MLdemy Training Center of AI
Helping youths to be job-ready
Learn AI & ML
Aspiring for a high-paying AI / Data Science job?Are you a student / undergrad fresher / working professional looking to learn about AI or land a Data Science job?Invest on yourself now and reap the benefits in the years ahead.
Course Pedagogy
Modules
| Id | Module* | Prerequisite | Coverage (Syllabus) | Duration | Class Hours | Course Hours^ |
|---|---|---|---|---|---|---|
| 1 | PREPARATORY | Basic Python knowledge is nice-to-have (but not mandatory) | Professional Python for AI + Business Analytics (Exploratory Data Analysis, Descriptive Analytics, Data Visualization) | 6 weeks | 10 hrs | 30 hrs |
| 2 | BASIC | Preparatory | Machine Learning - I (Inferential Statistics, Linear Regression, ANOVA, Logistic Regression) | 10 weeks | 20 hrs | 40 hrs |
| 3 | STANDARD | Basic | Machine Learning - II (Time Series Forecasting, Random Forest, Clustering, Optimization) | 12 weeks | 24 hrs | 48 hrs |
| 4 | COMPREHENSIVE | Standard | Big Data (Spark ML with Databricks) + Operationalization (AI Strategy, MLOps, AutoML) | 8 weeks | 16 hrs | 32 hrs |
| 5 | EXPERT | Comprehensive | Deep Learning (Tensorflow / Keras / PyTorch) + NLP + Generative AI (LLM) + Computer Vision + Capstone Project + Assistance towards Job / Internship (Interview Tips and Tricks + Résumé Review and Suggestions) | 16 weeks | 30 hrs | 100 hrs |
| * * | * * | * * | Total | 52 weeks | 100 hrs | 250 hrs |
Delivery Mode and Timings
*It is not mandatory for the participants to go through all the modules. Instead, you can select only those modules that you deem necessary for your requirements. However, participants are recommended to undergo all 5 modules in sequence for the most optimal learning experience.^In addition to Class Hours, the Course Hours involves self-studies, take-home assignments, and hands-on exercises / projects.Small batch size per slot is ensured for personalized attention.Classes happen on weekends (Sat - Sun) in Online / Offline / Hybrid mode.If needed, Online support may be available on prior request in the evenings (between 8:30 - 9:30 PM) of weekdays (Mon - Fri).Participants must have their own laptops. As and when required, they will be pointed to free computational resources on cloud for execution purposes.Assistance for Job / Internship is available only for those who undergo at least 4 modules including the EXPERT module.Please note that MLdemy does not guarantee any internship or job, even though its courses are designed to prepare the participants for the same. We believe that grooming is more important than spoon-feeding.Sign up / email / call us for exact timing details.
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Instructor's Profile
Overall Summary
Co-Founder, CTO & Chief Data Scientist at Inxite Out, an AI startup with focus on Advanced AI & GenAI and dev presence in Kolkata & Bangalore.20+ years of industry experience at Fortune-500s and Startups.Ex-Intel, Ex-AMD, Ex-Western Digital.Led 50+ AI projects; Built 2 AI CoEs to transform businesses in 20+ countries; Mentored 100+ Data Scientists; Conducted 500+ job interviews; Delivered many Tech Talks.
Academic & Professional Achievements
Gold Medalist and Director's Merit List Awardee, MBA,
Indian Institute of Management (IIM) - Bangalore.Global Business Strategy, Tokyo University (Japan).B.E. (Electronics), Jadavpur University (Kolkata).Recipient of Tuition Scholarships from Notre Dame University (USA) and Tokyo University (Japan).US Patent-holder in storage tech.Awardee of World’s Best Tech of Year 2017 by Mashable (USA).Awarded Excellence in Treasury Forecasting (2020) by European Association of Corporate Treasurers.Creator of multiple AI Intellectual Properties.Contributor to open-source libraries and several AI e-zines. Reviewer of research papers for publications at reputed journals like ScienceDirect and Springer.Know more about the instructor here.Connect with the instructor on LinkedIn.
Admission ongoing
Multiple batches for this year's cohort is starting.Limited seats. Hurry!
Grab your seat in advance before the slots get filled up.
Sign up now to avail Early-Bird Offer for 25% discount on fees.Fees need NOT be paid in advance.
You can pay as you go on MONTHLY basis!Connect with us on LinkedIn, Twitter, Facebook, YouTube, or Email.
Visit us at our center physically.Mob / WA: (+91) 62903 42247
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Course Fees:
Regular Price: INR 5,000 / Month
Early-Bird Offer*: INR 4000 / Month---Payment Schedules:
Pay as you go on monthly basis.
*Early-Bird Offer is valid only for the first 5 students to enroll.Hurry! Grab your seat now! Sign up!Fees need NOT be paid in advance.
Pay as you go on MONTHLY basis.
Withdraw from the course anytime if you wish so.The total course fees for someone attending all 5 modules comes to INR 48,000 if the Early-Bird Offer is availed, to be paid on monthly basis spanning over 1 year for 250 Course Hours involving 100 Class Hours.In return, it might help you get a job worth 10-20 times the course fees as a fresher.You'll thank yourself to have undergone this course after you land the plush job you always dreamt of!
Benefits & Takeaways
Industry Fact-Checks:- #1. Of all the engineers graduating every year across India, only 20% are employable!- #2. Most institutes follow industry-irrelevant curricula, leading to interview rejections!- #3. Super-expensive, over-hyped courses you'd find online perform below par in helping you internalize the concepts, yet require upfront payment of course fees in advance.Certificates and degrees are worth dozen a dime in real job interviews! What matters is your knowledge and your ability to apply that knowledge to solve business problems.---MLdemy Differentiations:That's what MLdemy prepares you for. The courses at MLdemy help you differentiate yourself from the crowd.MLdemy guides you to identify your strengths and build on those with the help of tailor-made industry-relevant curricula.A non-exhaustive list of salient features of this course are:
Interview tips and tricks + Résumé review and suggestions for students undergoing at least 4 modules including the EXPERT module
Freedom to select only those modules that you deem necessary for your requirements
Hybrid (online / offline) mode of classes with small batch size (max 6 students / slot) to ensure personalized attention and care
Emphasis on hands-on exercises (for offline classes, participants must bring their own laptops for optimal learning experience), with computational resources on cloud provided for
Industry-relevant curricula designed to ace job / internship interviews
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