Program Modules
Module I: General Information on Cloud Concepts
- Introduction to Cloud Computing
- Advantages of the Cloud
- Introduction to AWS
- AWS Cloud Migration
Module II: Billing and Cloud Economics
- Fundamental aspects of pricing
- Total cost of ownership
- Monthly cost calculator
- Practical case: Delaware North
- AWS Organizations
- AWS Billing and Cost Management
- Billing dashboard
- Support models
Module III: General Information about AWS Global Infrastructure
- AWS Global Infrastructure
- AWS Services and Service Categories
Module IV: Cloud Security
- AWS Shared Responsibility Model
- AWS IAM
- Securing a New AWS Account
- Account Protection
- Data Protection
- How to Ensure Compliance
Module V: Networks and Content Delivery
- Basic concepts of networks
- Amazon VPC
- VPC Networks
- VPC Security
- Route 53
- CloudFront
Module VI: Computer Science
- General information about computing services
- Amazon EC2
- Cost optimization for Amazon EC2
- Container services
- Introduction to AWS Lambda
- Introduction to AWS Elastic Beanstalk
Module VII: Storage
- Introduction
- AWS EBS
- AWS S3
- AWS EFS
- AWS S3 Glacier
Module VIII: Databases
- Introduction
- Amazon RDS
- Amazon DynamoDB
- Amazon Redshift
- Amazon Aurora
Module IX: Cloud Architecture
- Introduction
- Design principles of the AWS Well-Architected Framework
- Operational excellence
- Security
- Reliability
- Performance efficiency
- Cost optimization
- Reliability and high availability
- AWS Trusted Advisor
Module X: Monitoring and Auto Scaling
- Introduction
- Elastic Load Balancing
- Amazon CloudWatch
- Amazon EC2 Auto Scaling
Level II: AWS Academy Data Engineering
AWS Academy Data Engineering
Module I: Welcome to AWS Academy Data Engineering
- Prerequisites and course objectives
- Summary
Module II: Data-Driven Organizations
- Data-Driven Decisions
- The Data Channel: Infrastructure for Data-Driven Decisions
- The Role of the Data Engineer in Data-Driven Organizations
Module III: The Elements of Data
- The five V's of data: volume, velocity, variety, veracity, and value
- Volume and velocity
- Variety - types of data
- Variety - sources of data
- Veracity and value
- Activities to improve veracity and value
- Activity: Planning your pipeline
- Knowledge check
Module IV: Principles and Design Patterns for Data Pipelines
- AWS Good Architecture Framework and Lens
- Activity: Using the Good Architecture Framework
- The Evolution of Data Architectures
- Modern Data Architecture on AWS
- Modern Data Architecture Pipeline: Ingestion and Storage
- Modern Data Architecture Pipeline: Processing and Consumption
- Streaming Analytics Pipeline
- Lab: Querying Data with Athena
- Knowledge Check
Module V: Securing and Scaling the Data Pipeline
- Cloud security review
- Security of analytical workloads
- Machine learning security
- Scaling: overview
- Creating a scalable infrastructure
- Building scalable components
- Knowledge verification
Module VI: Data Ingestion and Preparation
- Comparison of ETL and ELT
- Introduction to Data Manipulation
- Data Discovery
- Data Structuring
- Data Cleaning
- Data Enrichment
- Data Validation
- Data Publishing
- Knowledge Verification
Module VII: Batch or Stream Ingestion
- Comparison of batch and stream ingestion
- Batch ingestion processing
- Specifically designed ingestion tools
- AWS Glue for batch ingestion processing
- Scaling considerations for batch processing
- Lab: performing ETL on a dataset using AWS Glue
- Kinesis for stream processing
- Scaling considerations for stream processing
- IoT data ingestion via stream
- Knowledge check
Module VIII: Data Storage and Organization
- Storage in modern data architecture
- Data lake storage
- Data storage
- Specifically designed databases
- Storage in support of pipelines
- Secure storage
- Laboratory: Data storage and analysis using Amazon Redshift
- Knowledge verification
Module IX: Big Data Processing
- Concepts of big data processing
- Apache Hadoop
- Apache Spark
- Amazon EMR
- Managing your Amazon EMR clusters
- Laboratory: processing logs using Amazon EMR
- Apache Hudi
- Laboratory: Updating dynamic data on-site
- Knowledge check
Module X: Data Processing for ML
- ML Concepts
- The ML Lifecycle
- Framing the ML Problem to Achieve Business Objectives
- Collecting Data
- Applying Labels to Training Data with Known Objectives
- Activity: Labeling with SageMaker Ground Truth
- Data Preprocessing
- Feature Engineering
- Developing a Model
- Model Deployment
- Machine Learning Infrastructure on AWS
- Wise Creator
- Demonstration: Data Preparation and Model Training with SageMaker
- Demonstration: Data Preparation and Model Training with SageMaker Canvas
- AI/ML Services on AWS
- Knowledge Check
Module XI: Data Analysis and Visualization
- Consider the factors that influence the selection of tools
- Comparison of AWS tools and services
- Demonstration: data analysis and visualization with AWS IoT Analytics and QuickSight
- Selection of tools for a game analytics use case
- Laboratory: Streaming data analysis and visualization with Kinesis Data Firehose, OpenSearch Service, and OpenSearch dashboards
- Knowledge check
Module XII: Automation of the Process
- Automation of infrastructure deployment
- CI/CD
- Automation with step functions
- Laboratory: Creation and orchestration of ETL pipelines using Athena and step functions
- Knowledge verification
Module XIII: A Bridge to Certification
Overview of the AWS certification
Current process description
This certification program combines two levels of training at Amazon Web Services (AWS):
- AWS CERTIFIED Cloud Practitioner (CLF-C02): Introduction to the fundamental concepts of cloud computing, AWS global infrastructure and billing models
- AWS Certified Data Engineering - Associate (DEA -C01): Design, implementation and optimization of Data pipes on AWS for Big Data, Machine Learning and advanced analysis environments
- Under the practical Learning Method approach, participants will receive a cloud entrance pack to apply the concepts through workshops, laboratories and projects in real environments, applying concepts from the introduction to the cloud to the advanced data management in AWS
- At the end, they will be prepared to perform as Cloud Engineer, Data Engineer or Big Data Specialist, in addition to approving both certification exams
Objectives
At the end of the course, participants will be able to:
- Understand AWS infrastructure, its main services and its price philosophy
- Implement safety and compliance measures on AWS, including IAM and data encryption
- Design and implement scalable data pipes on AWS, optimizing intake, processing and storage
- Configure and manage Databases on AWS, including Amazon RDS, Dynamodb and Redshift
- Automatize ETL processes in AWS, using AWS GUE, Step Functions and Lambda
- Optimize cloud architectures, ensuring high availability and cost efficiency
- Monitor and analyze data in real time, using kinesis, athena and quicksight
- Prepare for AWS CERTIFIED CLOUD CERTIFICATIONS Practitioner and AWS Certified Data Engineering - Associate, ensuring the mastery of the issues evaluated
Prerequisites
To participate in this training, attendees must meet the following requirements:
- Basic technical knowledge in information technologies.
- Familiarity with databases and SQL language.
- Prior experience in AWS is not required, but it is recommended to have knowledge in IT infrastructure.
These requirements ensure that participants can focus on the practical application of the concepts, from the foundations to the analysis of cloud data.
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| Programa para certificación internacional AWS Certified Cloud Practitioner + Certified Data Engineering - Associate | 70 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by AWS ACADEMY MEMBER INSTITUTION
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certifications
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
All our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.
Current process description
This certification program combines two levels of training at Amazon Web Services (AWS):
- AWS CERTIFIED Cloud Practitioner (CLF-C02): Introduction to the fundamental concepts of cloud computing, AWS global infrastructure and billing models
- AWS Certified Data Engineering - Associate (DEA -C01): Design, implementation and optimization of Data pipes on AWS for Big Data, Machine Learning and advanced analysis environments
- Under the practical Learning Method approach, participants will receive a cloud entrance pack to apply the concepts through workshops, laboratories and projects in real environments, applying concepts from the introduction to the cloud to the advanced data management in AWS
- At the end, they will be prepared to perform as Cloud Engineer, Data Engineer or Big Data Specialist, in addition to approving both certification exams
Objectives
At the end of the course, participants will be able to:
- Understand AWS infrastructure, its main services and its price philosophy
- Implement safety and compliance measures on AWS, including IAM and data encryption
- Design and implement scalable data pipes on AWS, optimizing intake, processing and storage
- Configure and manage Databases on AWS, including Amazon RDS, Dynamodb and Redshift
- Automatize ETL processes in AWS, using AWS GUE, Step Functions and Lambda
- Optimize cloud architectures, ensuring high availability and cost efficiency
- Monitor and analyze data in real time, using kinesis, athena and quicksight
- Prepare for AWS CERTIFIED CLOUD CERTIFICATIONS Practitioner and AWS Certified Data Engineering - Associate, ensuring the mastery of the issues evaluated
Prerequisites
To participate in this training, attendees must meet the following requirements:
- Basic technical knowledge in information technologies.
- Familiarity with databases and SQL language.
- Prior experience in AWS is not required, but it is recommended to have knowledge in IT infrastructure.
These requirements ensure that participants can focus on the practical application of the concepts, from the foundations to the analysis of cloud data.
What Does This Course Include?
| Our Value Proposition | Benefit for Participant or Company |
|---|---|
| Programa para certificación internacional AWS Certified Cloud Practitioner + Certified Data Engineering - Associate | 70 hours |
| • E-learning reinforcement topics and exclusive materials and simulators | • Complementary platform with digital resources, study guides, support recordings and exam simulators. |
| • Flexible educational model (in-person or live remote) | • Possibility to choose modality without losing human interaction and teaching support. |
| • Focus on employability and professional performance and exam preparation. | • Preparation oriented to certification, job performance and professional scaling based on practice, enhanced with AI support. |
| • Integration of Artificial Intelligence in learning | • Students use AI tools to reinforce understanding, practice exams and enhance their productivity. |
| • International Certification included | • Official endorsement with global recognition. Includes certification exams and access to the partner platform. |
| • Laboratories in real learning environments. | • Unlimited practical experience with real lab accounts and access to professional cloud infrastructure. |
| • Live classes with certified expert instructors. | • Guided and personalized training with direct real-time support, not offline. Recorded classes only for review. |
| • Personalized attention, small groups. | • Individual tracking, progress evaluations and technical support during training. AI-proctored performance examiner. |
| • Post-certification support and extended access to resources | • Post-assistance, access to materials for and continuous updates. |
| • Practical methodology and real and/or simulated projects. | • Applied learning from day one: simulations, business cases, projects and real cloud environments. |
| • Certificates of Approval and/or participation. | • International Certification by AWS ACADEMY MEMBER INSTITUTION
• Infinity Training Institute USA: International Certification Diploma in English • Aula Matriz IETDH Colombia - Certificate of participation |
Why choose Infinity Training Institute?
1. Internationally guaranteed certificationsAll our courses are Internationally certified:
- Infinity Training Institute USA: International Certification Diploma in English.
- International Certification from our partners Microsoft, Oracle, Certitalents, AWS, PMI, Cisco, etc.
2. We are not an automatic platform, nor self-study through videos
We are a unique model, in-person or Remote modality (with live instructor). Technology + pedagogy + AI + expert instructors + real practice — not self-study or outdated content.
3. Training designed for today's job market
Experience applicable immediately in interviews, technical tests and real work environments.
4. Real or simulated projects with international standards
Students access real environments such as Azure, AWS, Google Cloud, Oracle Cloud, develop real or simulated projects, building a demonstrable technical portfolio depending on the type of course or certification they have chosen.
5. A unique combination in Latin America and the USA
Certification + real practice + AI + continuous support + dual diploma.
6. Proven results
More than 95% of our graduates obtain official certification and improve professionally in less than six months.
7. Competency level guarantee
If the student during the practical training process does not reach a minimum performance level of 75%, they must repeat the course if the instructor determines so, and the student has shown the commitment and minimum class attendance required by the model.
Your professional future starts here
At Infinity Training Institute we boost your growth with an innovative, flexible model focused on real learning and performance evaluation. Certified instructors, intensive practice, integrated AI and constant support: world-class training.
Learning Methodology
At Infinity Training Institute, we apply a comprehensive, ever-evolving methodology centered on practical learning, powered by Artificial Intelligence, enabling personalized instruction, performance assessment, and optimized preparation for international certifications with certified instructors, real labs, simulators, and e-learning platforms. Participants learn by doing, developing technical and professional skills in small groups, with personalized follow-up and pre and post-certification support. Infinity Training Institute: Learn. Apply. Get Certified. Transcend.