Cohort 1
FlowTaskCOHORT 1 CURRICULUM · OCT-DEC 2026

Two Specialized Tracks.
Real Production Code.

Choose between Full-Stack Web Development or Data Science & AI/ML. Both tracks feature a foundational Basic tier (₹499) and a production Training & Internship tier (₹1,499) with direct hiring consideration.

PROGRAM LENGTH3 Months
FINAL STAGEFlowTaskFlowTask Live PR
TRACK SPECIFICATION · DS-AIML

Data Science & AI/ML Track

From foundational statistical computation to building transformer models, generative AI agent workflows, and production MLOps deployment pipelines.

Target Career Roles

AI / LLM EngineerMachine Learning EngineerData Scientist

Technologies Mastered Throughout This Track:

Python 3.12PyTorchLangChainHugging FacePandas & NumPyFastAPIScikit-LearnPinecone / ChromaDockerMLflowOpenCVWeights & Biases
MOST POPULAR · PRODUCTION TIER

Training & Internship Tier (₹1,499)

Full 3-month production AI curriculum + 4th month building models for FlowTask + 1-on-1 mentorship & hiring consideration.

Enrol in Training & Internship (₹1,499)
Month 1Phase 1

Advanced Machine Learning, Pipelines & Analytics

Focus: Gradient Boosting & Feature Engineering

  • •Advanced ensemble methods: XGBoost, LightGBM, CatBoost & hyperparameter tuning
  • •End-to-end automated feature pipelines and data leakage prevention
  • •Enterprise Business Intelligence: interactive dashboards with Power BI & Streamlit
  • •Data engineering foundations: data lakes, parquet formats & batch pipeline design
Monthly Deliverable:

High-accuracy production ensemble model with automated tuning and dashboard

Month 2Phase 2

Deep Learning, Generative AI & LLM Systems

Focus: Neural Networks & Retrieval-Augmented Generation

  • •Neural network foundations in PyTorch: autograd, custom layers & backpropagation
  • •Transformer architectures, attention mechanisms, tokenization & Hugging Face
  • •Retrieval-Augmented Generation (RAG): chunking strategies, embeddings & vector DBs
  • •Building autonomous LLM agents with LangChain, tool calling & structured outputs
Monthly Deliverable:

Production RAG assistant with semantic vector search and real-time streaming

Month 3Phase 3

Computer Vision, MLOps & Production Inference

Focus: Model Serving & Cloud Pipelines

  • •Computer vision: CNNs, transfer learning with ResNet/YOLO & image classification
  • •Building high-throughput inference APIs with FastAPI and asynchronous workers
  • •MLOps & model governance: experiment tracking with MLflow, containerization with Docker
  • •Production deployment: monitoring data drift, latency benchmarks & cloud endpoints
Monthly Deliverable:

Containerized, scalable AI inference microservice with automated tracking

PHASE 4 · THE LIVE AI INTERNSHIP

Deploy live AI & neural memory features for FlowTask

FlowTask is an AI-powered company building real-time memory layers for enterprise AI agents. During your final month, you will work on our live vector retrieval architectures, multimodal embedding pipelines, and inference optimizations. Your code gets evaluated against production benchmarks and merged into our core system.

✓ Work on FlowTask Core Neural Engine
✓ Benchmark real vector retrieval pipelines
✓ Direct AI Engineering Interview consideration
✓ Verified Government-backed Certificate
FOUNDATIONAL TRACK

Basic Program Tier (₹499)

Master Python for Data Science, linear algebra, statistics, and machine learning models from scratch. Guided labs and verified certificate.

Month 1Phase 1

Python Foundations & Mathematical Intuition

Focus: Programming & Linear Algebra

  • •Modern Python 3: Data structures, OOP, generators, decorators & modular design
  • •Git & GitHub version control: collaborative development and notebook hygiene
  • •Mathematics for Machine Learning: Linear algebra, vectors, matrices & dot products
  • •Calculus & optimization fundamentals: cost functions, derivatives & gradient descent
Monthly Milestone:

Lab: Build an algorithmic portfolio analysis tool from scratch in Python

Month 2Phase 2

Statistical Modeling & Exploratory Analysis

Focus: Data Wrangling & Statistical Inference

  • •Probability distributions, Bayes theorem, hypothesis testing & p-values
  • •Data wrangling at scale with Pandas: grouping, windowing, pivoting & merging
  • •Data visualization: publication-quality charts using Matplotlib & Seaborn
  • •Handling real-world messiness: missing values, outliers & data normalization
Monthly Milestone:

Lab: End-to-end exploratory analysis report uncovering hidden business insights

Month 3Phase 3

SQL Analytics & Machine Learning Basics

Focus: Database Querying & Supervised ML

  • •SQL for Data Science: complex joins, window functions & aggregations
  • •Feature engineering, categorical encodings & train/test validation splits
  • •Supervised learning: Linear/Logistic regression, Decision Trees & Random Forests
  • •Evaluating models: ROC-AUC, Precision, Recall, F1-Score & Confusion Matrices
Monthly Milestone:

Capstone: Predictive ML model with SQL ingestion and deployed evaluation dashboard

💡 Upgrade guarantee: You can start in Basic and upgrade to Training & Internship anytime for just ₹1,000 (your full ₹499 is credited).

Learn more →

Ready to build next-generation AI systems?

Admissions for the October-December 2026 cohort are open now. Secure your seat before the batch fills up.