Master AWS Lambda Functions for Data Engineers using Python from Udemy

Do you want to learn AWS Lambda Functions by building an end-to-end data pipeline using Python as Programming Language and other key AWS Services such as Boto3, S3, Dynamodb, ECR, Cloudwatch, Glue Catalog, Athena, etc? Here is one course using which you will learn AWS Lambda Functions by implementing an end-to-end pipeline by using all the services mentioned.

As part of this course, you will learn how to develop and deploy lambda functions using the zip files, custom docker images as well as layers. Also, you will understand how to trigger lambda functions from Eventsbridge as well as Step Functions.

Set up required tools on Windows to develop the code for ETL Data Pipelines using Python and AWS Services. You will take care of setting up Ubuntu using wsl, Docker Desktop, and Visual Studio Code along with Remote Development Extension Kit so that you can develop Python-based applications using AWS Services.
Setup Project or Development Environment to develop applications using Python and AWS Services on Windows and Mac.
Getting Started with AWS by creating an account in AWS and also configuring AWS CLI as well as Review Data Sets used for the project
Develop Core Logic to Ingest Data from source to AWS s3 using Python boto3. The application will be built using Boto3 to interact with AWS Services, Pandas for date arithmetic, and requests to get the files from the source via REST API.
Getting Started with AWS Lambda Functions using Python 3.9 Run-time Environment
Refactor the application, and build a zip file to deploy as AWS Lambda Function. The application logic includes capturing bookmarks as well as Job Run details in Dynamodb. You will also get an overview of Dynamodb and how to interact with Dynamodb to manage Bookmark as well as Job Run details.
Create AWS Lambda Function using a Zip file, deploy using AWS Console and Validate.
Troubleshoot issues related to AWS Lambda Functions using AWS Cloudwatch
Build a custom docker image for the application and push it to AWS ECR
Create AWS Lambda Function using the custom docker image in AWS ECR and then validate.
Get an understanding of AWS s3 Event Notifications or s3-based triggers on Lambda Function.
Develop another Python application to transform the data and also write the data in the form of Parquet to s3. The application will be built using Pandas by converting 10,000 records at a time to Parquet.
Build orchestrated pipeline using AWS s3 Event Notifications between the two Lambda Functions.
Schedule the first lambda function using AWS EventsBridge and then validate.
Finally, create an AWS Glue Catalog table on the s3 location which has parquet files, and validate by running SQL Queries using AWS Athena.
After going through the complete life cycle of Deploying and Scheduling Lambda Function and also validating the data by using Glue Catalog and AWS Athena, you will also understand how to use Layers for Lambda Function.

Here are the key takeaways from this training:

Develop Python Applications and Deploy as Lambda Functions by using a Zip-based bundle as well as a custom docker image.
Monitor and troubleshoot the issues by going through Cloudwatch logs.
The entire application code used for the demo along with the notebook used to come up with core logic.
Ability to build solutions using multiple AWS Services such as Boto3, S3, Dynamodb, ECR, Cloudwatch, Glue Catalog, Athena, etc

What's inside

Learning objectives

Setup required tools on windows to develop the code for etl data pipelines using python and aws services
Setup project or development environment to develop applications using python and aws services
Getting started with aws by creating account in aws and also configure aws cli as well as review data sets used for the project
Develop core logic to ingest data from source to aws s3 using python boto3
Getting started with aws lambda functions using python 3 run-time environment
Refactor the application, build zip file to deploy as aws lambda function
Create aws lambda function using zip file and validate

Troubleshoot issues related to aws lambda functions using aws cloudwatch
Build custom docker image for the application and push to aws ecr
Create aws lambda function using the custom docker image in aws ecr
Develop applications using aws lambda functions by adding python modules as layers
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Setup required tools on windows to develop the code for etl data pipelines using python and aws services
Setup project or development environment to develop applications using python and aws services
Getting started with aws by creating account in aws and also configure aws cli as well as review data sets used for the project
Develop core logic to ingest data from source to aws s3 using python boto3
Getting started with aws lambda functions using python 3 run-time environment
Refactor the application, build zip file to deploy as aws lambda function
Create aws lambda function using zip file and validate
Troubleshoot issues related to aws lambda functions using aws cloudwatch
Build custom docker image for the application and push to aws ecr
Create aws lambda function using the custom docker image in aws ecr
Develop applications using aws lambda functions by adding python modules as layers
Show more
Show less

Syllabus

Introduction to Mastering AWS Lambda Functions for Data Engineers

Resources used for Mastering AWS Lambda Functions for Data Engineers

Getting Started on Windows with Required Tools

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops skills and knowledge in Python boto3, AWS Lambda, Docker, EC2 in a real-world context

Covers AWS Lambda Functions by implementing an end-to-end pipeline and using AWS services like AWS EventsBridge and Step Functions

Introduces learners to Python 3.9 and teaches the use of distutils for package management

Provides personalized instruction with instructors like Durga Viswanatha Raju Gadiraju, Naga Bhuwaneshwar, and Kavitha Penmetsa

Requires learners to have basic familiarity with Python and AWS services, which may limit accessibility for beginners

Reviews summary

Practical aws lambda for data engineering

According to students, this course offers a highly practical, project-based approach to mastering AWS Lambda for data engineers using Python. Learners frequently highlight its end-to-end data pipeline project as a core strength, providing hands-on experience with essential AWS services like S3, DynamoDB, and Athena. While some found the initial environment setup challenging or noted minor UI inconsistencies due to AWS console updates, the overall consensus is that the course delivers clear explanations and valuable real-world application skills. It is particularly effective for those seeking to deploy Lambda via both zip files and custom Docker images, though a few found the pacing fast or desired deeper theoretical insights.

Environment setup on Windows, including WSL and Docker, can be challenging.

"The setup process for WSL and Docker was a bit challenging initially, but once past that, the content flowed well."

"I appreciated the detailed steps on setting up the environment, even though it took some time."

"Understanding how to manage bookmarks and job runs with DynamoDB was a key takeaway, but the initial setup was tough."

Instructor provides clear and practical explanations for complex topics.

"The instructor's explanations are clear and practical."

"The core concepts are well-explained."

"I particularly loved how it covered deploying Lambda using both zip files and custom Docker images, which is very relevant."

Focuses on building a comprehensive, real-world data pipeline.

"This course is incredibly comprehensive, especially the hands-on labs and building the end-to-end data pipeline."

"Overall a very good course. The practical approach to integrating Lambda with S3, DynamoDB, and Athena is a major plus."

"Excellent course for data engineers. The project-based learning is effective."

Minor inconsistencies due to AWS console UI changes observed by some learners.

"The course has good information, but it feels a bit dated in some areas, especially around AWS console UI changes. I had to do some extra research to match the current interface."

"I sometimes found myself navigating a slightly different AWS console UI than shown in the videos."

Some sections are fast-paced, and deeper theoretical understanding may be lacking.

"I found this course somewhat difficult to follow. The instructor sometimes speaks very fast, and the code examples could use more inline comments."

"While it covers many services, I felt like I was just copying code without truly understanding the 'why' behind certain architectural decisions."

"Some sections felt a little rushed, but the core concepts are well-explained."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master AWS Lambda Functions for Data Engineers using Python with these activities:

Explore AWS Lambda Tutorials

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Gain a foundational understanding of AWS Lambda and its capabilities to prepare for this course's focus on Lambda functions.

Browse courses on AWS Lambda

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Follow tutorials on AWS Lambda's architecture and features.
Build a simple Lambda function using AWS's online tutorials.

Review AWS Fundamentals

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Review the fundamentals of AWS to ensure you have a solid understanding before diving into Lambda Functions.

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Go through the AWS documentation on core services such as S3, EC2, and DynamoDB.
Complete the AWS Cloud Practitioner Essentials course on Coursera.

Review Python Data Science

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Solidify your understanding of Python Data Science concepts and tools to prepare for this course's material.

Browse courses on Python

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Review basic Python syntax and data types.
Go through a tutorial on Pandas for data manipulation.
Complete practice problems on data analysis and visualization using Python.

Nine other activities

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Solve Python Coding Problems

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Enhance your problem-solving skills and refine your Python coding abilities to prepare for this course's programming assignments.

Browse courses on Problem Solving

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Solve Python coding problems on platforms like LeetCode or HackerRank.
Participate in coding challenges or hackathons.

Organize and Review Course Materials

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Review the course materials such as notes, assignments, and quizzes to solidify your understanding.

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Gather all course materials.
Organize the materials by topic or module.

Build a Simple AWS Lambda Function with Python

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Follow a guided tutorial to build a basic Lambda function in Python, which will reinforce the concepts covered in the course.

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Follow the tutorial on the AWS Lambda Developer Guide.
Deploy your Lambda function and test it with sample data.

Collaborate on a Lambda Function Project

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Enhance your understanding of Lambda functions and data pipelines by working collaboratively with peers on a project.

Browse courses on AWS Lambda

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Form a small group with other students.
Choose a project idea that involves building a data pipeline using Lambda functions.
Collaborate on designing, developing, and deploying your project.

Practice Troubleshooting Lambda Functions

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Engage in practice drills to troubleshoot common issues that may arise with Lambda Functions, enhancing your problem-solving skills.

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Review the AWS documentation on troubleshooting Lambda Functions.
Complete the AWS Lambda Troubleshooting Challenge on HackerRank.

Develop a Personal Project Using AWS

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Demonstrate your understanding of AWS services and data pipelines by building a practical project that utilizes Lambda functions.

Browse courses on AWS

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Identify a real-world problem that can be solved using AWS services.
Design and develop a solution using Lambda functions, S3, and other relevant AWS services.
Deploy and test your project on AWS.

Develop a Data Pipeline Using AWS Lambda Functions

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Create a data pipeline that utilizes AWS Lambda Functions to process and store data, putting your newfound knowledge into practice.

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Design the data pipeline architecture.
Implement the data pipeline using AWS Lambda Functions and other AWS services.
Test and deploy the data pipeline.

Participate in the AWS Lambda Hackathon

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Put your skills to the test by participating in the AWS Lambda Hackathon, offering an opportunity to collaborate and showcase your abilities.

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Form a team and register for the hackathon.
Develop an innovative solution using AWS Lambda Functions.
Submit your project and compete for prizes.

Mentor Junior Data Engineers

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Share your knowledge and skills by mentoring junior data engineers, reinforcing your understanding and fostering a supportive learning community.

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Volunteer as a mentor at a local university or coding bootcamp.
Provide guidance and support to junior data engineers on AWS Lambda Functions and data pipelines.

Career center

Learners who complete Master AWS Lambda Functions for Data Engineers using Python will develop knowledge and skills that may be useful to these careers:

Data Engineer

Data Engineers serve as the backbone of organizations that rely heavily on data to make informed decisions. Their primary responsibility is to design, build, and maintain data pipelines to extract insights and knowledge from large volumes of raw data. As a Data Engineer, you will be responsible for ensuring that data is reliable, accessible, and secure while using various tools like AWS Lambda Functions, Python, and other key AWS Services. This course will equip you with the essential knowledge and skills to succeed as a Data Engineer.

See salaries and explore the career path for Data Engineer

Cloud Engineer

As a Cloud Engineer, you will specialize in designing, implementing, and managing cloud computing infrastructure and services. This involves working with various cloud platforms such as AWS and leveraging services like Lambda Functions to build scalable and reliable applications. The course will provide you with a solid foundation in AWS Lambda Functions, allowing you to effectively develop and deploy applications in the cloud.

See salaries and explore the career path for Cloud Engineer

Full-Stack Developer

As a Full Stack Developer, you possess a comprehensive understanding of both front-end and back-end development. You are responsible for the entire software development lifecycle, from designing and implementing the user interface to managing the database and server-side logic. This course will provide you with the necessary skills to work with AWS Lambda Functions from both the front-end and back-end, enabling you to build robust and efficient full-stack applications.

See salaries and explore the career path for Full-Stack Developer

DevOps Engineer

DevOps Engineers combine software development (Dev) and information technology operations (Ops) practices to improve the speed, quality, and reliability of software delivery. This course will teach you how to use AWS Lambda Functions in your DevOps processes, helping you create a more efficient and collaborative environment for software development and deployment.

See salaries and explore the career path for DevOps Engineer

AWS Solutions Architect

AWS Solutions Architects design and implement scalable, highly available, and cost-effective solutions on the AWS platform. This course will provide you with a deep understanding of AWS Lambda Functions, enabling you to design and implement solutions that meet specific business requirements while adhering to best practices and security guidelines.

See salaries and explore the career path for AWS Solutions Architect

Data Analyst

Data Analysts are responsible for extracting insights and knowledge from data to inform decision-making. This course will teach you how to use AWS Lambda Functions to process and analyze data, enabling you to derive valuable insights that drive business strategies.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course will provide you with a solid understanding of how to use AWS Lambda Functions to interact with databases, perform data operations, and ensure data integrity.

See salaries and explore the career path for Database Administrator

Software Architect

Software Architects design and develop the overall architecture of software systems. This course will give you a comprehensive understanding of how to use AWS Lambda Functions in your software designs, enabling you to create scalable, maintainable, and secure software systems.

See salaries and explore the career path for Software Architect

Cloud Architect

Cloud Architects design and develop cloud computing solutions. They work closely with cloud providers such as AWS to design and implement cloud-based infrastructures and applications. This course will provide you with a solid foundation in AWS Lambda Functions, enabling you to effectively design and deploy cloud-based solutions.

See salaries and explore the career path for Cloud Architect

Computer Systems Analyst

Computer Systems Analysts design, implement, and maintain computer systems. They work with stakeholders to gather requirements, develop solutions, and ensure that systems meet business needs. This course will provide you with a good understanding of how to use AWS Lambda Functions in your systems analysis and design work.

See salaries and explore the career path for Computer Systems Analyst

Business Analyst

Business Analysts work with stakeholders to understand their business needs and develop solutions that meet those needs. This course will teach you how to use AWS Lambda Functions to automate and streamline business processes, enabling you to deliver value to organizations.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan, execute, and close projects. They are responsible for ensuring that projects are delivered on time, within budget, and to the required quality standards. This course will provide you with an understanding of how to use AWS Lambda Functions in your project management processes, helping you manage projects more effectively.

See salaries and explore the career path for Project Manager

Quality Assurance Analyst

Quality Assurance Analysts test and evaluate software to ensure that it meets quality standards. This course will teach you how to use AWS Lambda Functions to automate and streamline your testing processes.

See salaries and explore the career path for Quality Assurance Analyst

Network Engineer

Network Engineers design, implement, and maintain computer networks. They work with a variety of technologies, including routers, switches, firewalls, and cables. This course may provide you with some insights into how to use AWS Lambda Functions in your network engineering work.

See salaries and explore the career path for Network Engineer

Information Security Analyst

Information Security Analysts plan and implement security measures to protect an organization's information systems. This course provides an overview of AWS Lambda Functions and how they can be used to enhance information security.

See salaries and explore the career path for Information Security Analyst