AWS Data Engineer + AI Practitioner + Cloud Practitioner Triple Certification Course

Become an Amazon Web Services (AWS) Certified Data Scientist

This course, developed by CerTI+ certified professors who have already passed the exams, will prepare and train you to take the AWS Certified Data Engineer - Associate (DEA-C01), AWS AI Practitioner (AIF-C01), and AWS Certified Cloud Practitioner (CLF-C02) exams.

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Requirements

• Knowledge of cloud computing concepts and fundamentals, storage, and networking services.
• Experience and knowledge in data analysis, ETL processes, databases, data streaming, data visualization, and distributed computing. This includes techniques and tools for Big Data Analytics projects such as Hadoop, PowerBI, Tableau, Kafka, Hue, Pig, Hive, MapReduce, Airflow, Snowflake, Spark, among others.

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Target Audience

This course is aimed at Statisticians, Researchers, Data Analysts, Data Architects, Programmers and Data Engineers, Data Scientists, Database Administrators, and other IT professionals. It is also for individuals planning to take the "AWS Certified Data Engineer - Associate (DEA-C01), AWS AI Practitioner (AIF-C01), and AWS Certified Cloud Practitioner (CLF-C02)" exams.

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Class Schedule

• Start Date: Monday, July 28th
• Modality: Monday, Wednesday, and Friday
• Duration: 20 online classes (60 hours total)
• Time: 7:00 PM - 10:00 PM (GMT-5)

Investment

• Includes the voucher for the AWS Cloud Practitioner certification exam.

$1,420 USD

Exchange rate (Peru): S/3.7

Course Benefits

• Record Time: 100% practical classes in Spanish. [Live sessions]
• 24/7 Access: Unlimited free access to the AWS Management Console. [Always available]
• 60 Hours of Live Classes: [Certificate at home]
• 36 Practical Labs: [Practicing certificate]
• 70 Services Covered: [Practicing certificate]
• Access to over 985 questions: [Practicing certificate]
• Certified Instructors: [Highly qualified]
• Guaranteed Quality & Methodology: [Proven methodology]
• Library of +200 Practical AWS Labs:
• All Virtual Classroom Class Videos: [Available 100% digitally, downloadable]
• 3 Certifications in 1: Master AWS in less than 3 months. [Learn over 70 services]

Visual Description: Page 4 displays various AWS service icons and benefit summaries in a grid layout, highlighting features like 'Tiempo Record', 'Acceso Gratuito ilimitado a la Consola de AWS', '60 Horas de Clases en Vivo', 'Laboratorios Prácticos', 'Servicios', 'Preguntas', 'Instructores Certificados', 'Calidad Garantizada', '+200 Laboratorios Prácticos', and 'Videos de Clases en Aula Virtual'.

Our Commitment and Guarantee

The vast majority of our students pass their certification exams on the first attempt. However, if you don't do well on the exam, you can retake the course partially or totally at no additional cost. We will try again until you succeed!

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Why Take the Course?

The course is designed to teach engineers, architects, and data scientists how to optimize AWS usage by understanding the most relevant services and how they adapt to cloud-based data engineering and analytics solutions.

Because data engineering and analytics solutions can differ by industry, application type, and company size, this course emphasizes AWS architecture best practices and recommended design patterns to help students think through the process of designing optimal data engineering and analytics solutions on AWS.

It also presents case studies throughout the course showing how some AWS clients have designed their data architectures, along with the strategies and services they implemented. Opportunities are also provided to build a variety of data engineering and analytics solutions through a guided, practical approach.

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Curriculum Development

We will study and complete all topics requested for the certification exams.

1. Introduction to AWS and Core Services (IAM, EC2, EBS, S3, VPC)
2. Virtual Private Cloud (VPC), Elastic Compute Cloud (EC2), Elastic Block Store (EBS)
3. Identity Access Management (IAM), Simple Storage Service (S3)
4. Elastic File System (EFS), Relational Database Service (RDS), ElastiCache
5. Elastic Load Balancer, AutoScaling, Certificate Manager, CloudTrail, CloudWatch, Lambda, Cloud Formation
6. Security, Compliance, and Cost Management Services
7. Fundamentals of Artificial Intelligence and Machine Learning using SageMaker, Amazon SageMaker Data Wrangler, Amazon SageMaker Feature Store, Amazon SageMaker Model Monitor
8. Fundamentals of Generative Artificial Intelligence using Amazon SageMaker JumpStart; Amazon Bedrock, PartyRock, Amazon Bedrock Playground, Amazon Q
9. Services for building applications using Generative AI Foundational Models with Amazon Bedrock
10. Security, compliance, and administration services for building Artificial Intelligence solutions using SageMaker Model Cards
11. Guidelines for responsible use of Artificial Intelligence
12. NoSQL Database Services (DynamoDB), Event Buses (Event Bridge), Notifications (SNS) and S3 Events with Lambda
13. Services for building ETL with PySpark using Glue Data Catalog, Glue DataBrew, Glue Jobs, and Glue Scheduler
14. Services for building ETL with Hadoop using Elastic Map Reduce and Managed Workflow with Apache Airflow
15. Services for building ETL with StepFunctions, Lambda, and Serverless Application Model (SAM)
16. General Services for Data Ingestion, Processing, Loading, Storage, and Visualization in Real Time, Near Real Time, and Batch.
17. Simulation of the official AWS Cloud Practitioner certification exam
18. Simulation of the official AWS AI Practitioner certification exam
19. Simulation of the official AWS Data Engineer Associate certification exam

Certified Instructors in AWS

Course Methodology

• Courses will be 100% practical with ongoing support.
• Topics will be explained from a basic level to understand concepts and architectures.
• Classes are strictly practical with simulators of real AWS certification exams.
• Professors are dedicated to working 100% with Cloud technologies (AWS).
• Permanent advisory from the staff of professors.

Enrollment and Payments

• Request a payment link via credit card (VISA, MasterCard) by email or WhatsApp.
• Deposit / Transfer to Certimas EIRL
  • Ruc: 20606181753
  • Current Account BCP Soles No: 194-2687003-0-43
  • Current Account CCI BCP Soles No: 00219400268700304399
• Send proof of payment to cobranzas@certimas.com indicating student details (Subject, full name, DNI, mobile number).
• We will confirm your enrollment shortly by the same means or by phone.

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Contact

For more information, write to us at:

• Email: cursos@certimas.com
• Phone: +18139924651
• Website: certimas.com