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Data Engineering With AI
Price
KSh88,000.00 KSh60,000.00
Get unlimited access to all learning content and premium assets Membership Pro
Description
Course Description
Data Engineering with AI equips learners with the skills to design and manage scalable data systems while integrating AI for automation and intelligence.
You will learn to build ETL pipelines, manage data warehouses, prepare data for AI/ML models, implement real-time and batch processing, and apply MLOps for deploying AI solutions. Training covers Python, SQL, Apache Spark, Airflow, and cloud platforms like AWS, Azure, and GCP through hands-on projects.
By the end of the course, you will be able to:
Build and optimize pipelines for structured and unstructured data.
Automate workflows with AI tools.
Prepare and manage data for AI/ML.
Implement streaming and batch processing.
Deploy AI models using MLOps practices.
This program prepares you to excel in AI-driven data engineering roles.
Features
- Career-ready skills in just 6 months
- Hands-on project portfolio
- Access to mentorship and peer groups
- Certificate & job support
Target Audiences
- University graduates seeking practical, job-ready skills
- Working professionals looking to upskill or change careers
- Entrepreneurs needing data literacy for their ventures
- Anyone passionate about entering the data industry
Requirements
- Academic Background:Applicants must have finished highschool or graduated froma recognizedinstitution.
- Foundational Knowledge: Basic understanding of mathematics and computer usage is encouraged
- Open to All Backgrounds: No prior experience in tech or data is required; however, motivationandcommitment are essential.
- Additional Review: Applicants from non-technical fields may be invited for a short interviewor askedtosubmit a brief personal statement explaining their interest in the program.
Curriculum
- 9 Sections
- 0 Lessons
- 25 Weeks
Expand all sectionsCollapse all sections
- 1. Introduction to Data Engineering:Understand how data flows in an organization and where engineers fit in. We’ll introduce you to the essential tools, workflows, and how to think like a data engineer.0
- 2. Data Modeling & Storage Systems:Learn to structure data for analytics and performance. We cover relational vs non-relational databases, schemadesigns, and best practices using tools like SQL Server and MongoDB.0
- 3. Data Integration (ETL/ELT)Learn how to move and transform data efficiently using modern tools like Apache NiFi, dbt, and Airflow both in batch and real-time settings.0
- 4. Programming for Data Engineering:Master Python for building pipelines, APIs, and automation. We’ll also explore shell scripting and the basics of PySpark for handling large data.0
- 5. Cloud Data Platforms:Dive into tools used in the cloud such as Azure Data Factory, AWS Glue, and BigQuery. You’ll gain practical experience deploying cloud-native pipelines.0
- 6. Streaming & Real-Time Data:We’ll show you how to maintain clean, trusted data using testing tools and governance frameworks that matter in regulated environments.0
- 8. CI/CD & DevOps for Data Pipelines:Get comfortable with Git, Jenkins, and DataOps workflows. Learn how to automate deployments and maintain version control for your data work.0
- 9. Data Security & Compliance:In today’s world, security is non-negotiable. Learn how to protect sensitive data and comply with regulations like GDPR and HIPAA.0
- 10. Capstone Project:Bring it all together by building a fully operational, cloud-native pipeline that handles real data and solves a business problem. You’ll present your work to peers and instructors.0
FAQs
At DataSeal, we offer flexible, high-impact learning designed for busy individuals, allowing you to study at your own pace without compromising quality. Our industry-relevant curriculum, crafted by professionals, keeps you aligned with current data trends and demands, while our mentorship programs, group projects, and active community ensure you’re supported every step of the way. We focus on career readiness through practical assignments, real-world projects, and portfolio building, complemented by certification and ongoing job support, including CV reviews, interview preparation, and access to exclusive opportunities. With a proven track record, our alumni have secured roles in data analytics, engineering, science, and governance across leading local and global firms.
Instructor
2649 Students13 Courses
Reviews
Price
KSh88,000.00 KSh60,000.00
Get unlimited access to all learning content and premium assets Membership Pro
Featured Review
"Enrolling at DataSeal was the best career decision I’ve made. The flexible schedule let me balance work and study, and the curriculum was exactly what the industry demands—practical, up-to-date, and taught by experts. The mentorship and community support kept me motivated, while the real-world projects built a portfolio that impressed employers. With their career guidance and interview prep, I landed a role in data analytics within weeks of graduating. If you’re serious about advancing in the data field, DataSeal is the place to be."
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