Month 1: Foundations of Data and AI

Building the Data Foundation

Objective:

To equip interns with the fundamental skills required for data and AI projects, covering programming languages, SQL, Big Data, and NoSQL databases.

Module Content:

Section 1: Introduction to Programming Languages

• Overview: Understand the significance of programming languages in the context of data and AI projects.
• Introduction to Python and Java: Explore the basics, syntax, and control structures of Python and Java.

Section 2: Introduction to SQL

• Relational Databases: Understand the concept of relational databases and their role in data management.
• Basic SQL Commands: Learn essential SQL commands such as SELECT, INSERT, UPDATE, DELETE.
• Filtering and Sorting Data: Explore the use of WHERE and ORDER BY clauses in SQL.

Section 3: Introduction to Big Data

• Overview: Gain insights into the world of Big Data and its diverse applications.
• Introduction to Hadoop and Ecosystem: Understand the basics of Hadoop and its ecosystem.
• Introduction to Apache Spark and Kafka: Explore the functionalities of Apache Spark and Kafka in handling large-scale data.

Section 4: NoSQL Databases

• Introduction and Advantages: Understand the advantages of NoSQL databases in handling diverse data types.
• Popular NoSQL Databases: Explore MongoDB, Cassandra, Redis, etc.
• Basic CRUD Operations: Get hands-on experience with basic CRUD operations using NoSQL databases.

Hands-on Project 1:

• Develop a simple Python/Java program utilizing both SQL and NoSQL databases.