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For College Students

    Learners

    3 Million

    Recommended 15 hrs/week

    19 Months*

    7 weeks

    Complimentary Python Bootcamp

    Programme Start Date

    Coming Soon

    India Today, 2021

    India's #1

    Technical University (Private)

    Programme Overview

    Key Highlights

    Up-to-date modules integrated with Generative AI
    Up-to-date modules integrated with Generative AI
    GenAI Mastery: Learn building customer chatbots and advance LLM & ML techniques
    GenAI Mastery: Learn building customer chatbots and advance LLM & ML techniques
    Live sessions to cover ChatGPT, Open AI, Dall, Midjourney & more tools
    Live sessions to cover ChatGPT, Open AI, Dall, Midjourney & more tools
    Designed for Working Professionals
    Designed for Working Professionals
    6 Practical Hands-on Capstone Projects
    6 Practical Hands-on Capstone Projects
    15+ Case Studies and Assignments
    15+ Case Studies and Assignments
    Live Coding Classes & Profile Building Workshops
    Live Coding Classes & Profile Building Workshops
    Executive PG Programme from IIIT Bangalore & Alumni Status
    Executive PG Programme from IIIT Bangalore & Alumni Status
    Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
    Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
    Dedicated Student Support available
    Dedicated Student Support available
    No Cost EMI Options Available
    No Cost EMI Options Available
    Career mentorship Sessions(1:1)
    Career mentorship Sessions(1:1)
    Exclusive Job opportunities Portal
    Exclusive Job opportunities Portal
    High Performance Coaching (1:1)
    High Performance Coaching (1:1)
    AI Powered Profile Builder
    AI Powered Profile Builder
    Just-in-Time Interviews
    Just-in-Time Interviews
    Personalised Industry Session
    Personalised Industry Session
    Career Bootcamp
    Career Bootcamp
    750+ Hours of Learning
    750+ Hours of Learning
    Daily Doubt Resolution Sessions
    Daily Doubt Resolution Sessions

    Eligibility:
    -Bachelor's Degree preferably in a Mathematical/ Statistical background with 50% (or equivalent) . Successful completion of the Executive PGP in Machine Learning & AI from IIITB mandatory.
    - Recommended 1 year of work experience in programming/ analytics.

    Syllabus

    Experience 750+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects. Now integrated with Generative AI modules.

    Download Syllabus

    Top Subjects you will learn

    Machine Learning, Deep Learning, Computer Vision, Natural Laview more

    Who Is This Programme For?

    Engineers, Software and IT Professionals, Data Professionals

    Job Opportunity

    Data Engineer, Data Scientist, Machine Learning Engineer, MLview more

    Minimum Eligibility

    Bachelor’s Degree with minimum 50% or equivalent passing marview more

    LJMU

    IIIT Bangalore

    Masters in Machine Learning & Artificial Intelligence from Liverpool John Moores University
    With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
    Masters in Machine Learning & Artificial Intelligence from Liverpool John Moores University
    Click to zoom
    • Complete all ai courses and ml courses to achieve this prestigious Masters of Science in Machine Learning And Aritificial Intelligence from LJMU, UK to jump-start your career in ML & AI
    • Get access to the complete digital library of LJMU to research & write your dissertation
    • Earn a Master's degree which is recognised by WES, at 1/10th the cost of an offline programme

    Explore our Learning Platform

    Learn on an AI-powered & personalised platform with best-in-class content, live sessions & mentoring from leading industry experts.
    Explore our Learning Platform

    What our learners say

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    20 Programming Languages, Tools & Libraries Covered

    Generative AI tools covered

    Syllabus

    Experience 750+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects. Now integrated with Generative AI modules.

    Download Brochure
    750+
    Hours of Learning
    15+
    Case Studies and Assignments
    90
    Live Sessions
    11
    Coding Assignments
    20
    Tools, Languages & Libraries
    6
    Capstone Projects to Choose From

    Preparatory Content

    2 Weeks
    • Prep content
    • Intro to Python
    • Python for DS

    Course 1 - Stats and EDA

    7 Weeks
    • Data Viz. using Python + Intro to Git & Github + Welcome
    • EDA
    • Basic SQL
    • Advanced SQL
    • Lending club case study
    • Inferential Stats
    • Hypothesis Testing

    Course 2 - ML I

    7 Weeks
    • Linear Regression Module
    • Linear Regression Module
    • Linear Regression Assignment: Bike sharing company (demand regression)
    • Logistic Regression
    • Naive Bayes + SVM {optional}
    • Model Selection
    • Buffer

    Course 3 - ML II

    8 Weeks
    • Advanced Regression
    • Tree Models
    • Random Forests + Practical Considerations
    • Boosting
    • Unsupervised Clustering
    • PCA
    • Telecom Churn Case Study
    • Buffer

    Course 4 - DL

    8 Weeks
    • Introduction to Neural Networks - Part 1
    • Introduction to Neural Networks - Part 2
    • Convolutional Neural Networks
    • Assignment: Convolutional Neural Networks
    • Recurrent Neural Networks
    • Gesture Recognition - Project
    • Buffer
    • Buffer

    Course 5 - NLP

    7 Weeks
    • NLP - Lexical Processing
    • NLP - Syntactic Processing
    • NLP Assignment - Syntactic Processing
    • NLP - Semantic Processing
    • NLP - Semantic Processing
    • Ticket classification Project
    • Buffer

    MLOps Elective

    17 Weeks
    • Pre-Requisite Module
    • Introduction to MLops
    • Designing Machine Learning Systems
    • Experimenting with Data and Model using MLflow
    • Automating and Orchestrating pipelines with Airflow
    • Building continuous learning infrastructure
    • MLOps Project
    • Advanced NLP - Introduction to Attention Mechanism
    • Advanced NLP - Introduction to Transformers
    • Advanced CV - Object Detection & Semantic Segmentation
    • MLOps + Deployment: DL (Theory)
    • MLOps + Deployment: DL (Case Study)
    • Exam on Sunday End of the week
    • Revision week - Skill test ()
    • Capstone

    Generative AI Elective

    15 Weeks
    • Advanced NLP - Introduction to Attention Mechanism
    • Advanced NLP - Introduction to Transformers
    • Fundamentals of Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • Fundamentals of Multimodal LLMS like Stable Diffusion, Mid Journey
    • Fundamentals of Design, Photography & Product Development using Stable Diffusion in Python & Applications of LLMs for Data Science problems like clustering, classification
    • GenAI Project
    • Applications of LLMs to create Embeddings for Large Documents
    • Applications of Vectorstores like Pinecone to store and index embeddings of large documents
    • Understand the importance of LangChain and it's applications
    • Initialise the agents, tools and vectorstore for storage and retrieval
    • Connect the components using Chain and explore the power of tools in LangChain
    • Scale and Deploy Generative AI Apps using Azure OpenAI services
    • Future Developments in Generative AI

    Capstone

    4 weeks
    • Capstone

    Research Methodologies

    8 Weeks
    • Introduction to Research and Research Process
    • Research Design
    • Literature Reviewing
    • Research Project Management
    • Report Writing and Presentation Skills
    • Scientific Ethics

    Master's Dissertation

    16 weeks
    • Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods
    • Investigate a diagnosis of eye diseases using imaging ophthalmic data
    • Structure medical images with information geometry
    • Using Social media feed to place tweets regarding natural disasters on a map
    • Preventing credit card fraud through pattern recognition
    • Developing a recommender system for a Media giant
    • Risk modelling for Financial activities and Investment Banking

    Instructors

    Learn from leading ML & AI faculty and industry leaders

    Benefits with upGrad

    360 Degree Career Support services, Personalised Mentorship from Industry Experts
    benefits

    Job Opportunities

    Job Opportunities
    upGrad Opportunities
    • upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
    • Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
    • Be the first to know vacancies to gain an edge in the application process
    • Connect with companies that are the best match for you
    benefits

    Career Assistance

    Career Assistance
    Career Mentorship Sessions (1:1)
    • Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
    High Performance Coaching (1:1)
    • Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
    AI Powered Profile Builder
    • Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
    Interview Preparation
    • Get access to Industry Experts and discuss any queries before your interview
    • Career bootcamps to refresh your technical concepts and improve your soft skills
    benefits

    Learning Support

    Learning Support
    Industry Expert Guidance
    • Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
    • Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
    Student Support
    • Dedicated Student Support available for non-academic queries
    • You can write to us via studentsupport@upgrad.com Or for urgent queries, use the "Talk to Us" option on the Learn platform.
    benefits

    Practical Learning & Networking

    Practical Learning & Networking
    Networking & Learning Experience
    • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
    • Peer to peer networking opportunities with a alumni pool of 10000+
    • Lab walkthroughs of industry-driven projects
    • Weekly real-time doubt clearing sessions

    Industry Projects

    Learn through real-life industry projects sponsored by top companies across industries
    • Engage in collaborative projects with student-mentor interaction
    • Benefit by learning in-person with Expert Mentors
    • Personalised subjective feedback on your submissions to facilitate improvement

    77% Learners Achieve Career Benefits

    Student Reviews

    Admission Process

    There are 3 simple steps in the Admission Process which are detailed below:

    Program Fee - Indian Residents

    Without Immersion: Rs. 5,60,000 (including tax)

    With Immersion: Rs. 7,60,000 (including tax)

    View Plans
    * Starting at INR 13,010/month. No cost EMI options available.

    *The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside upGrad's purview.

    *Based on the GenerativeAI project work in the program, additional cost of approximately $40 paid directly to the tool for access is required for project completion.

    Empowering learners of tomorrow

    Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

    Note-

    *Programme length implies 18 months of learning and full programme duration may vary depending on university.

    - This program is accredited in the Foreign University's country. It is not UGC recognized.

    Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist
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    Frequently Asked Questions

    Masters in Artificial Intelligence and Machine Learning Programme Details

    How do I know if this programme is for me?

    This programme is for you if you are a:

    Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala.

    Statistician: If you received formal education in statistics or mathematics or if you have any prior working experience. 

    Data Engineer/Big Data Engineer: If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.

    Software Developer: If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.

    How will this programme benefit me?

    The programme will benefit you in different ways depending on your prior experiences:

    Data Scientist or Senior Data Analyst: The programme will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.

    Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.

    Data Engineer/Big Data Engineer: The programme will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.

    Software Developer: The programme will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.

    What is this programme intended to do?

    This programme intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.

    What can I expect out of this programme?

    This programme is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This programme demands consistent work and time commitment over the entire duration of 18 Months.

    What should I NOT expect from this programme?

    This programme is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed into Senior Data Scientist and Machine Learning/AI roles. Our Master's Degree in Machine Learning Programme is aimed at facilitating the transition of professionals to the Machine Learning field.

    Is there any certification at the end of the programme?

    Post completion of the programme, an certificate in Executive PG Programme in Machine Learning and AI will be granted from IIIT Bangalore and a Master's Degree from LJMU.

    What are the top in-demand skills to learn in Machine Learning?

    Artificial Intelligence Courses, Tableau Courses, NLP Courses, and Deep Learning Courses are some of the top in-demand skills to learn in Machine Learning.

    Is this program recognized by UGC?

    This program is accredited in the Foreign University's country. It is not UGC recognized.

    Support in the Msc in Artificial Intelligence and Machine Learning

    What type of learning should I expect?

    The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the programme comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.

    What online resource does LJMU provide for students to confirm the validation of awards and what information can be found there regarding their collaborative partnerships?

    Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.

    Where can one access comprehensive details about the MSc ML & AI program at LJMU website?

    Please find the link to the Program Specifications of the MSc ML & AI program on the LJMU website

    Refund Policy/Financials

    Is there any deferral or refund policy for this Program?

                 Refund Policy: (Programmes without prep-session component)

    • You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile.
    • You can request your Admissions Counselor to help you in applying and withdrawing for a refund by sending them an email with reasons listed.The prep login will be activated immediately post completion of the 'payment of the 1st block amount (caution money)' or on the 'Specified date' as communicated by upGrad. Processing fee of ₹10,000 will be levied in case refund is claimed.
    • Student has to pay the full fee within 7 days of payment of block amount or cohort start date, whichever is earlier, otherwise the admission letter will be rescinded and processing fee of ₹10,000 will be levied.
    • Once the student pays block amount, "any" refund shall be subject to deduction of ₹10,000 processing charges.
    • Any taxes paid by the student shall not be refundable, and the amount to be withheld will be higher of taxes paid or 10,000 processing fees.
    • There shall be no refund applicable once the programme has started. This is applicable even for those students who could not complete their payment and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
    • Refund shall be processed to an eligible student within 30 working days from the date of receipt of refund form from him/her in this regard.
    • Refund shall be subject to deduction of ₹10,000 processing charges or the GST paid, whichever is higher as mentioned above.


      Deferral Policy: (Pre Programme Commencement)
    • If a student, due to unavoidable circumstances, is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another cohort.
    • To do so, the student will be required to pay 50% of the total Programme fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
    • A student can request for deferral to any of the cohorts starting in the next 3 months from the start date of the initial batch in which the student was originally enrolled. For the first deferral request, subject to the point no. 2 of the Pre-Programme Deferral Policy, no additional charges shall be levied.
    • If a student wants to defer his enrolment a second time, such student will have to make an additional payment of Rs.10,000 as Deferral fee, and this amount shall be non-refundable under any circumstances. Once this payment is done, students will be eligible to defer to any of the cohorts starting in the next 3 months from the current cohort.
    • The student has time till the current cohort launch date to make the payment of the balance 50% Programme fee, post which the deferral request will expire. Once the deferral window expires and if such a student wants to withdraw his or her enrolment from the said Programme, the refund policy will be applicable.
    • The student shall be liable to pay the differential Programme fees between the two cohorts if any.

      Deferral Policy: (Post Programme Commencement)
    • If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch.
    • A student can request for deferral only once and from the batch start date of initial batch the student enrolled for.
    • The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential programme fees between the two cohorts.
    • The deferral request will be approved once the deferral fee is paid.
    • Till this is completed, the student will be assumed to be continuing in the same cohort.
    • The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the student will continue as part of the current cohort.
    • If the student completes the deferral payment, the student's login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress until that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether or not the student had submitted these grading during the initial stage. The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the "last grace deadline" as communicated by upGrad.

    No Cost Credit Card EMI FAQ's

    0% EMI with Finance partners /Credit card option availability will vary program wise.

    1. Which banks allow using 0% Credit card EMI or Credit card EMI?
    No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank, State Bank of India, CITIBANK and HSBC)

    2. Is there any minimum transaction limit ?
    Yes. 50000 is the minimum.

    3. Standard Chartered Bank offers 18 or 24 months No Cost EMI ?
    No. ONLY 12 months is available irrespective of the Program enrolled.

    4. Will I have to pay any extra amount for EMI transaction?
    If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI.

    5. Are there any fees or down payment?
    Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged, will be billed in the first repayment installment.

    6. Can I use my International credit card for 0% credit EMI or Credit Card EMI?
    Only the Indian bank credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank.

    7. Are there any charges in case I opt for cancellation/refund from the course after paying balance with no cost EMI ?
    Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter.

    8. Can I Pay Using Multiple Credit Cards ?
    Multiple cards can be used to complete the payments using Part payment option make sure to inform the learner, minimum transaction is INR 50000 to opt for 0% CC EMI E.g. Amount to be paid: 150000. I can pay using 2 Credit cards. Yes, Example :
    HDFC Card – Part payment – INR 100000
    ICICI Card – Part payment – INR 50000

    9. How can I opt for Credit card EMI if my bank is not listed in the 0% Credit card EMI or Credit card EMI?
    You can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions.

    10. Why is the entire amount blocked on my credit card?
    Initially your bank will block the entire amount from your available purchase limit and from your next billing cycle, you will be charged the EMI amount. As you start paying your EMI, your credit limit will be released accordingly. For example, if you have made a payment of ₹100000 on 6-months EMI and your credit limit is ₹200,000 then initially your bank will block your credit limit by ₹100000. After payment of your first month EMI of Rs.15000, the blocked amount will come down to ₹85000.

    11. Why is interest getting charged on No Cost EMI?
    Your bank will charge you interest. However, this interest charge has been provided to you as an upfront discount at the time of your payment, effectively giving you the benefit of a No cost EMI. The total amount paid during the entire EMI tenure to the bank will be equal to the amount to be paid to upGrad.

    Eg. Amount payable to upGrad: INR 405000
    Let's say Amount deducted at the time of transaction: INR 379850 (Principal amount) Bank charges interest of 12-15% per annum on INR 379850
    [Note: Interest factor is reducing rate and not Flat rate]
    EMI AMOUNT = INR 33750 x 12 = INR 405000
    Effectively, you have taken loan on 379,850 instead of 405,000

    Selection Criteria for the Masters in Artificial Intelligence and Machine Learning

    What is the selection process for this programme?

    STEP-1- Online Eligibility Test: Fill out an application and take a quick 40 mins online test of 18 questions to assess your aptitude.

    STEP-2- Review and Shortlisting of Suitable Candidates: Our faculty will review all applications considering the educational and professional background of an applicant and review the test scores where applicable. Following this, offer letters will be rolled out so you’re assured a great peer group to learn and network with.

    STEP-3-  Enrollment for Access to Prep Content: Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.

    Additional Queries

    What is GenAI?

    Generative AI (GenAI) is a type of AI that can create new content, such as text, images, music, and code. GenAI models are trained on massive datasets of existing content, which they then use to generate new and unique outputs. They can be used for creative tasks such as writing code, creating images and videos etc. 

    Where can I use GenAI?

    GenAI can be used in a wide variety of applications, including:

    Creative content production: GenAI can be used to generate new ideas and concepts for creative content, such as poems, stories, scripts, and musical pieces.

    Translation: GenAI can be used to translate text from one language to another.

    Education: GenAI can be used to create personalized learning experiences for students and to provide real-time feedback on their work.

    Research: GenAI can be used to generate new hypotheses and to test them on large datasets.

    Business: GenAI can be used to improve customer service, to develop new products and services, and to automate tasks.

    Why should I learn GenAI?

    Here are some specific reasons why you should learn GenAI:

    GenAI is in high demand: GenAI skills are in high demand in a variety of industries, including technology, healthcare, finance, and education.

    GenAI can help you automate tasks: GenAI can be used to automate many tasks, such as data entry, customer service, and content creation. This can free up your time so that you can focus on more important things.

    GenAI can help you be more creative: GenAI can help you to generate new ideas and to brainstorm solutions to problems.

    What kind of GenAI roles can I look for post completing this program?

    This program has been designed to enable you master skills required for job opportunities such as: Prompt Engineer, LLM Engineer, Data Scientist with Generative AI as a skill

    How will you be teaching me GenAI?

    As part of this course, Generative AI is taught via both live sessions and recorded content. As part of certain specializations we have 6+ modules dedicated to Generative AI, plus 3+ projects throughout program to help you build an impressive portfolio and skillset

    How many hours of GenAI can I expect in this course?

    As part of this course, you would have 20+ hrs of recorded video content on Generative AI plus multiple live sessions to master this cutting edge technology

     

    What are the GenAI tools covered as part of this course?

    As part of this course, multiple industry leading tools are covered from various aspects and use-case perspective, some of them are: 

    Replit, CromaDB, Github CoPilot, Pandas AI, Code Interpreter, OpenAI Embeddings, HuggingFace, Chroma, GPT 3.5, ChatGPT

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