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AWS Certified Data Engineer Associate Training

Course Information

  • Sessions 3 days
  • Duration 30 hrs
  • Level Intermediate
  • Assessment NA

Venue

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Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • External Certification - The participant will be able to attempt the AWS Certified Data Engineer Associate exam after attending this course. Upon passing the exam, you will receive the AWS Certified Data Engineer Associate accreditation. This certification validates that the individual possesses the skills and knowledge necessary to design and deploy scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. It demonstrates proficiency in various aspects of AWS architecture, including designing and deploying applications on AWS, selecting appropriate AWS services based on requirements, designing highly available and scalable systems, and implementing cost-effective solutions.

AWS Certified Data Engineer Associate Training

Course Code: C1331

7 Review(s) | Add Your Review

What's This Course About

This AWS Certified Data Engineer Associate Exam Prep course is designed to provide in-depth knowledge and hands-on experience in managing data solutions on the AWS platform. The course covers critical concepts such as data storage, data processing, and data visualization using AWS services like Redshift, S3, Kinesis, and more. Participants will learn to design and implement data solutions that optimize performance, scalability, and cost-efficiency.

Throughout the course, you will engage with real-world scenarios and practical exercises that will prepare you for the AWS Certified Data Engineer Associate exam. Gain the skills needed to deploy and maintain AWS data infrastructure, perform data migrations, and build data pipelines. This course is ideal for IT professionals, data analysts, and developers looking to advance their careers in cloud data engineering.

WSQ Funding

Full Fee ₵4,000.00 Before GST
GST ₵360.00 9% of fee
Baseline Nett ₵2,360.00 SG/PR age 21+ · 50% funded
MCES / SME Nett ₵1,560.00 SG age 40+ · 70% funded

Course Fee

₵4,000.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to info@tertiarycourses.com.gh and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Data Ingestion and Processing

  • Stream and batch data ingestion.
  • Implement data replayability and stateful/stateless data transactions.
  • Set up schedulers and event triggers.
  • Manage fan-in and fan-out for streaming data.
  • Create and manage ETL pipelines.
  • Transform and process data using various AWS services (e.g., AWS Glue, Lambda).
  • Optimize data pipelines for cost, performance, scalability, and availability.
  • Orchestrate data pipelines using orchestration services (e.g., AWS Step Functions).
  • Apply programming concepts such as CI/CD, SQL queries, and Infrastructure as Code (IaC).

Topic 2: Data Store Management

  • Choose and configure appropriate data storage solutions.
  • Implement data cataloging systems.
  • Manage the data lifecycle, including data retention and archiving.
  • Design data models and handle schema evolution.

Topic 3: Data Operations and Support

  • Automate data processing using AWS services.
  • Analyze data using AWS services and tools.
  • Maintain and monitor data pipelines.
  • Ensure data quality through validation, profiling, and quality checks.

Topic 4: Data Security and Governance

  • Apply authentication and authorization mechanisms.
  • Ensure data encryption and masking.
  • Prepare logs for audit.
  • Understand and implement data privacy and governance practices.

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

  • Able to operate using computer functions
  • Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

  • Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • AWS Data Engineer
  • Cloud Solutions Architect
  • Data Analytics Specialist
  • Data Integration Engineer
  • Cloud Data Architect
  • Machine Learning Engineer
  • Big Data Engineer
  • Data Scientist
  • Cloud Data Operations Manager
  • Database Administrator (Cloud)
  • ETL Developer
  • Data Migration Specialist
  • Data Warehouse Specialist
  • Cloud Security Analyst
  • Systems Integration Specialist
  • DevOps Engineer (Data Focus)
  • AWS Certified Solutions Architect
  • Data Governance Analyst
  • Cloud Infrastructure Manager
  • Cloud Platform Engineer

Trainers

Trainers

is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies

Review

Customer Reviews (7)

Very satisfied Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer is an expert in the subject and shared many practical insights from real projects. (Posted on 5/4/2024)
Good course materials Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 2/7/2024)

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