AI Full Stack Developer course page — syllabus, duration, fees, and curriculum details
AI
Full Stack Certification
New batch
Hiring support
Live + recorded
AI Full Stack
Development
Build production-ready web applications end-to-end. From Python fundamentals and Django backends to React frontends, REST APIs, databases, deployment, and everything in between.
6 mo
Duration
12
Modules
200+
Coding hrs
8
Projects
95%
Placement
Syllabus
12 modules · 24 weeks
01
Python for AI development
Python syntax, data types, OOP
NumPy, Pandas, Matplotlib
Lab: data analysis pipeline
02
Machine learning fundamentals
Regression, classification, clustering
Scikit-learn, model evaluation
Lab: house price predictor
Project: ML-powered recommendation engine
03
Deep learning & neural networks
PyTorch & TensorFlow basics
CNNs, RNNs, transformers intro
Project: image classifier web app
04
Large language models & prompt engineering
OpenAI, Anthropic, Gemini APIs
Prompt engineering, RAG, fine-tuning
Lab: custom AI chatbot with Claude
05
Django backend & REST APIs
Django ORM, views, auth, DRF
JWT tokens, API versioning, Swagger docs
Project: AI-powered REST API backend
06
React frontend & AI UX patterns
React hooks, Redux Toolkit, TanStack Query
Streaming responses, chat UI, code editors
Project: AI coding assistant frontend
07
Databases, vector DBs & retrieval
PostgreSQL, Redis, MongoDB
Pinecone, ChromaDB, embeddings
Lab: semantic search with RAG pipeline
08
MLOps & model deployment
Docker, Kubernetes, CI/CD pipelines
AWS SageMaker, HuggingFace Spaces
Project: deploy ML model as API
09–12
Capstone: end-to-end AI product
Agile sprints, code reviews, mentoring
Build & deploy your own AI SaaS product
Demo day + certification ceremony
Learning timeline
Weeks 1–4
Foundation phase
Python mastery, NumPy/Pandas, environment setup, first ML models with Scikit-learn.
Weeks 5–10
AI & deep learning phase
Neural networks, LLM APIs, prompt engineering, RAG pipelines, vector databases.
Weeks 11–18
Full stack phase
Django REST APIs, React frontend, databases, authentication, AI-integrated web apps.
Weeks 19–24
Capstone & career phase
MLOps, deployment, capstone product build, demo day, portfolio review, job prep.
Tools & technologies
Languages
Python
JavaScript
SQL
HTML/CSS
AI / ML
PyTorch
OpenAI API
Anthropic Claude
LangChain
ChromaDB
Scikit-learn
Backend & frontend
Django
DRF
React
PostgreSQL
Redis
DevOps & cloud
Docker
AWS
GitHub Actions
Kubernetes
Fees & enrolment
₹49,999
₹79,999
Save 38%
EMI from ₹4,200/mo · 0% interest available
200+ hours live sessions
Lifetime recorded access
8 real-world projects
1:1 mentor sessions
Resume & LinkedIn review
Mock interviews (5 rounds)
Placement assistance
UpsSkills certificate
Skills you gain
Python
ML / DL
LLM APIs
Django
React
MLOps
SQL / VDB
Docker
Certification
UpsSkills Certified AI Full Stack Developer
Industry-recognized credential. Shareable on LinkedIn with a verified badge and project portfolio link.
Your mentors
RK
Ravi Kumar
Senior ML Engineer · ex-Google
PS
Priya Sharma
Full Stack Architect · ex-Flipkart
AJ
Arjun Joshi
AI Product Lead · ex-Microsoft
FAQs
Who can join?
Anyone with basic computer knowledge. No prior coding experience required — we start from scratch with Python.
Live or self-paced?
Primarily live sessions on weekends (Sat–Sun, 10am–1pm IST) with all recordings available for lifetime access.
Is placement guaranteed?
We offer placement assistance with our hiring partners. 95% of our graduates land jobs within 3 months of completion.
What's the batch size?
Capped at 30 students per batch to ensure quality mentoring and 1:1 attention.
