Get a High-Paying Tech Job
Software engineers like you join Outcome School to achieve the outcome that is a high-paying tech job.
Designed for Outcome
A program to help developers get a high-paying job through live classes, mentorship, project-based learning, and technical interview preparation.
Live classes
Live classes for 6 months. Simple explanations for complex topics.
6 months program
You can choose from "AI and Machine Learning" or "Android".
Learn from Anywhere
As this program is completely online, you can join it from anywhere in the world.
We teach Internals
To get a high-paying tech job, you must know the internals and be good at system design. Knowledge comes to those who crave for it.
Eligibility
Working professionals - anyone already working in tech but looking for a high-paying tech job by learning the internals and System Design.
Programs
You can choose anyone from the below.
AI and Machine Learning
6 months long online learning program to master AI and ML by building real work-like project to gain work experience and get a high-paying job in AI.
View NowAndroid Development
6 months long online learning program to master Android Development by building real work-like project to gain work experience and get a high-paying job in Android.
View NowYour Teacher and Mentor
Amit Shekhar
Founder @ Outcome School • IIT 2010-14 • I have taught and mentored many developers, and their efforts landed them high-paying tech jobs, helped many tech companies in solving their unique problems, and created many open-source libraries being used by top companies. I am passionate about sharing knowledge through open-source, blogs, and videos.
Our Students' Growth
Got Salary Hike
CTC Change: 4 LPA → 24 LPA, 9 LPA → 24 LPA, 13 LPA → 46 LPA, 20 LPA → 60 LPA
Notable Transition
Software Engineer → VP of Engineering, Software Engineer → Staff Engineer
Open Source
Worked on Open Source projects and received interview calls from Top Companies
Our students got placed in top companies thanks to their efforts.
What students are saying about us
Amit Verma
I am immensely grateful to Amit Shekhar for his invaluable guidance and support in my journey as an Android developer. His clear and practical approach to teaching complex concepts made learning enjoyable and effective. With Amit's help, I am able to secure my dream job, and I continue to rely on his teachings as I advance in my career. I highly recommend Amit Shekhar to anyone looking to improve their development skills and achieve their professional goals. Thank you, Amit, for your support and for being an inspiring mentor and true leader!
Khush Panchal
Amit has been an incredible mentor to me. Under his guidance, I navigated the world of open source, which took my journey to the next level. Amit's presence works as a catalyst in the journey of learning and growing. His insights were incredibly helpful, whether it was cracking firms like Microsoft and Blinkit, negotiating salaries, or making career decisions. His mentorship also enabled me to create major open-source libraries. I am grateful to have Amit as a lifelong mentor and look forward to creating a positive impact with him.
Aman Shekhar
I'm extremely grateful to Amit Shekhar for his guidance and support whenever I needed it. His teaching style made me feel very confident, as he has a unique ability to simplify complex topics. Amit's approach to teaching is what sets him apart. He also assisted me with mock interviews and preparation strategies for various companies. With his help, I successfully cracked interviews at multiple companies and currently hold a position as a Fullstack Engineer at Boeing. I highly recommend his program if you're looking to master system design.
Recent Blogs
We publish high-quality blogs regularly for our learners.
AI Agent Memory
In this blog, we will learn about AI Agent Memory - why agents need it, the memory stack, the four core operations (write, read, update, forget), how memory flows at runtime, and the common mistakes.
AI Agent Explained
In this blog, we will learn about the AI Agent - what it is, how it is different from a plain LLM, its five core parts, how it works end to end, the main types, and when to use one.
RMSNorm (Root Mean Square Layer Normalization)
In this blog, we will learn about RMSNorm, a faster and simpler alternative to Layer Normalization that powers most modern Large Language Models like Llama, Mistral, Gemma, Qwen, PaLM, and DeepSeek.
Decoding DeepSeek-V4
In this blog, we will learn about DeepSeek-V4, the new family of open Mixture-of-Experts language models that natively supports a one-million-token context with dramatically lower inference cost.
LoRA - Low-Rank Adaptation of LLMs
In this blog, we will learn about LoRA - Low-Rank Adaptation of Large Language Models.
Math Behind RoPE (Rotary Position Embedding)
In this blog, we will learn about the math behind Rotary Position Embedding (RoPE) and why it is used in modern Large Language Models.