about artificial intelligence systems and algorithms.
    • Data analysts are interested in working in machine learning or artificial intelligence.
    • Professionals who are interested in artificial intelligence or machine learning as a profession.
    • Experts wish to improve their understanding of their fields by using Artificial Intelligence.

  • What should I expect from this AI training course?

    As a part of this AI training course, you will receive the following:

    • Caltech CTME program completion certificate
    • Earn up to 22 CEUs from Caltech CTME
    • Masterclasses delivered by distinguished Caltech faculty
    • Caltech CTME Circle membership
    • Online convocation by Caltech CTME Program Director
    • 25+ hands-on projects from different domains
    • Live interactive sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
    • Gain exposure to ChatGPT, OpenAI, DALL-E, Midjourney & other prominent tools
    • Seamless access to integrated labs
    • Capstone projects in 3 domains
    • Simplilearn’s Career Assistance to get noticed by top hiring companies
    • Industry masterclass conducted by IBM experts
    • Access to IBM hackathon and IBM Ask Me Anything Sessions
    • IBM certificates for IBM courses
    • 8X higher interaction in live online classes by industry experts

  • Why become an AI Engineer?

    The present and future demands are enormous. According to Paysa, licensed AI Engineers make an average income of $172,000 per year in the United States (approximately Rs.17 lakhs to Rs.25 lakhs in India), with less than 10,000 competent persons in the globe to fill these roles.

  • What is the Artificial Intelligence course fees?

    The Artificial Intelligence course fees in India start from Rs.7303/month whereas the AI Course fees in other countries from $249/month for any reliable course that includes practical learning and career services apart from theoretical classes. Individuals can avail of various seasonal offers to get discounts when enrolling in Simplilearn's AI courses.

  • What types of jobs can you get with an Artificial Intelligence background?

    Professionals with a thorough knowledge of AI ideas have many opportunities. They can apply for AI Specialist, Machine Learning Engineer, NLP Scientist, AI Research Analyst, and Data Scientist.

  • How would the AI Certification Course benefit me?

    As part of this Caltech PGP AI certificate course, you will earn the following:

    • All Artificial Intelligence Courses in the learning path provide lifetime access to e-learning resources.
    • Upon completing training, you will receive industry-recognized credentials from Caltech and Simplilearn.
    • For 24/7 practice, IBM cloud platforms with IBM Watson and other tools are available.

  • What is an AI Certificate?

    An AI certificate is a digital badge that demonstrates your knowledge and skills in this field. It showcases your understanding of machine learning, data science, natural language processing, creating prediction models, using linear and logistic regression, and so on. You can achieve an AI certificate by enrolling in this Caltech AI ML program. The certificate also grabs the attention of hiring managers and allows you to get more preference than your peers.

  • What are the job opportunities upon completing this Artificial Intelligence course?

    You will be able to help you find a dream career after completing the Artificial Intelligence course co-developed with IBM. AI-certified experts are well-suited for the following positions:

    • Artificial Intelligence Engineer
    • Data Scientist
    • Analytics Manager/Lead
    • Machine Learning Engineer
    • Statistical Programming Specialist

  • What is the admission process for this PGP AI certificate course?

    The admission process for this AI certificate course consists of three simple steps:

    • All interested candidates are required to apply through the online application form

    • An admission panel will shortlist the candidates based on their application

    • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the fee

  • What certificate will I receive after completing AI Course?

    Upon successful completion of this AI course, you will be awarded a certificate of completion by Caltech CTME, along with IBM certificates for IBM courses, and an industry-recognized certificate from Simplilearn for courses in the learning path.

  • How long does it take to complete this AI course Online?

    The AI course Online could be completed according to your schedule but the anticipated time to complete the overall course is 6-8 months

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Artificial Intelligence course is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • Will any preparation material be provided to help me get started?

    Once you make the first installment of the fee for this PGP AI certificate course, you also will get access to a preparatory course. You will have to go through the assigned course before starting the first class, which consists of self-paced learning content in the form of videos.

  • Is this course really 100% online? Do I need to attend any classes in person?

    This Artificial Intelligence Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.

  • What is covered under the 24/7 Support promise?

     We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your AI course.

  • If I want to cancel my enrollment, can I get a refund?

    No refund will be applicable once you make the partial/full payment.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in the program on your first attempt. They proactively engage with students to ensure adherence to the learning path—helping to enrich their learning experience, from class onboarding to project mentoring to career assistance

  • I am not able to access the program. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • What are the eligibility criteria for this AI Learning course?

    For admission to this AI Learning course, candidates should have:

    • A bachelor's degree with an average score of at least 50 percent
    • Prior knowledge or experience in programming and mathematics
    • 2+ years of formal work experience (preferred)

  • What is the admission process for this AI Certification Course?

    The admission process for this AI Certification Course consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the program fee

  • Who is going to teach the Artificial Intelligence course?

    Our Artificial Intelligence instructors are all industry specialists with years of relevant experience in the industry. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile assessment, technical examination, and a training demo. We also ensure that only trainers with a good alumni rating stay on our faculty.

  • Are there any practice exams included in the Artificial Intelligence course?

    Yes, as part of the Artificial Intelligence course, we include a practice test to assist you in preparing for gaining the certificate exam. You may practice with these free Artificial Intelligence Exam Questions to get a sense of the questions included in the course.

  • What methods will I use to gain access to practical labs?

    Simplilearn provides integrated laboratories that you can access directly from your LMS for hands-on execution of industrial tasks. This AI course's LMS will include instructions for installing and deploying the tools.

  • What is the significance of a Capstone project in the online AI training course?

    This AI certificate training capstone assignment will help you review the principles you've learned thus far. If you complete the capstone project, you will earn a credential, demonstrating your abilities to future employers.

  • What does an AI professional earn throughout the world?

    AI talents are in high demand, and specialists with them attract substantial incomes. AI Engineers in the United States make roughly $125,000 per year on average (source: Payscale).

  • What technologies are employed in the development of AI abilities?

    When you enter the area of artificial intelligence, you'll come across various fascinating technology, such as:

    • Natural language processing
    • Machine learning
    • Robotic Process Automation (RPA)
    • Speech recognition
    • Deep learning

  • What types of Artificial Intelligence theories are in action?

    AI may be divided into three categories:

    • Narrow AI - This is the AI we see in today's apps. Narrow AI allows robots to accomplish just one task and nothing else.
    • General AI is concerned with making robots as efficient as humans in performing many activities. There are currently no apps that fall under this category.
    • Strong AI is a hypothetical notion aimed at making robots more intelligent than humans and capable of performing tasks that humans are incapable of.

    These are the categories of AI according to another classification:

    • Reactive Machines - These machines lack the memory to preserve prior experiences and respond to circumstances effectively.
    • Limited Memory - As the name implies, such computers have a limited amount of memory to retain and learn from primary data to make future decisions.
    • Theory of Mind - A hypothetical idea in which robots are taught to comprehend human emotions, wants, beliefs, etc.
    • Self-awareness is the most significant level of AI that might theoretically exist. These machines will have their desires and feelings in addition to comprehending emotions.

  • What firms recruit AI Engineers?

    AI graduates are employed by companies ranging from Argo AI to Microsoft, IBM, Accenture, Intel, Samsung, Adobe, Lenovo, Amazon, NVIDIA, Facebook, etc. Consider the advantages of our AI training if you want to pursue a profession in artificial intelligence.

  • What other Data Science and Artificial Intelligence Courses does Simplilearn offer?

    Simplilearn provides the following courses in the Data Science and AI domain:

    Certification Courses:

    Master's Program:

    University Programs:

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