This is including your assignment and other factors
Assignment, clarification with mentors, Assignment validation:
Students teach students
Flexible timing (can be extended to 17-20 weeks)
Gamified teaching methods
50% tech, 50% games
Natural learning with Memes
Get the hands dirty on the Day 1
Zero slides, Zero theories
Experts share their experience from the industrial point of view
Real time scenarios with errors
Focus more on the error scenarios and problem solving oriented
AWS access to students (1-2 students per season)
Industrial strength coaching with complex code base
You should finish at least 50 hours of volunteer work with any ML Researchers (non-indian preferred)
You should have done a minimum of 2 Capstone projects
You should have created one open source projects or contributed 20 hours on any existing open source projects
You should have shown a demo for 25+ audience
You should have done at least 100 hours assignment
You should have done at least 2 Random Quick Projects with TactLabs
You might be eligible to get AWS ML Exam scholarship from Featurepreneur fund (once in every 5 months)
Your feature might be eligible for Tact Coins. Coin Assessment Board (CAB) will have to decide whether your feature is eligible for Tact Coins or not. They will do the assessment and let you know if yes and how much.
Some gaming features might be eligible for Royalty payment (per run or per month). This assessment has to be done by the CAB as well.
Based on your learning and commitment, you might be eligible to get into Internship with TactLabs for one of these titles: DevOps Intern, MLOps Intern, Research Intern, Developer Intern, & SWAT Intern.