AWS Data Engineering Bootcamp
Master enterprise-grade data engineering solutions with Amazon Web Services under expert guidance. Enroll in our intensive bootcamp designed specifically for building scalable data pipelines, implementing robust governance frameworks, and deploying production-ready analytics solutions using AWS Glue, EMR, Redshift, and advanced orchestration tools for comprehensive cloud data mastery.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
What you'll learn
- Develop ETL pipelines using PySpark, AWS Glue, and EMR cluster management
- Implement advanced analytics with Athena, Redshift, and Spark SQL optimization
- Build real-time streaming solutions using Kinesis and orchestration workflows
- Configure AWS Lake Formation, S3 data lakes, and Glue Data Catalog for governance
- Deploy machine learning pipelines with SageMaker and automated monitoring systems
- Create infrastructure-as-code solutions using CDK and CI/CD automation pipelines
- Apply security best practices, IAM policies, and compliance audit frameworks
Why should you attend?
This comprehensive bootcamp provides hands-on experience with Amazon Web Services data engineering tools and practices. Participants will master the AWS ecosystem including Lake Formation, AWS Glue, Amazon EMR, and Amazon S3 for building robust data lakes and governance frameworks. The program covers essential infrastructure components such as Identity and Access Management, Virtual Private Cloud networking, and Elastic Compute Cloud instances configured for data engineering workflows. The curriculum progresses through advanced data processing techniques using PySpark and Apache Spark SQL, enabling participants to perform complex data transformations, cleaning, and analytics. Students will gain expertise in Amazon Athena for SQL-based data access, Amazon Redshift for data warehousing, and real-time streaming with Amazon Kinesis. The program emphasizes practical orchestration using AWS Step Functions, AWS Lambda, and Amazon EventBridge for automated workflow management. Advanced topics include machine learning integration with Amazon SageMaker, comprehensive monitoring using Amazon CloudWatch, and infrastructure-as-code deployment with AWS Cloud Development Kit. The bootcamp culminates in a capstone project involving end-to-end pipeline development for banking risk analytics, incorporating security best practices, compliance requirements, and cost optimization strategies. Participants will also master continuous integration and deployment workflows using AWS CodePipeline, CodeBuild, and CodeCommit for production-ready data engineering solutions.
Course Syllabus
Day 1 - AWS Foundations Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Processing ETL
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Analytics and Orchestration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Streaming and ML
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Day 5 - Production Pipeline Capstone
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 5
Ratings and Reviews
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
Instructor Reviews
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
Courses you may like
Why should you attend?
This comprehensive bootcamp provides hands-on experience with Amazon Web Services data engineering tools and practices. Participants will master the AWS ecosystem including Lake Formation, AWS Glue, Amazon EMR, and Amazon S3 for building robust data lakes and governance frameworks. The program covers essential infrastructure components such as Identity and Access Management, Virtual Private Cloud networking, and Elastic Compute Cloud instances configured for data engineering workflows. The curriculum progresses through advanced data processing techniques using PySpark and Apache Spark SQL, enabling participants to perform complex data transformations, cleaning, and analytics. Students will gain expertise in Amazon Athena for SQL-based data access, Amazon Redshift for data warehousing, and real-time streaming with Amazon Kinesis. The program emphasizes practical orchestration using AWS Step Functions, AWS Lambda, and Amazon EventBridge for automated workflow management. Advanced topics include machine learning integration with Amazon SageMaker, comprehensive monitoring using Amazon CloudWatch, and infrastructure-as-code deployment with AWS Cloud Development Kit. The bootcamp culminates in a capstone project involving end-to-end pipeline development for banking risk analytics, incorporating security best practices, compliance requirements, and cost optimization strategies. Participants will also master continuous integration and deployment workflows using AWS CodePipeline, CodeBuild, and CodeCommit for production-ready data engineering solutions.
What you'll learn
- Develop ETL pipelines using PySpark, AWS Glue, and EMR cluster management
- Implement advanced analytics with Athena, Redshift, and Spark SQL optimization
- Build real-time streaming solutions using Kinesis and orchestration workflows
- Configure AWS Lake Formation, S3 data lakes, and Glue Data Catalog for governance
- Deploy machine learning pipelines with SageMaker and automated monitoring systems
- Create infrastructure-as-code solutions using CDK and CI/CD automation pipelines
- Apply security best practices, IAM policies, and compliance audit frameworks
Course Syllabus
Day 1 - AWS Foundations Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - Data Processing ETL
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Analytics and Orchestration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Streaming and ML
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Day 5 - Production Pipeline Capstone
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 5
Instructor Reviews
Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'
Courses you may like
Our Offers
Become a Trainer
Teach what you love. Abundent Academy gives you the tools you need to run your own trainings! We provide you with the platform, the students, the materials, and the support you need to succeed!
- Higher trainer payouts
- Ready-made course materials
- Student management system
- AI digital marketing assistant
Academy for Business
Get unlimited access to all of Abundent Academy's carefully curated courses for your team, all organized according to job category and role! Perfect for companies looking to upskill their workforce and stay ahead in the tech industry.
- Carefully curated courses
- Role-based learning paths
- Team progress tracking
- Gap Identification and Analysis
Top companies choose Academy for Business
201601037204 (1208145-P)
