Course Structure

Wk 0: Database & Python

• Introduction to Databases

• SQL Basics and Advanced Queries

• Database Design and Normalization

• Python Fundamentals

• Data Manipulation using Python (Pandas, NumPy)

• Connecting Python to Databases (SQLAlchemy, psycopg2)

Wk 1: Cloud technology

• Introduction to Cloud Computing

• Overview of Major Cloud Providers (AWS, Azure, Google Cloud)

• Cloud Infrastructure Basics (Compute, Storage, Networking)

• Cloud Security and Best Practices

• Introduction to Google Cloud Platform

Wk 2: Data Engineering and Front-end

• Data Pipelines and ETL Processes

• Data Warehousing Concepts

• Introduction to airflow Technologies

• Data Lake vs Data Warehouse

• Real-time Data Processing

Wk 3: Data Science Foundation

• Introduction to Data Science

• Exploratory Data Analysis (EDA)

• Statistical Analysis and Hypothesis Testing

• Machine Learning Basics

• Data Visualization Techniques

Wk 4: AI, LLM, GEN AI 

• Overview of AI and Machine Learning

• Introduction to Large Language Models (LLM)

• Generative AI Concepts

• Deep Dive into Google GenAI

Wk 5: Agile & working with PM 

• Agile Methodology Fundamentals

• Scrum and Kanban Practices

• Working with Product Managers

• Effective Communication and Collaboration in Teams

• Team up with PM. 

Wk 6: Managed AI platform(Google Vertex) 

• Introduction to Managed AI Platforms

• Google Vertex AI Overview

• Building and Deploying Models with Vertex AI

• Monitoring and Managing AI Models

Wk 7-8: Hands-on project 

• Define project scope and objectives

• Develop project plan and milestones

• Implement project using skills learned in previous weeks

• Weekly progress reviews and feedback sessions

Wk 9: product release and post release support 

• Finalizing and Preparing for Product Release

• Deployment Strategies

• Post-release Monitoring and Support

• Handling User Feedback and Bug Fixes

Wk 10-11: resume and interview and soft skills 

• Building an Effective Resume

• Preparing for Technical and Behavioral Interviews

• Developing Soft Skills (Communication, Leadership, Teamwork)

• Mock Interviews

• Networking and Career Development