• Next Cohort starts 2 Oct, 2023
  • Program Duration 11 months
  • Learning Format 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


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


Average salary hike


Hiring partners


Our Alumni In Top Companies

Artificial Intelligence Course Overview

Designed to boost your career as an AI and ML professional, this AI Course in Lucknow showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course in Lucknow covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

Key Features

  • Simplilearn's JobAssist helps you get noticed by top hiring companies
  • 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 courses. In this Artificial Intelligence course, you will learn about various AI-based technologies.

Learning Path

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

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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

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

  • 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.

  • 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.

  • 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.

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


    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


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

  • Project 4


    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


    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


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

  • Project 9


    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


    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


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

  • Project 12


    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


    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.


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. 


Career Support

Simplilearn JobAssist Program

Simplilearn Job Assist program is an India Specific Offering in partnership with IIMJobs.The Program offers extended support to certified learners to land their dream jobs.
IIMJobs Pro-Membership of 6 months for free

IIMJobs Pro-Membership of 6 months for free

Resume building assistance to create a powerful resume

Resume building assistance to create a powerful resume

Spotlight on IIMJobs for highlighting your profile to recruiters

Spotlight on IIMJobs for highlighting your profile to recruiters

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.

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

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.


Submit Application

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


Application Review

An admission panel will shortlist candidates based on their application



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

Admission Fee & Financing

Our Artificial Intelligence course offers Caltech CTME's excellence and IBM's industry prowess to help you get ahead of the curve. The admission fee for this PGP AI ML is ₹ 2,19,999 (Incl. taxes)

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Easy Financing Options

We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.


Other Payment Options

We provide the following options for one-time payment

  • Internet
  • Credit/Debit

₹ 2,19,999

(Incl. taxes)

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

Program Cohorts

Next Cohort

Other Cohorts

Got questions regarding upcoming cohort dates?

AI Training FAQs

  • What are the eligibility criteria for this Artificial Intelligence course in Lucknow?

    For admission to this AI course in Lucknow, 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)

  • Who is this Artificial Intelligence course in Lucknow ideal for?

    Professionals eager to develop AI and ML expertise with the objective of: 

    • Enhancing effectiveness in their current role

    • Transitioning to AI roles in their organization

    • Seeking to advance their career in the industry

    • Giving shape to entrepreneurial aspirations

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

    The admission process for this AI certificate course in Lucknow 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

  • 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 in Lucknow is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from this AI course in Lucknow?

    As a part of this Artificial Intelligence course in Lucknow 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 the likes of Twitter, Mercedes Benz, Uber, and many more
    • 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

  • What certificate will I receive?

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

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

    Once you make the first installment of the fee for this Artificial Intelligence course in Lucknow, 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.

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

    The Artificial Intelligence course in Lucknow could be completed according to your schedule but the anticipated time to complete the overall course is 6-8 months

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

    This Artificial Intelligence course in Lucknow 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 Artificial Intelligence course in Lucknow.

  • 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.

Caltech Post Graduate Program In AI And Machine Learning, Lucknow

Lucknow, the capital, lies in the Indian state of Uttar Pradesh. It is known as the North Indian hub due to its rich cultural and artistic history. The geographical area of Lucknow is around 631 square kilometres.

Lucknow is one of India's most important cities in terms of GDP contribution. Lucknow contributes up to 3.85% of the Gross Domestic Product of Uttar Pradesh to India's GDP.

The city of Lucknow has a humid subtropical climate, which means it has cold, dry winters and hot, humid summers. A lot of IT and software companies are also based in Lucknow.

The attractions in the city of Lucknow include The Residency, Chota Imambara, Rumi Darwaza, Chhatar Manzil, Nawab Wajid Ali Shah Zoological Garden, and Lucknow Museum.

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