Applied AI & Software Engineering v1.0
74 weeks
ยทLive Course
All In One:- DSA, LLD, HLD, Projects, Live Sessions, Super Peers, Coding labs
Your Instructor
Lovepreet Singh
be curious.
Course Overview
thinkit club
This is not a course, cohort or bootcamp. This is a peer learning community where you would be learning behind the scenes of building, industry practices, cs internals, research papers reading, tinkering and much more.
What'll only be available in the community
๐ฅ projects building & learning from planning to implementation
๐ฅ live assignments, mock interviews like machine coding, api building
๐ฅ industry experts sessions, resume building & doubt clearance sessions
Main goal of this community
๐ After building with us, one would not go & pay for more courses or cohorts
๐ต Get curious, learn core CS to tackle anything like Blockchain, AI
โ Get Job ready, Crack internships & Software engineering opportunities
You can opt the community if
1๏ธโฃ you want to learn the planning & building projects from scratch
2๏ธโฃ get out of the tutorial hell
3๏ธโฃ targeting jobs, internships in next one year
4๏ธโฃ learn anything new & jump to applications directly
5๏ธโฃ 100x your productivity after learning CS internals, AI applications
6๏ธโฃ you want a group of people preparing for same goals
7๏ธโฃ you have one year atleast in hand for your Jobs/Internships
8๏ธโฃ you want to do freelancing or deal with overseas clients
9๏ธโฃ you want doubt clearance, resume, expert sessions
๐ you want dedicated project assigned to work on in a group of a month or two after every major topic is finished
You should not join the community if
โ ๏ธ you only want videos on projects, topics, languages etc because videos will still come on @SinghDevHub's Youtube as usual
โ ๏ธ you do not want any kind of live sessions of experts in industry, weekly assignments, projects, mentorship and peer learning group
โ ๏ธ you do not have atleast a year in hand for internships or jobs
โ ๏ธ you are already at 10x level of the peers, already pretty confident in building or learning anything without any mentorship
Taking Peer learning, building to next level
๐ Experts after few months to transfer the knowledge will come from prestigious universities, industry and solo builders background
๐ฅ You can learn at 100x speed if you peers are OGs
Why is it paid?
โญ because I want only a set of folks who are interested in upskilling to next level
โญ hand holding & taking time out of ours takes efforts. So, there should be something which motivates us to deliver
โญ monitoring individuals & redelivering sessions which seems complex are hard commits to make
โญ inviting industry, ivy league universities people take efforts
Other details
โ Duration/Validity:- 1.5 years
๐ฐ Price per session:- 40 INR
๐ Langauge:- English
๐ Coupon:- EARLY500 (to get 25% discount)
๐ Coupon while paying in USD:- EARLY500USD (to get 25% discount)
๐ Note:- Refund policy
There is no refund policy as we consider you to go through the complete details and take your call accordingly. Please go through the free content on youtube
What you'll get out of this course

Java 0-100 (Basics, Concurrency, GC, JVM internals & more)

Low level design (designing & building systems live)

High level design (designing & building systems live)

Spring boot (build projects live, debugging complex problems)

Data structures & algorithms + Solving questions

Learning & Applying new tech stacks live (Golang, Rust etc)

Build anything on your own with LLMs & learn in parallel

TDD (Test driven development) & Advanced debugging

DB design, Machine coding interviews

Applied AI, MLOps & Agentic AI (building AI projects, resume)

10+ Projects that are not copy pasted

Mock Interviews
Syllabus
Week 1 Apr 30 โ May 6
Week 2 May 7 โ May 13
Week 3 May 14 โ May 20
Week 4 May 21 โ May 27
Week 5 May 28 โ Jun 3
Week 6 Jun 4 โ Jun 10
Week 7 Jun 11 โ Jun 17
Week 8 Jun 18 โ Jun 24
Week 9 Jun 25 โ Jul 1
Week 10 Jul 2 โ Jul 8
Week 11 Jul 9 โ Jul 15
Week 12 Jul 16 โ Jul 22
Week 13 Jul 23 โ Jul 29
Week 14 Jul 30 โ Aug 5
Week 15 Aug 6 โ Aug 12
Week 16 Aug 13 โ Aug 19
Week 17 Aug 20 โ Aug 26
Week 18 Aug 27 โ Sep 2
Week 19 Sep 3 โ Sep 9
Week 20 Sep 10 โ Sep 16
Week 21 Sep 17 โ Sep 23
Week 22 Sep 24 โ Sep 30
Week 23 Oct 1 โ Oct 7
Week 24 Oct 8 โ Oct 14
Week 25 Oct 15 โ Oct 21
Week 26 Oct 22 โ Oct 28
Week 27 Oct 29 โ Nov 4
Week 28 Nov 5 โ Nov 11
Week 29 Nov 12 โ Nov 18
Week 30 Nov 19 โ Nov 25
Week 31 Nov 26 โ Dec 2
Week 32 Dec 3 โ Dec 9
Week 33 Dec 10 โ Dec 16
Week 34 Dec 17 โ Dec 23
Week 35 Dec 24 โ Dec 30
Week 36 Dec 31 โ Jan 6
Week 37 Jan 7 โ Jan 13
Week 38 Jan 14 โ Jan 20
Week 39 Jan 21 โ Jan 27
Week 40 Jan 28 โ Feb 3
Week 41 Feb 4 โ Feb 10
Week 42 Feb 11 โ Feb 17
Week 43 Feb 18 โ Feb 24
Week 44 Feb 25 โ Mar 3
Week 45 Mar 4 โ Mar 10
Week 46 Mar 11 โ Mar 17
Week 47 Mar 18 โ Mar 24
Week 48 Mar 25 โ Mar 31
Week 49 Apr 1 โ Apr 7
Week 50 Apr 8 โ Apr 14
Week 51 Apr 15 โ Apr 21
Week 52 Apr 22 โ Apr 28
Week 53 Apr 29 โ May 5
Week 54 May 6 โ May 12
Week 55 May 13 โ May 19
Week 56 May 20 โ May 26
Week 57 May 27 โ Jun 2
Week 58 Jun 3 โ Jun 9
Week 59 Jun 10 โ Jun 16
Week 60 Jun 17 โ Jun 23
Week 61 Jun 24 โ Jun 30
Week 62 Jul 1 โ Jul 7
Week 63 Jul 8 โ Jul 14
Week 64 Jul 15 โ Jul 21
Week 65 Jul 22 โ Jul 28
Week 66 Jul 29 โ Aug 4
Week 67 Aug 5 โ Aug 11
Week 68 Aug 12 โ Aug 18
Week 69 Aug 19 โ Aug 25
Week 70 Aug 26 โ Sep 1
Week 71 Sep 2 โ Sep 8
Week 72 Sep 9 โ Sep 15
Week 73 Sep 16 โ Sep 22
Week 74 Sep 23 โ Sep 29
Week 75 Sep 30 โ Sep 30
Your Instructor
Lovepreet Singh
be curious.
Currently working as a Backend & Applied AI Engineer @CRED. My main areas of focus include Distributed systems, Problem solving at scale, Coding complex systems and services. I have done 6-7 internships during my Bachelors because of my applied nature instead of theory from day-1 of learning things. I started with Machine learning internships & research and later on switched to Distributed systems or Backend.
Frequently Asked Questions
- Is duration fixed for 1 year ?
- How many sessions per week, and duration of each session ?
- What would be the timings of the sessions & would we get the recordings ?
- What is the plan of recorded sessions & how community people will benefit from the community ?
- What about peer learning, How is it different ?
- Would there be any break in the videos ?
- Is there any limit to the number of students ?
- Refund Policy
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