Big Data AI: 4 months
Boot Camp
Master the future of technology with our Big Data AI Boot Camp.
Course Modules
Week 1-3: Foundations of Big Data & Programming Basics
Week 1: Introduction to Big Data
- What is Big Data? Characteristics (Volume, Variety, Velocity, etc.).
- Overview of Big Data tools: Hadoop, Spark, NoSQL databases.
- Data Lifecycle: Collection, storage, processing, analysis.
- Hands-on: Basic data collection and exploration.
Week 2: Python Programming Essentials
- Python basics: Variables, data types, loops, and conditionals.
- Libraries for Big Data and AI: NumPy, Pandas, Matplotlib.
- Hands-on: Data manipulation and visualization with Pandas and Matplotlib.
Week 3: Data Storage & Processing
- Databases: SQL vs. NoSQL, Introduction to MongoDB and HDFS.
- Data pipelines and ETL processes.
- Hands-on: Create a data pipeline using Python and MongoDB.
Week 4-6: Data Engineering & Analysis
Week 4: Advanced Data Handling
- Working with structured and unstructured data.
- Introduction to Apache Spark for Big Data processing.
- Hands-on: Data processing with PySpark.
Week 5: Data Analysis Techniques
- Statistical methods for data analysis.
- Exploratory Data Analysis (EDA): Detecting trends and patterns.
- Hands-on: Perform EDA on a real-world dataset.
Week 6: Data Visualization
- Tools for visualization: Tableau, Seaborn, and Power BI.
- Creating dashboards and storyboarding.
- Hands-on: Build a dashboard for a business use case.
Week 7-9: Introduction to Machine Learning and Deep Learning
Week 7: Machine Learning Basics
- ypes of ML: Supervised, Unsupervised, and Reinforcement Learning.
- Algorithms: Linear regression, k-means clustering, decision trees.
- Hands-on: Build and evaluate simple ML models using Scikit-learn.
Week 8: Deep Learning Essentials
- Introduction to neural networks and deep learning.
- Frameworks: TensorFlow and PyTorch.
- Hands-on: Train a basic neural network for image classification.
Week 9: Generative AI and Agentic AI
- Introduction to Generative AI: GANs, transformers.
- Agentic AI: Concept and applications.
- Hands-on: Build a text generator using GPT and Hugging Face libraries.
Week 10-12: Advanced AI Concepts and Applications
Week 10: Retrieval-Augmented Generation (RAG)
- Understanding RAG and its significance.
- Integration with knowledge bases.
- Hands-on: Build a RAG-powered chatbot.
Week 11: AI in Action
- Case studies: AI in healthcare, finance, retail, and more.
- Hands-on: Develop an AI-driven project (e.g., recommendation system).
Week 12: Capstone Project & Certification
- Individual/Group project: Solve a real-world problem using Big Data and AI.
- Presentation and evaluation.
- Course wrap-up and certification.
Course Structure
Duration
12 weeks
Weekly Schedule
4 classes/week (4 hours each)
Total Hours
192 Hours