AI-Based Data Engineering

AI-Based Data Engineering Course

The AI-Based Data Engineering course offers a comprehensive exploration of the intersection between data engineering and artificial intelligence. Over 40 hours, participants will delve into various modules covering essential topics such as data ingestion, cleaning, transformation, and real-time processing. This course is designed to equip individuals with the skills and knowledge needed to thrive in the rapidly evolving field of AI-driven data engineering.

  • Course Mode: Online
  • Course Duration: Flexible

Course Highlights

Fundamentals

Gain insights into the fundamentals of data engineering and AI.

Integration

Learn techniques for data ingestion and intergration with AI systems

Data Cleaning

Master the art of data cleaning and preparation for machine learning applications.

Data Transformation

Explore advanced topics such as data transformation, feature engineering and meta data management.

Analytics

Get insights into augmented analytics and future trends shaping the field of data engineering.

Data Lineage

Understand the importance of data lineage, governance and real time processing.

Performance Optimization

Discover strategies for performance optimization and predicitive maintenance in AI based systems.

Skills You'll Gain

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Proficiency in data engineering principles and practices

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Ability to implement data ingestion and integration solutions

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Expertise in data cleaning, preparation, and transformation techniques

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Understanding of metadata management, data governance, and lineage

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Skills in real-time data processing and performance optimization

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Knowledge of predictive maintenance and augmented analytics