Your Career in Machine Learning.

The course format is Hybrid mode, where we release weekly content followed by a live session, weekly content is as per the learning and the reason why it’s done is to motivate a student to achieve certain outcome for the same like if we release all content at one time, student feel overwhelmed and it does not helps student to complete it, so We release weekly content in order for students to achieve a milestone and then continue doing it for the same. live sessions can be doubt resolution, chill sessions, guest lecturing

Course starts from 15th February, 2024 and learning plans will be shared a week before the course starts.

We aim to complete the course in 6 months with 2 months of buffer because we help students to get placed in those 2 months, so it makes a total of 8 months.

Usually we have seen the length of the module is dependent on what’s being taught, which can range from 1 hour to 12 hours/per module. 
We usually don’t count hours, we count what’s being produced per module.

On an average we see students devote 1-3 hours every day to successfully complete the course but it should be consistent enough

You can view the syllabus above in the syllabus section or take a look at the sheet here

Course is for beginner to intermediate levels in data science/ML. Whether you’re working professional or student, you can easily enjoy the benefits of the course but if you’re in high school, you should consider getting in touch via email and telling about the situation to get right advice from our counselors?

Absolutely not, this is for working professional too, we have seen several working professionals did amazing with our course, your experiences adds as a plus factor 🙂

Freelancing gigs are an important part of the course. Students are given opportunities to work on third party blogathons, Ayush's personal big freelancing contracts, and similar projects. All students get a chance to join a freelancing gig and potentially earn back their course fees.

To qualify, students must first complete 4-6 weeks of learning and meet certain eligibility criteria, including completing assigned coursework. Students then undergo a 1-on-1 mock interview. Those selected can reapply up to 5 times if they initially fail. Students can also email the Antern team to request additional chances. Earnings potential per gig ranges from $20 to as high as $100. There is no limit on the number of gigs a student can take.

We help students get placed through tailored tactics and strategies, though placements are not guaranteed. We assist with portfolio building by having students complete paid freelancing gigs as personal projects, with a minimum of 5-6 unique projects that demonstrate in-demand skills like MLOps implementation. Students are then referred internally or directly assisted with job placement.

We will be definitely providing the right set of support to anyone who has enrolled in our course at any given point.

First the course goes on as a hybrid model, however if a student wants to talk with Ayush or any one of the instructors and wants to get advice regarding their problem, they can fill out the specified form in order to get advicewith instructors 1-1. However, students are suggested to open up their problems publicly in order to help other students with the advice.
We use Piazza for discussion of doubts and resolving queries, it’s an amazing doubt resolution platform.

This course will cost you around $160 but if you apply HAPPY30, you will get 30% off and you can get the course at just $112. 
You can pay via any method. 

We definitely offer a credit card EMI option, we don’t have any other financing available as of now.

Our new batch content has been drastically changed with the addition of partnerships with DataWars and ZenML and producing content around MLOps, GenAI with over 100+ tracked projects and exclusive access to MLOps projects.