Advanced Full Stack Data Science, AI & ML
This Full Stack Data Science, AI & ML program is a job-ready bootcamp that covers the entire AI lifecycle — from data collection and wrangling to machine learning, deep learning, MLOps, and AI deployment.
Learners will:
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Master Python, SQL, and Big Data tools
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Build and optimize Machine Learning & Deep Learning models
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Explore AI/LLMs, Generative AI, and NLP
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Learn MLOps for scaling ML systems
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Complete real-world projects across industries
By the end, participants will be equipped to work as Data Scientists, ML Engineers, AI Developers, or MLOps Engineers.
Course Curriculum
Module 1: Foundations of Data Science & AI
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Introduction to Data Science, AI & ML
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Python Programming for AI (NumPy, Pandas, Matplotlib, Seaborn)
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Statistics & Probability for Machine Learning
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Linear Algebra & Calculus essentials for ML
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Hands-on: Exploratory Data Analysis (EDA) with Python
Module 2: Databases, Data Engineering & Big Data
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SQL (MySQL, PostgreSQL) for Data Science
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NoSQL (MongoDB, Cassandra) for unstructured data
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Data Pipelines (ETL/ELT with Airflow & Spark)
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Data Warehousing & Streaming (Kafka basics)
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Hands-on: Build a mini ETL pipeline
Module 3: Machine Learning (Core AI)
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Supervised Learning: Regression, Classification
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Unsupervised Learning: Clustering, Dimensionality Reduction
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Ensemble Methods: Random Forest, XGBoost, CatBoost
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Model Evaluation, Cross-Validation, Hyperparameter Tuning
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Hands-on: Predictive Modeling on Real Dataset
Module 4: Deep Learning & Generative AI
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Neural Networks (ANN fundamentals)
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CNNs for Image Processing
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RNNs, LSTMs, GRUs for Time Series & NLP
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Transformers & LLMs (BERT, GPT-style models)
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Generative AI: Text, Image & Audio synthesis
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Hands-on:
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Image Classifier with CNNs
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Text Generator with Transformers
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Module 5: AI Deployment & MLOps
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Model Serving with Flask/FastAPI
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Docker & Kubernetes for ML Models
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MLflow & DVC for Experiment Tracking & Versioning
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CI/CD pipelines for ML (Jenkins, GitHub Actions)
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Cloud ML Platforms: AWS Sagemaker, Azure ML, GCP Vertex AI
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Hands-on: Deploy ML model on Cloud
Module 6: Capstone Project & Career Path
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Industry-specific Capstone Projects (Finance, Retail, Healthcare, Cybersecurity, NLP, CV)
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Building a Data Science & AI Portfolio (GitHub, Kaggle)
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Resume Building, Mock Interviews & Career Prep
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Roadmap to Certifications: TensorFlow Developer, AWS ML Specialty, Azure AI Engineer, Databricks ML
Take the First Step Towards Smarter Learning.
Connect with us effortlessly! Get a call back to resolve your queries, request a free demo class to explore our offerings, or book a personalized demo session to dive deeper into your learning journey. Experience a seamless path to mastering data analytics with expert guidance at every step.