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Intel
The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud. The Cloud Networking course covers network concepts, topology, types of devices and data center functions, with an introduction to key Intel® networking products and...
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The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud. The Cloud Networking course covers network concepts, topology, types of devices and data center functions, with an introduction to key Intel® networking products and...
Read more
The Data Platform course aims to establish a strong foundation, and working knowledge of the fundamentals of data, including data mechanics, databases, and other foundational elements of data processing. This course will drill into the specific data management elements including relational taxonomy of data, data lifecycle and fundamentals databases and data processing and analysis. The course also covers the relevance of IA with respect to data in the cloud. The Cloud Networking course covers network concepts, topology, types of devices and data center functions, with an introduction to key Intel® networking products and features. The AI in the Cloud module will improve the learner's ability to guide customers toward Intel Artificial Intelligence-based instances and services from the major cloud service providers, including Azure, AWS, and GCP. It will describe cloud AI trends and summarize the AI-as-a-Service offerings from the primary CSPs. Also covered will be a focus on specific benefits customers get from using Intel architecture in AI environments, including multiple end-user success stories using Intel-based instances.
Register for this course and see more details by visiting:
OpenCourser.com/course/f164lc/data
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a strong foundation in data fundamentals, including data mechanics, databases, and data processing
Covers the relevance of AI with respect to data in the cloud
Helps learners guide customers toward Intel AI-based instances and services from major cloud service providers
Focuses on the benefits of using Intel architecture in AI environments
Taught by Intel, a well-established company in the tech industry
Assumes learners have a basic understanding of data and technology
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Data Platform, Cloud Networking and AI in the Cloud with these
activities:
Review basic principles of relational databases
Show steps
Strengthen your foundation in data management by revisiting essential concepts pertaining to relational databases.
Browse courses on
Relational Databases
Show steps
-
Refer to textbooks, online resources, or previous course materials.
-
Review topics such as data modeling, table structures, and query optimization.
-
Solve practice problems or exercises to test your understanding.
Dive into the fundamentals of data processing
Show steps
Establish a solid foundation in data concepts to enhance your understanding of the course materials.
Browse courses on
Databases
Show steps
-
Browse video tutorials on data mechanics.
-
Explore tutorials on database management systems.
-
Watch videos on data processing techniques.
Practice SQL queries on sample datasets
Show steps
Reinforce your understanding of SQL syntax and data manipulation techniques.
Show steps
-
Find sample datasets on Kaggle or other platforms.
-
Write SQL queries to retrieve, filter, and aggregate data.
-
Validate your results and identify any errors in your queries.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow tutorials on cloud networking concepts
Show steps
Supplement your classroom learning with hands-on practice and explore different aspects of cloud networking.
Browse courses on
Cloud Networking
Show steps
-
Identify reputable online resources or platforms offering cloud networking tutorials.
-
Select tutorials that align with your course syllabus and knowledge level.
-
Follow the tutorials step-by-step, taking notes and experimenting with different configurations.
Practice data management problems
Show steps
Reinforce your understanding of data management concepts through practical exercises.
Browse courses on
Data Management
Show steps
-
Solve problems on data modeling and database design.
-
Practice managing data using SQL queries.
-
Work on data analysis and interpretation exercises.
Form study groups with classmates
Show steps
Collaborate with peers to review course material, discuss concepts, and solve problems together.
Show steps
-
Identify classmates with similar interests or learning styles.
-
Schedule regular study sessions to discuss course topics and assignments.
-
Take turns explaining concepts and leading discussions.
Design and implement a cloud-based data processing pipeline
Show steps
Apply your knowledge of data management and cloud technologies to solve a real-world problem.
Browse courses on
Data Processing
Show steps
-
Identify a suitable dataset and problem statement.
-
Design the data processing pipeline, including data ingestion, transformation, and analysis.
-
Implement the pipeline using cloud-based services like AWS, Azure, or GCP.
-
Test and validate the pipeline's performance and accuracy.
Develop a data processing diagram
Show steps
Solidify your grasp of data processing by creating a visual representation of a data processing pipeline.
Browse courses on
Data Processing
Show steps
-
Identify the data sources and their formats.
-
Design a data processing workflow using a flowchart or diagram.
-
Include data cleaning, transformation, and analysis steps.
Attend industry conferences or webinars on data management
Show steps
Connect with industry professionals, gain insights into real-world applications, and stay up-to-date on the latest trends.
Browse courses on
Data Management
Show steps
-
Identify relevant industry events or webinars.
-
Register and attend the events.
-
Engage with speakers, attendees, and potential mentors.
-
Follow up with connections made at the event.
Organize and review course notes, assignments, and materials
Show steps
Enhance your understanding of course content by systematically reviewing and organizing your learning materials.
Show steps
-
Gather all course notes, assignments, and additional materials.
-
Create a logical structure for organizing the materials.
-
Review the materials regularly, taking notes and highlighting key concepts.
Review basic principles of relational databases
Show steps
Strengthen your foundation in data management by revisiting essential concepts pertaining to relational databases.
Browse courses on
Relational Databases
Show steps
Show steps
Show steps
- Refer to textbooks, online resources, or previous course materials.
- Review topics such as data modeling, table structures, and query optimization.
- Solve practice problems or exercises to test your understanding.
Dive into the fundamentals of data processing
Show steps
Establish a solid foundation in data concepts to enhance your understanding of the course materials.
Browse courses on
Databases
Show steps
Show steps
Show steps
- Browse video tutorials on data mechanics.
- Explore tutorials on database management systems.
- Watch videos on data processing techniques.
Practice SQL queries on sample datasets
Show steps
Reinforce your understanding of SQL syntax and data manipulation techniques.
Show steps
Show steps
Show steps
- Find sample datasets on Kaggle or other platforms.
- Write SQL queries to retrieve, filter, and aggregate data.
- Validate your results and identify any errors in your queries.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow tutorials on cloud networking concepts
Show steps
Supplement your classroom learning with hands-on practice and explore different aspects of cloud networking.
Browse courses on
Cloud Networking
Show steps
Show steps
Show steps
- Identify reputable online resources or platforms offering cloud networking tutorials.
- Select tutorials that align with your course syllabus and knowledge level.
- Follow the tutorials step-by-step, taking notes and experimenting with different configurations.
Practice data management problems
Show steps
Reinforce your understanding of data management concepts through practical exercises.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Solve problems on data modeling and database design.
- Practice managing data using SQL queries.
- Work on data analysis and interpretation exercises.
Form study groups with classmates
Show steps
Collaborate with peers to review course material, discuss concepts, and solve problems together.
Show steps
Show steps
Show steps
- Identify classmates with similar interests or learning styles.
- Schedule regular study sessions to discuss course topics and assignments.
- Take turns explaining concepts and leading discussions.
Design and implement a cloud-based data processing pipeline
Show steps
Apply your knowledge of data management and cloud technologies to solve a real-world problem.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Identify a suitable dataset and problem statement.
- Design the data processing pipeline, including data ingestion, transformation, and analysis.
- Implement the pipeline using cloud-based services like AWS, Azure, or GCP.
- Test and validate the pipeline's performance and accuracy.
Develop a data processing diagram
Show steps
Solidify your grasp of data processing by creating a visual representation of a data processing pipeline.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Identify the data sources and their formats.
- Design a data processing workflow using a flowchart or diagram.
- Include data cleaning, transformation, and analysis steps.
Attend industry conferences or webinars on data management
Show steps
Connect with industry professionals, gain insights into real-world applications, and stay up-to-date on the latest trends.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Identify relevant industry events or webinars.
- Register and attend the events.
- Engage with speakers, attendees, and potential mentors.
- Follow up with connections made at the event.
Organize and review course notes, assignments, and materials
Show steps
Enhance your understanding of course content by systematically reviewing and organizing your learning materials.
Show steps
Show steps
Show steps
- Gather all course notes, assignments, and additional materials.
- Create a logical structure for organizing the materials.
- Review the materials regularly, taking notes and highlighting key concepts.
Career center
Learners who complete Data Platform, Cloud Networking and AI in the Cloud will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of data analysis, machine learning, and statistics to solve complex business problems. This course in Data Platform, Cloud Networking and AI in the Cloud provides a foundation in data mechanics, databases, and data processing that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is a key area of focus for Data Scientists.
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain AI systems. This course in Data Platform, Cloud Networking and AI in the Cloud provides a foundation in AI fundamentals and cloud computing that is essential for success in this role. The course also covers specific benefits customers get from using Intel architecture in AI environments, which is a key area of focus for AI Engineers.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases to ensure that data is accurate, secure, and accessible. This course in Data Platform, Cloud Networking and AI in the Cloud provides a strong foundation in databases and data processing that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is increasingly important for Database Administrators to understand.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. This course in Data Platform, Cloud Networking and AI in the Cloud provides a strong foundation in cloud computing concepts and technologies that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is a key area of focus for Cloud Architects.
Data Architect
Data Architect
Data Architects design and implement data management solutions. This course in Data Platform, Cloud Networking and AI in the Cloud provides a strong foundation in data management principles and technologies that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is a growing area of focus for Data Architects.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure to support data-driven decision-making. This course in Data Platform, Cloud Networking and AI in the Cloud provides a strong foundation in data mechanics, databases, and data processing that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is a growing area of focus for Data Engineers.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. This course in Data Platform, Cloud Networking and AI in the Cloud provides a strong foundation in network concepts, topology, and data center functions that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is a growing area of focus for Network Engineers.
Data Analyst
Data Analyst
A Data Analyst specializes in examining large datasets to uncover trends and patterns that can help businesses make better decisions. This course in Data Platform, Cloud Networking and AI in the Cloud provides a solid foundation in data mechanics, databases, and data processing that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is increasingly important for Data Analysts to understand.
DevOps Engineer
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams to ensure that software is delivered quickly and reliably. This course in Data Platform, Cloud Networking and AI in the Cloud provides a foundation in cloud computing concepts and technologies that is essential for success in this role. The course also covers the relevance of AI with respect to data in the cloud, which is a growing area of focus for DevOps Engineers.
Data Visualization Engineer
Data Visualization Engineer
Data Visualization Engineers are responsible for designing and developing data visualizations that communicate data insights effectively. This course in Data Platform, Cloud Networking and AI in the Cloud may be useful for Data Visualization Engineers who want to gain a better understanding of the technical aspects of data management, cloud computing, and AI. The course covers the fundamentals of data mechanics, databases, data processing, and cloud networking, which can be helpful for Data Visualization Engineers who need to use these technologies to create effective data visualizations.
Software Developer
Software Developer
Software Developers are responsible for designing, developing, and maintaining software applications. This course in Data Platform, Cloud Networking and AI in the Cloud may be useful for Software Developers who want to gain a better understanding of the technical aspects of data management, cloud computing, and AI. The course covers the fundamentals of data mechanics, databases, data processing, and cloud networking, which can be helpful for Software Developers who need to use these technologies in their applications.
Systems Analyst
Systems Analyst
Systems Analysts are responsible for analyzing, designing, and implementing computer systems. This course in Data Platform, Cloud Networking and AI in the Cloud may be useful for Systems Analysts who want to gain a better understanding of the technical aspects of data management, cloud computing, and AI. The course covers the fundamentals of data mechanics, databases, data processing, and cloud networking, which can be helpful for Systems Analysts who need to make decisions about how to use these technologies to design and implement computer systems.
Cloud Security Engineer
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud computing environments. This course in Data Platform, Cloud Networking and AI in the Cloud may be useful for Cloud Security Engineers who want to gain a better understanding of the technical aspects of data management, cloud computing, and AI. The course covers the fundamentals of data mechanics, databases, data processing, and cloud networking, which can be helpful for Cloud Security Engineers who need to make decisions about how to secure cloud computing environments.
Product Manager
Product Manager
Product Managers are responsible for defining and managing the roadmap for a product. This course in Data Platform, Cloud Networking and AI in the Cloud may be useful for Product Managers who want to gain a better understanding of the technical aspects of data management, cloud computing, and AI. The course covers the fundamentals of data mechanics, databases, data processing, and cloud networking, which can be helpful for Product Managers who need to make decisions about how to use these technologies in their products.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business needs and developing solutions to improve efficiency and effectiveness. This course in Data Platform, Cloud Networking and AI in the Cloud may be useful for Business Analysts who want to gain a better understanding of the technical aspects of data management, cloud computing, and AI. The course covers the fundamentals of data mechanics, databases, data processing, and cloud networking, which can be helpful for Business Analysts who need to make decisions about how to use these technologies to improve business processes.
For more career information including salaries, visit:
OpenCourser.com/course/f164lc/data
Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Platform, Cloud Networking and AI in the Cloud.
This classic textbook provides a comprehensive overview of data management concepts, including data models, database design, and data processing.
This textbook well-regarded reference for database management systems.
This classic textbook comprehensive overview of artificial intelligence.
Save
This textbook provides a comprehensive overview of machine learning techniques for data analytics.
This classic book comprehensive reference for TCP/IP protocols.
This widely-used textbook provides a thorough introduction to network concepts and technologies, including network protocols, routing, and security.
This widely-used textbook provides a top-down approach to computer networking, covering all the major topics in the field.
Comprehensive overview of networking fundamentals.
Provides a non-technical overview of artificial intelligence.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/f164lc/data
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Time
16 hours
Via
Coursera
Institution
Intel
Instructor
Intel
This course belongs to a
collection
called
Intel Cloud Fundamentals. It's comprised of three courses:
- Cloud Essentials & Usage
- Cloud Technologies & Services
- Data Platform, Cloud Networking and AI in the Cloud (viewing)
Good to know
Provides a strong foundation in data fundamentals, including data mechanics, databases, and data processing
Covers the relevance of AI with respect to data in the cloud
Helps learners guide customers toward Intel AI-based instances and services from major cloud service providers
Focuses on the benefits of using Intel architecture in AI environments
Taught by Intel, a well-established company in the tech industry
Assumes learners have a basic understanding of data and technology
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