Data Platform, Cloud Networking and AI in the Cloud from Coursera

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 IntelÂ® 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.

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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

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

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Strengthen your foundation in data management by revisiting essential concepts pertaining to relational databases.

Browse courses on Relational Databases

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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

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Establish a solid foundation in data concepts to enhance your understanding of the course materials.

Browse courses on Databases

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Browse video tutorials on data mechanics.
Explore tutorials on database management systems.
Watch videos on data processing techniques.

Practice SQL queries on sample datasets

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Reinforce your understanding of SQL syntax and data manipulation techniques.

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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.

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Follow tutorials on cloud networking concepts

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Supplement your classroom learning with hands-on practice and explore different aspects of cloud networking.

Browse courses on Cloud Networking

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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

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Reinforce your understanding of data management concepts through practical exercises.

Browse courses on Data Management

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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

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Collaborate with peers to review course material, discuss concepts, and solve problems together.

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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

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Apply your knowledge of data management and cloud technologies to solve a real-world problem.

Browse courses on Data Processing

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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

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Solidify your grasp of data processing by creating a visual representation of a data processing pipeline.

Browse courses on Data Processing

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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

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Connect with industry professionals, gain insights into real-world applications, and stay up-to-date on the latest trends.

Browse courses on Data Management

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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

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Enhance your understanding of course content by systematically reviewing and organizing your learning materials.

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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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for AI Engineer

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Cloud 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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Network Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for DevOps 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.

See salaries and explore the career path for Data Visualization Engineer

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.

See salaries and explore the career path for Software Developer

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.

See salaries and explore the career path for Systems Analyst

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.

See salaries and explore the career path for Cloud Security Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Business Analyst

Data Platform, Cloud Networking and AI in the Cloud

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