curl --request POST \
--url https://changengine.in/ai-bootcamp/mocks/apply\
--header 'Accept: application/json' \
--header 'Content-Type: application/json' \
--data '{
"status": "Aspiring Enterpreneur",
"firstName": "Shubham",
"lastName": "Singh",
"email": "shub_singh@outlook.com",
"phone": "87900XXXXX",
"organisation": "Change Engine",
"position": "Product Manager",
"college": "JNTUH",
"passout": "2022",
"application": true,
"linkedIn": "https://www.linkedin.com/in/shub-singh/"
}'
An immersive AI Bootcamp, culminating in an exhilarating hackathon.
20 Aug
Last date of registration
20 - 21 Sept
AI Bootcamp
4 Weeks
AI Hackathon
0 Days 0 Hours 0 Minutes 0 Seconds
Learn to Build AI Products that Drive Enduring Customer Value
Building beyond thin-wrappers on chatGPT
Products with long-term moat, high reliability and pain-killer for customers.
Trade-offs in building AI-MVP
Decisions on open/closed source, fine-tuning, prompting, addressing latency, cost and memory.
Model deployment and monitoring
Data security, tools and processes for creating customer delight.
Learn, Leverage, and Launch yourself with insights from AI leaders at Silicon Valley, MIT, UC Berkeley, and IITs.
Building a good digital product is like assembling a Swiss Army knife; the more NLP tasks it can handle translation, summarization, Q&A, the more versatile it becomes. Just don’t expect it to start brewing coffee!
Balancing LLMs is like juggling multiple balls - cost, accuracy, and speed. Mastering this juggling act is crucial for seamless AI performance.
AI is like giving machines a pair of really smart glasses. Now they can analyze your food and give you a recipe, but they won’t question your taste in music.
One of the biggest risks of AI is assuming we fully grasp its implications too soon.
Don't be the startup that goes dark when ChatGPT is offline.
Prompt tuning is like giving your AI a crash course about your thinking and your ideology.
Hands-on components to experience product design, model building, and testing
Learn from the best
1x1 interaction with stalwarts from Google, Amazon, IIT Delhi
Hands-on Bootcamp
Not another theoretical Bootcamp
Learn by doing.
Exciting prizes to be won
₹50,000 cash prize for the winner and application acceleration for ACE Program
Learn, Leverage, and Launch yourself with insights from AI leaders at Silicon Valley, MIT, UC Berkeley, and IITs.
Partners
Eligibility & Process
Who can apply
Early-stage AI entrepreneurs or who want to startup in next 6 months.
Prerequisites
-
Super good coding in python,
-
ML concepts clarity,
-
Ability to install an open source LLM/vision model;
-
Built an end-to-end innovative product,
-
Full-stack coding preferred.
What will you learn in the workshop?
STEP 01
Define
Understand a problem deeply and create an effective digital product.
STEP 03
Building AI models
Making choices on model type, open/ closed source, latency, cost, and memory.
STEP 02
Preparation around models
Understand LLM application areas, SOTA results. Developing evaluation criteria for AI products.
STEP 04
Deployment and monitoring
Model deployment choices, tools and continuous monitoring. Data security, protection & AI ethics.