AI Skills Tailored to Engineers: Data Engineering and Data Pipelines
Acquire the fundamental skills of data management, extraction, querying, and visualization to power your AI initiatives.
machine learning,data engineering,relational databases,data management,artificial intelligence,python,pandas,sql,jupyter,management,algorithms,applications of artificial intelligence,medical practices and procedures,ai & machine learning
Description for AI Skills Tailored to Engineers: Data Engineering and Data Pipelines
Importance of Data Management: Describes the reasons why AI applications rely on effective data management.
Data Requirements for AI: Provides a comprehensive list of the data types that are necessary for AI applications.
Data Extraction and Querying: Demonstrates the process of extracting and querying data from databases using SQL.
Data Visualization: Demonstrates the utilization of the Seaborn library to enhance the understanding of data.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 12
Offered by: On edX provided by DelftX
Duration: 5�7 hours per week approx 6 weeks
Schedule: Flexible
Pricing for AI Skills Tailored to Engineers: Data Engineering and Data Pipelines
Use Cases for AI Skills Tailored to Engineers: Data Engineering and Data Pipelines
FAQs for AI Skills Tailored to Engineers: Data Engineering and Data Pipelines
Reviews for AI Skills Tailored to Engineers: Data Engineering and Data Pipelines
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Featured Tools
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Developing a Strategic Advantage through the Mastery of Generative AI. Leverage the transformative potential of Generative AI to empower your leadership suite.
This course will provide you with an understanding of the technical underpinnings and essential terminology associated with generative artificial intelligence (AI).
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.