• Application closes on

    5 Dec, 2024
  • Program duration

    11 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Purdue’s Academic Excellence

    Program completion certificate from Purdue University and Simplilearn

    Program completion certificate from Purdue University and Simplilearn

  • icons
    IBM’s Industry Prowess

    Obtain IBM certificates for IBM courses and get access to masterclasses by IBM experts 

  • icons
    Exposure to latest AI trends

    Live online classes for generative AI, prompt engineering, explainable AI, ChatGPT, and much more

  • icons
    Hands-on Experience

    Gain experience through 25+ hands-on projects and 20+ tools with seamless access to integrated labs

Corporate Training

Enterprise training for teams

Fast-track Your Career

After completing the program, Simplilearn learners have made successful career transitions, boosted career growth, and got salary hikes.

Learner’s achievements

Maximum salary hike

150%

Average salary hike

70%

Hiring partners

2900+

Our Alumni In Top Companies

Machine Learning Course in Delhi Overview

The AI and ML Course in Delhi includes Python, reinforcement learning, statistics, NLP, machine learning, and deep learning networks. You will learn how to deploy deep learning models on the cloud via AWS SageMaker, build Alexa skills, and access GPU-enabled labs with this AI and ML Certification. You can also explore AI tools like TensorFlow, Scikit-learn, OpenAI Gym, and more.

Key Features

  • Program completion certificate from Purdue University and Simplilearn
  • Live-online masterclasses delivered by Purdue faculty and IBM experts
  • Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
  • Core curriculum delivered in live classes by industry experts
  • Simplilearn's JobAssist helps you get noticed by top hiring companies
  • Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
  • 3 capstones and 25+ hands-on projects from various industry domains
  • Access to Purdue’s alumni association membership on program completion
  • Exclusive hackathons and Ask Me Anything sessions by IBM
Key Features
Program completion certificate from Purdue University and Simplilearn
Live-online masterclasses delivered by Purdue faculty and IBM experts
Live interactive sessions on the latest AI trends, such as ChatGPT, generative AI, prompt engineering, and more
Core curriculum delivered in live classes by industry experts
Simplilearn's JobAssist helps you get noticed by top hiring companies
Gain exposure to ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
3 capstones and 25+ hands-on projects from various industry domains
Access to Purdue’s alumni association membership on program completion
Exclusive hackathons and Ask Me Anything sessions by IBM

AI & ML Course In Delhi Advantage

Our curriculum equips you with the skills and knowledge to excel in your career. With a structured learning approach and industry-relevant projects, you will be able to tackle complex challenges and stay at the forefront of this field.

  • Program Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Masterclasses by Purdue faculty
    • Purdue University Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry recognized IBM certificates for IBM courses
    • Masterclasses from IBM experts
    • Access to Ask Me Anything sessions and Hackathons

Artificial Intelligence Course Details

Through the various modules provided in this carefully curated AI and ML program, you will be on your way toward a successful career in AI and ML. You will also explore some of the latest advancements in the AI space such as ChatGPT, generative AI, and explainable AI among others

Learning Path

  • Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.

    • Procedural & OOP understanding
    • Python's Advantages Exploration
    • Jupyter Notebook utilization
    • Implementing identifiers, indentations, comments
    • Python data types, operators, strings
    • Mastery of Python loops
    • OOP principles comprehension
    • Methods, attributes, access modifiers insight
    • IBM-designed course on Python for data science.
    • Python scripting proficiency.
    • Hands-on data analysis using Jupyter Lab.
    • Python fundamentals emphasized: strings, Lambda functions, and lists.
    • NumPy for array manipulation 
    • Linear algebra basics
    • Statistical concepts (central tendency, dispersion, skewness, covariance, correlation).
    • Hypothesis testing methods covered: Z-test, T-test, ANOVA, and pandas data manipulation.
    • Data visualization skills acquired: Matplotlib, Seaborn, Plotly, and Bokeh libraries
    • Studying the machine learning pipeline.
    • Supervised learning: regression, classification.
    • Experience in unsupervised learning: clustering and ensemble modeling.
    • Evaluation of TensorFlow, and Keras frameworks.
    • Hands-on with PyTorch for recommendation engines.
    • Comprehensive understanding of ML approaches & applications.
    • Elevate ML skills with deep learning.
    • Learn TensorFlow and Keras.
    • Proficiency in deep learning concepts.
    • Construct artificial neural networks.
    • Navigate data abstraction layers.
    • Unlock data potential for AI advancements.
    • Explore deep learning vs. machine learning.
    • Fundamental concepts & applications covered.
    • Topics include neural networks, propagation, TensorFlow 2, and Keras.
    • Performance enhancement & model interpretability techniques.
    • CNNs, transfer learning, object detection.
    • RNNs, autoencoders, PyTorch neural networks.
    • Effective building & optimizing models with Keras, and TensorFlow.
    • AI areas: generative AI, prompt engineering, and ChatGPT.
    • Practical learning: Gain hands-on experience to utilize these technologies
    • Focus on prompt engineering: Understand its significance in producing specific outputs.
    • Comprehensive insights: Learn how to leverage AI advancements for practical business solutions.
  • Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.

Electives:
  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Attend these online live sessions delivered by industry experts to gain insights about the latest advancements in the AI space. Some of the areas and concepts covered include Generative AI and its Applications, Leveraging the power of generative modeling to build innovative products, Building and deploying GPT-powered applications Demystifying ChatGPT, its architecture, training methodology, and business applications, and Applications of ChatGPT. {*Areas mentioned above are subject to change}

    • Advanced computer vision & deep learning.
    • In-depth knowledge & practical skills focus.
    • Topics: image formation, CNNs, object detection.
    • Image segmentation, generative models.
    • Optical character recognition covered.
    • Distributed & parallel computing.
    • Explainable AI (XAI) exploration.
    • Deep learning model deployment skills.
    • Advanced ML algorithms for language data.
    • Focus on natural language understanding.
    • Feature engineering exploration.
    • Natural language generation skills.
    • Automated speech recognition is covered.
    • Speech-to-text, text-to-speech conversion.
    • Voice assistance device development.
    • Building Alexa skills emphasis.
    • RL core concepts exploration.
    • Problem-solving skills in RL.
    • Strategies in Python, TensorFlow.
    • Theoretical RL foundations learning.
    • Practical RL algorithm application.
    • Proficiency in diverse applications.
    • Effective use of RL in scenarios.
    • Transformer role in modern AI comprehension.
    • Neural networks for generation tasks analysis.
    • Different generative model types: VAEs, GANs, transformers, autoencoders.
    • Appropriate scenarios for diverse AI models.
    • Attention mechanisms' role and efficacy.
    • Analyzing popular generative models: GPT, BERT.
    • Contrasting model architectures and objectives.

16+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • 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
  • Machine Learning Algorithms

13+ Tools Covered

ChatGPTMidjourneyDalle.2pythontensorflowkerasNLKTScikitLearnMatPlotlibAmazon SagemakerkubernetesAlexaFlask

Industry Project

  • Project 1

    Ecommerce

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

  • Project 2

    Food Service

    Use data science techniques, like 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

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

  • 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 desire to stay with the company.

  • Project 8

    Shipping

    Use deep learning tools, 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 datasets from organizations.

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Program Advisors and Trainers

Program Advisors

  • 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.

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Program Trainers

  • Simon Travasoli

    Simon Travasoli

    25+ years of experience

    Senior Data Science Consultant at Citi Bank

  • Rocky Jagtiani

    Rocky Jagtiani

    24+ years of experience

    AI and ML Trainer

  • Nikhil Garg

    Nikhil Garg

    16+ years of experience

    Data Science Instructor

  • Nitin Gujral

    Nitin Gujral

    15+ years of experience

    Founder at Cramlays

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Career Growth Stories

  • Sidharth Pandey

    I am Sidharth Pandey working as a UI/UX expert working in this industry for 12 years. I was looking for new challenges when I came across Simplilearn’s AI and Machine Learning program. Being passionate about technology and as the job demanded to use of AI and ML concepts drove me towards the PG AI and Machine learning program. I have a message to share with the global community. This is the time to enhance your skills and knowledge

    Software Engineer
    https://www.simplilearn.com/ice9/logos/Cisco-Systems.png
    (Cisco)
    UI/UX Expert
    https://www.simplilearn.com/ice9/logos/NagraKudelskiGroup.png
    (Nagra kudelski)
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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

Join the AI and ML industry

AI, the revolutionary digital frontier, has far-reaching impacts on business and society. With the projected exponential growth of the AI market, this course is ideal for individuals striving to stay ahead of this transformative trend! 

Job Icon$267 billion

Expected global AI market value by 2027

Source: Fortune Insights
Job Icon37.3%

Projected CAGR of the global AI market from 2023-2030

Source: Grand View Research
Job Icon$15.7 trillion

Expected total contribution of AI to the global economy by 2030

Source: PwC Global

Batch Profile

These AI and ML courses cater to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • 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
     course learners from SAP ERP, Delhi
     course learners from Godrej & Boyce, Delhi
     course learners from Wells Fargo, Delhi
     course learners from Accenture, Delhi
     course learners from ExxonMobil, Delhi
     course learners from Target, Delhi
     course learners from Boeing, Delhi
     course learners from Siemens, Delhi
     course learners from Infosys, Delhi
     course learners from All India Institute of Medical Sciences, Delhi
     course learners from Hewlett-Packard, Delhi
     course learners from IBM, Delhi
  • The class maintains an impressive diversity across work experience and roles
    Designation Breakup
    Associate - 12%Midlevel - 35%Senior-level - 43%Executive - 10%
    Total Years of Experience
    Less than 3 years - 13%3-5 years - 17%5-8 years - 12%8+ years - 58%
  • The class has learners with varied educational qualifications from excellent institutions
    Qualification
    Bachelors - 65%Masters - 30%Others - 5%
    Universities
     course learners from BITS Pilani, Delhi
     course learners from IIT Hyderabad, Delhi
     course learners from IIIT Allahabad, Delhi
     course learners from McGill University, Delhi
     course learners from IIT Bombay, Delhi
     course learners from IIM Kozhikode, Delhi
     course learners from University of Illinois at Chicago, Delhi
     course learners from AIIMS, Delhi
     course learners from NIT Calicut, Delhi
     course learners from NIT Rourkela, Delhi
     course learners from IIM Lucknow, Delhi
     course learners from IIM Indore, Delhi

Alumni Reviews

As a software engineer, I was working on application development using Oracle forms, SQL, and database languages. I wanted to explore better technologies in the market and got to know that Machine Learning and Big Data revolved around SQL. When I started looking for training institutes, Simplilearn was referred to me. What I liked most about Simplilearn’s AI and ML program was the context of the training and student-to-trainer engagement. 

Aditya Shivam

Manager

What other learners are saying

Admission Details

Application Process

Candidates can apply to this AI and ML Course in 3 steps. Selected candidates can join the program by paying the admission fee.

STEP 1

Submit Application

Briefly outline your education and professional experience

STEP 2

Reserve Your Seat

Complete your payment to reserve your admission

STEP 3

Start Learning

Selected candidates start the AI and ML Course in 1-2 weeks

Eligibility Criteria

Admission to this Post Graduate Program in AI ML Course requires:

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

Admission Fee & Financing

The admission fee for this AI and ML Course is ₹ 1,89,999 (Incl. taxes). It covers applicable program charges and Purdue Alumni Association membership.

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.

Total Program Fee

₹ 1,89,999

Pay In Installments, as low as

₹ 8,507/month

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

Apply Now

Program Benefits

  • Program certificate from Purdue University and Simplilearn
  • Exposure to generative AI, explainable AI, ChatGPT and more
  • Understand the applications of prompt engineering
  • Purdue Alumni Association Membership eligibility
  • Rigorous curriculum delivered by industry experts

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

AI ML Certification FAQs

  • What is the ranking of Simplilearn's AI and ML course?

    Simplilearn’s Post Graduate Program in AI ML Course has been ranked as the best AI and ML course in India by TechGig. Simplilearn has been titled the #1 AI ML Certification Course, based on the following criteria, i.e., depth of curriculum, interactive hands-on learning, program recognition, and student experience.

  • What is AI, or Artificial Intelligence?

    Machines that simulate "mentally intellectual" capabilities that people identify with the human brain, such as learning, decision making, and problem-solving, are commonly referred to as AI. Healthcare, banking, entertainment, commerce, online shopping, and other industries have all embraced AI, making it a profitable area. A world-renowned credential (particularly from a reputable university) functions as a career stimulant for grabbing the most excellent possibilities in the area.

  • What is AI and Machine Learning?

    Artificial Intelligence technology (AI) is the study and development of computer science that can perform tasks previously limited to human intelligence, such as decision-making and voice recognition. Machine Learning (ML) is a related field that teaches computers how to learn and adapt without explicit programming. These two fields are closely related and are at the forefront of technological advancements, making them highly in demand. As a result, obtaining an Artificial Intelligence ML Course can offer students great potential for their career growth.

  • What technologies are used for developing AI Skills?

    Machine learning techniques, understanding NLP, and expertise in deep learning algorithms are key technologies you must master to develop AI skills. Simplilearn’s AI and ML course in Delhi includes all of these and more and will help you become an AI and Machine Learning expert in 12 months!

  • Is there any minimum education qualification required to apply for this AI and ML course in Delhi?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in these AI and ML course in Delhi.

  • Will I become an alumni of Purdue University after completion of the AI and ML course in Delhi?

    You will get a Purdue Alumni Association Membership.

  • I am not from a technical background. Can I still join this AI and ML course in Delhi?

    You can join the AI and ML course in Delhi even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.

  • Can I enroll in an AI and ML course in Delhi if I don't have any prior knowledge in both AI and Machine Learning?

    Yes, you can enroll in the AI and ML course in Delhi even if you don’t have any prior knowledge in AI and machine learning since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical AI and machine learning skills.

  • What will you learn with Simplilearn's AI and ML course in Delhi?

    Simplilearn’s AI and ML course in Delhi will help you learn a dozen of top skills and tools including, Python, Keras, Tensorflow, Django, and so much more. Not just that, you also get access to capstone in 3 domains and over 25 hands-on industry projects to implement and practice the skills you have learned during the program.

  • Why choose Simplilearn for your AI and ML course in Delhi?

    Simplilearn and Purdue University have collaborated to bring you an extraordinary learning experience. A high-engagement classroom learning environment meets the ease and convenience of a digital platform. In this AI and ML course in Delhi, you will learn 30+ tools and skills, get masterclasses from Purdue faculty, perform capstone and other industry projects. And all of this happens in a cohort format where you learn alongside equally-driven professionals faster and better.

  • Who can take the AI and ML course in Delhi?

    Anyone who has a keen interest and a passion for new-age tech skills can enroll in this AI and ML course in Delhi. However, you are expected to have a bachelor's degree with a minimum of 50% marks. On the other hand, it is also beneficial to have a basic understanding of programming languages and mathematics.

  • What are the eligibility criteria for the Professional Certificate Program in AI and Machine Learning in Delhi?

    For admission to the Professional Certificate Program in AI and Machine Learning in Delhi, you should have:

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

  • How will my doubts/questions be addressed in an online AI and ML course?

    We have a team of dedicated admissions counselors who can guide you as you apply for these AI and ML Course in Delhi.

  • What is the admission process for this Professional Certificate Program in AI and Machine Learning in Delhi?

    The admission process 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 and is accepted by the candidates 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 you find this Professional Certificate Program in AI and Machine Learning in Delhi more affordable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Purdue Professional Certificate Program in AI and Machine Learning Delhi?

    As a part of this Professional Certificate Program, in collaboration with IBM, you will receive the following:

    • Purdue Professional Certificate Program certification
    • Industry recognized certificates from IBM and Simplilearn
    • Purdue University Alumni status
    • Lifetime access to all (the core) of the e-learning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use
    • Access to IBM Cloud platforms featuring IBM Watson and other cloud services

  • Will I be able to access the content once the AI and ML course is completed?

    Yes, even after completing the AI and ML Certification, you may access the course content.

  • What certificate will I receive?

    Upon successful completion of the program in Delhi, you will be awarded a Professional Certificate Program in AI and ML certification by Purdue University. You will also get industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.

  • Will there be any resources offered to assist me in getting started?

    After you pay the first installment of the AI and ML Course Online program price, you'll get admission to AI ML course sessions, including 8 to 10 hours of self-paced educational video content. Before joining the first class, you must complete the prescribed course.

  • What is Global Teaching Assistance?

    Our teaching assistants are a devoted team of experts to ensure you pass the AI ML certification exams on your first try. From class enrollment through project mentorship and employment aid, they actively engage and effectively contact you to ensure that the course plan is followed and to help you expand your experiential learning.

  • Who are the instructors for this AI and ML Certification, and how are they selected?

    Our AI and Machine Learning professors are all industry specialists with years of expertise in the field. Before they are qualified to train for us, they have undergone a thorough selection procedure that includes profile assessment, technical examination, and a training presentation. We also ensure that only instructors with a high alumnus rating stay on our AI and ML Course staff.

  • What is the JobAssist program?

    Simplilearn’s JobAssist program is an India-specific offering in Partnership with IIMJobs.com to help you land your dream job. With the Job Assist program, we will offer extended support for the certified learners who are looking for a job switch or starting with their first job. Upon successful completion of the Professional Certificate Program in AI and Machine Learning in Delhi, you will be eligible to apply for this program and your details will be shared with IIMJobs. As a part of this program, IIMJobs will offer the following exclusive services:

    • IIMJobs Pro-Membership for 6 Months
    • Resume Building Assistance 
    • Career Mentoring 
    • Interview Preparation 
    • Career Fairs

  • What is the eligibility criteria to participate in the JobAssist program?

    To participate in the JobAssist program, you need to:

    • Be a graduate (engineering or equivalent)
    • Complete our Professional Certificate Program in AI and Machine Learning in Delhi successfully and earn the certificate upon completion

  • What is the salary of an AI and machine learning expert in Delhi?

    The average annual salary of an AI and machine learning expert in Delhi is around 1,558,549. The factors that are taken into consideration before hiring are education credentials, skill set,etc. Candidates who have undertaken AI and ML Training in Delhi or anywhere else are given preference.

  • What are the major companies hiring for AI and machine learning in Delhi?

    Delhi has skyrocketing prospects for AI and machine learning engineers. There are in fact many options to choose from. Some of these include Oracle, Infosys, Microsoft, NIIT Technologies, Adobe and many more. With AI and ML Training in Dallas, the prospects of getting hired are looking quite bright.

  • What are the major industries in Delhi?

    Even though there are soaring opportunities in the IT industry after the fulfillment of an AI and ML course in Delhi, there are a number of major industries in the city such as media, telecommunications, banking, hotels, tourism, and many more.

  • How to become an AI and machine learning expert in Delhi?

    A basic skill required to become an AI and machine learning in Delhi is to master the art of programming. He/she will be required to be an expert in applied mathematics to further learn how to do data modeling and evaluation. When such a skill set is met, the companies in Delhi will be lucky to have you in their arsenal.

  • How to find AI and ML Courses in Delhi?

    Even though there are many pioneering colleges and universities in Delhi such as the Indian Institute of Technology and the National Institute of Technology, Purdue University in Delhi, also has excellent AI and ML courses.

  • Can I choose not to take this JobAssist program and get a discount?

    No, the JobAssist program is a supplementary offering that comes along with the Professional Certificate Program in AI and Machine Learning. It will make your chances high to get hired by the top companies.

  • Will there be placements after the completion of AI and ML certification?

    Simplilearn offers extended support for those who are looking for their first job or willing to switch their career through the JobAssist program. After completing the course, you will be eligible to get IIMJobs Pro-Membership for 6 Months. IIMJobs will give you exclusive services like resume-building assistance, career mentoring, interview preparation, and career fairs.

  • What does the 24/7 Support guarantee cover?

    We provide email, chat, and phone help around the clock. We have a trained team that offers on-demand support through our discussion board. Furthermore, even after completing AI and ML course online, you will have unlimited access to the discussion board and forum threads.

  • What kind of certification will I get after finishing the AI and ML Course?

    Simplilearn and Purdue University will grant you a joint certification in the Post Graduate Program in AI and Machine Learning when you complete the AI and ML certification course. After completing the modules on the AI and ML Course learning path, you will get industry-recognized credentials from IBM and Simplilearn.

  • What is the JobAssist program?

    Simplilearn’s JobAssist program is an India-specific offering in partnership with IIMJobs.com to help you land your dream job. With the Job Assist program, we will offer extended support for data analyst certified learners who are looking for a job switch or starting with their first job. Upon completing the AI ML Course you will be eligible to apply for this program, and your details will be shared with IIMJobs. As part of this program, IIMJobs will offer the following exclusive programs:

    • IIMJobs Pro-Membership of 6 months for free

    • Resume-building assistance to create a powerful resume

    • Spotlight on IIMJobs for highlighting your profile to recruiters

  • What is the eligibility criteria to participate in the JobAssist program?

    To participate in the JobAssist program, you need to:

    • Be a graduate (Engineering or Equivalent) 

    • Complete our AI ML Certification successfully and earn a Master’s certificate upon completion

    • Any graduate who has successfully completed our AI ML Course is eligible to participate in the JobAssist program. 1+ years of experience is recommended.

  • If I am unable to access the AI and ML Course. Who can assist me?

    Reach us via the form on the right side of any webpage on the Simplilearn website, pick the Live Chat option, or email support and assistance if you cannot access the AI and ML Certification.

  • What roles do Purdue University and IBM play in Simplilearn's AI and ML Course?

    This comprehensive Artificial Intelligence and ML course has been developed in collaboration with Purdue University and IBM, with the aim of providing optimal learning opportunities throughout the program. An experienced Purdue University faculty member will be providing guidance and support as you delve into the world of AI. Additionally, Purdue academics and IBM professionals will conduct masterclasses to help you acquire a deeper understanding of AI ML concepts.

  • What are some of the topics and areas that will be covered in the masterclasses?

    The masterclasses will provide you with exposure to some of the latest trends in the AI space. Some of the areas covered include:

    • Generative AI and its Applications
    • Leveraging the power of generative modeling to build innovative products 
    • OpenAI and its Role in NLP and AI
    • Building and deploying GPT-powered applications
    • Demystifying ChatGPT, its architecture, training methodology, and business applications
    • ChatGPT best practices, limitations, and avenues for future development
    • Building real-world applications with the OpenAI API and ChatGPT 
    • Applications of ChatGPT, OpenAI, Dall-E, Midjourney & other tools
    • Explainable AI
    • Chatbots and their uses in companies such as Microsoft, Google, Meta etc.  
    • Latest trends in the AI space 

    *Areas mentioned above are subject to change  

Post Graduate Program In AI And Machine Learning, Delhi

Being the capital of India, Delhi is among the topmost populous cities in the country. It was declared as a Union Territory back in the year 1956 and has had a long history infused by culture and politics. The population stood at 16,753,235 mark in 2011 with a growth of nearly 22% from 2001-2011. The GDP of the said city was roughly estimated to be Rs.7.98 trillion when last reported in 2020-21. This declared Delhi as the second-most productive metro area of the country.

It enjoys an elevation of nearly 200-250m. Delhi is known to have extreme weather conditions. It is often an amalgam of humidity during the monsoon period that clashes with the summer reason and semi arid climates.

Delhi has a long history of attracting foreign rulers. It has stood as one of the major political epicenters and therefore, the capital of subsequent empires that ruled in the Indian subcontinent. There are a number of landmarks in Delhi that have a long-standing significance even today. Some of these monumental establishments are:

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