RegularPython – Python + AWS Data Engineer + AI +GenerativeAi + AgenticAI

Complete Training Plan

AWS Data Engineer with GenAI & Agentic AI

60 Classes · 12 Phases · 120 Hours of Learning

📚 60 Classes

⚡ 12 Phases

⏱ 120h Total

🟢 20 Beginner

🟡 24 Intermediate

🟠 15 Advanced

🔴 1 Expert

Phase 01 🐍 Python Core Foundations Days 1–10

#	Class Name	Topics Covered	Hours	Level
01	Python Introduction	Installation, IDE Setup, First Program, Variables, Data Types	2h	Beginner
02	Python Operators	Arithmetic, Assignment, Comparison, Logical Operators	2h	Beginner
03	Python Strings	String Methods, Formatting, f-Strings, Slicing	2h	Beginner
04	Lists & Tuples	CRUD Operations, Iteration, Nested Collections	2h	Beginner
05	Sets & Dictionaries	Hashing, Dictionary Methods, Real-Time Examples	2h	Beginner
06	Conditional Statements	if, elif, else, Match Case	2h	Beginner
07	Loops	for, while, break, continue, enumerate	2h	Beginner
08	Functions	Arguments, Return Values, Lambda Functions	2h	Beginner
09	OOPs Concepts	Class, Object, Inheritance, Polymorphism	2h	Intermediate
10	Advanced Python	Decorators, Generators, Context Managers, Exception Handling	2h	Intermediate

Phase 02 📊 Pandas For Data Engineering Days 11–14

#	Class Name	Topics Covered	Hours	Level
11	Pandas Introduction	Series, DataFrame, Reading CSV/Excel	2h	Beginner
12	Data Cleaning	Missing Values, Duplicates, Type Conversion	2h	Intermediate
13	Data Transformation	Filtering, Sorting, GroupBy, Merge	2h	Intermediate
14	Pandas ETL Project	Real-Time ETL Using CSV Files	2h	Intermediate

Phase 03 🔥 PySpark Days 15–20

#	Class Name	Topics Covered	Hours	Level
15	PySpark Introduction	Spark Architecture, Cluster Concepts	2h	Beginner
16	RDD & DataFrames	RDD, DataFrame Creation, Schema	2h	Intermediate
17	Transformations	Select, Filter, GroupBy, Aggregations	2h	Intermediate
18	Joins & Window Functions	Inner, Left, Right Joins, Windows	2h	Intermediate
19	Performance Tuning	Partitioning, Caching, Optimization	2h	Advanced
20	PySpark ETL Project	Large Scale Data Processing Project	2h	Advanced

Phase 04 🗄️ SQL & Databases Days 21–26

#	Class Name	Topics Covered	Hours	Level
21	SQL Fundamentals	DDL, DML, DQL Commands	2h	Beginner
22	SQL Joins	Inner, Left, Right, Full Joins	2h	Intermediate
23	Advanced SQL	CTE, Views, Stored Procedures	2h	Intermediate
24	PostgreSQL & MySQL	Database Design, Constraints	2h	Intermediate
25	DynamoDB & Vector DB	NoSQL Concepts, Embeddings Storage	2h	Intermediate
26	Amazon Redshift	Warehouse Design, Loading Data	2h	Advanced

Phase 05 ☁️ AWS Core Services Days 27–35

#	Class Name	Topics Covered	Hours	Level
27	AWS Introduction	AWS Global Infrastructure, IAM Basics	2h	Beginner
28	AWS IAM	Users, Groups, Roles, Policies	2h	Beginner
29	AWS S3	Buckets, Storage Classes, Events	2h	Beginner
30	AWS Lambda	Architecture, Triggers, Deployment	2h	Intermediate
31	AWS API Gateway	REST APIs, Lambda Integration	2h	Intermediate
32	AWS SQS	Queues, DLQ, FIFO	2h	Intermediate
33	AWS SNS & EventBridge	Pub/Sub, Event Driven Architecture	2h	Intermediate
34	CloudWatch	Logs, Metrics, Monitoring	2h	Intermediate
35	CloudFormation & Athena	IaC Basics, Query S3 Data	2h	Advanced

Phase 06 ⚡ AWS Lambda Projects Days 36–39

#	Class Name	Topics Covered	Hours	Level
36	Single Lambda ETL Project	File Processing ETL	2h	Intermediate
37	API Gateway Lambda ETL	REST ETL Service	2h	Advanced
38	Lambda Orchestration	Step-by-Step Workflow	2h	Advanced
39	Production ETL Architecture	Real-Time ETL Design	2h	Advanced

Phase 07 🔧 AWS Glue Days 40–43

#	Class Name	Topics Covered	Hours	Level
40	Glue Fundamentals	Jobs, Crawlers, Catalog	2h	Intermediate
41	Glue ETL with Pandas	Medium Data Processing	2h	Intermediate
42	Glue PySpark ETL	Large Scale Data Processing	2h	Advanced
43	Glue Crawler Project	Automated Metadata Discovery	2h	Advanced

Phase 08 🚀 AWS EMR & Databricks Days 44–47

#	Class Name	Topics Covered	Hours	Level
44	AWS EMR Fundamentals	Cluster Creation, Spark Jobs	2h	Intermediate
45	EMR ETL Project	Enterprise ETL Pipeline	2h	Advanced
46	Databricks Fundamentals	Workspace, Notebook, Cluster	2h	Intermediate
47	Databricks ETL Project	Lakehouse ETL Architecture	2h	Advanced

Phase 09 🌐 FastAPI For Data Engineers Days 48–50

#	Class Name	Topics Covered	Hours	Level
48	FastAPI Basics	Routing, Request, Response	2h	Intermediate
49	FastAPI Advanced	Pydantic, Dependency Injection	2h	Advanced
50	FastAPI ETL API Project	Production API Development	2h	Advanced

Phase 10 🤖 Prompt Engineering & GenAI Days 51–54

#	Class Name	Topics Covered	Hours	Level
51	Prompt Engineering Basics	Prompt Types, Best Practices	2h	Beginner
52	Advanced Prompting	Chain of Thought, Few Shot	2h	Intermediate
53	Generative AI Concepts	LLM, Embeddings, RAG	2h	Intermediate
54	GenAI Project	RAG Based Data Engineering Assistant	2h	Advanced

Phase 11 🧠 Agentic AI Days 55–57

#	Class Name	Topics Covered	Hours	Level
55	Agentic AI Fundamentals	Agents, Tools, Workflows	2h	Intermediate
56	Multi-Agent Systems	Agent Communication & Memory	2h	Advanced
57	Agentic AI Project	AI Data Engineering Assistant	2h	Advanced

Phase 12 ⚙️ DevOps, Streaming & Design Patterns Days 58–60

#	Class Name	Topics Covered	Hours	Level
58	DevOps For Data Engineers	GitHub, Jenkins, CI/CD, Airflow	2h	Intermediate
59	Streaming Technologies	Kafka, Kinesis, SQS, SNS	2h	Advanced
60	System Design & Capstone	Synchronous/Asynchronous Design Patterns, End-to-End AWS + GenAI Project	2h	Expert

🎯 Final Outcomes After 60 Classes

Python Developer Skills

SQL & Database Expertise

Pandas & PySpark ETL Development

AWS Lambda Projects

AWS Glue Projects

AWS EMR Projects

Databricks ETL Projects

FastAPI Development

Streaming Architecture (Kafka/Kinesis)

CI/CD & Airflow Knowledge

Generative AI Projects

Agentic AI Projects

End-to-End Production Data Engineering

Resume + Interview Ready Profile