H2O Cloud AI Developer Services from Coursera

Elevate your AI development skills with H2O Cloud AI Developer Services! This comprehensive program is designed to provide you with an in-depth understanding of H2O ai's cloud-based AI services, tailored for developers, data engineers, and AI practitioners like you.

Led by H2O ai makers Audrey Létévé, Senior Customer Data Scientist, and Jon Farland, Director of Solutions Engineering, this course offers invaluable insights from real-world AI implementations.

Why H2O Cloud AI?

Tabular Services: Imagine effortlessly scaling your machine learning models on tabular data. We'll explore AutoML, seamless data connectivity, and advanced features that empower you to tackle real-world projects with confidence.

Language Services: Customizing and deploying NLP solutions has never been easier. From Hydrogen Torch to sophisticated language models, we'll equip you with the tools to conquer enterprise use cases.

Vision Services: Dive into the world of computer vision. Learn data labeling with Label Genie, harness document AI capabilities, and build robust vision models using Hydrogen Torch.

AI Assistants Services: Streamline your workflow with intelligent code suggestions and automations. Say goodbye to mundane tasks—our AI assistants have your back.

By the end, you will be able to create, automate, monitor, and share AI solutions using the H2O Cloud AI platform, optimizing your business use cases across different data types and domains. This course will prepare you to lead in the fields of AI and data science with confidence.

What's inside

Syllabus

Introduction

Tabular Services

Language Services

Course Completion Quiz

Vision Services

AI Code Assistants

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on experience with H2O Cloud AI, which is valuable for professionals looking to implement and scale AI solutions in real-world scenarios

Covers tabular, language, and vision services, which are essential for building comprehensive AI solutions across various data types and domains

Led by H2O.ai experts, which offers insights from experienced practitioners in the field of AI and machine learning

Focuses on practical applications like AutoML, data connectivity, NLP customization, and computer vision, which are highly relevant to industry use cases

Features AI code assistants, which can streamline workflows and automate mundane tasks, potentially increasing productivity for developers

Presented by H2O.ai, which is known for its open-source machine learning platform and contributions to the field of artificial intelligence

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 H2O Cloud AI Developer Services with these activities:

Review Machine Learning Fundamentals

Show steps

Reinforce your understanding of core machine learning concepts to better grasp the advanced AI services offered by H2O Cloud.

Browse courses on Machine Learning

Show steps

Review key ML algorithms like linear regression, decision trees, and support vector machines.
Practice evaluating model performance using metrics like accuracy, precision, and recall.
Familiarize yourself with data preprocessing techniques such as normalization and handling missing values.

Read 'Natural Language Processing with Python'

Show steps

Enhance your knowledge of NLP techniques to effectively utilize H2O Cloud's Language Services.

View Natural Language Processing with Python:... on Amazon

Show steps

Read the chapters relevant to text processing, sentiment analysis, and language modeling.
Experiment with the code examples provided in the book.
Relate the concepts learned to the features offered by H2O Cloud's Language Services.

Read 'Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow'

Show steps

Gain a deeper understanding of machine learning algorithms and techniques to effectively utilize H2O Cloud's AI services.

View Hands-On Machine Learning with Scikit-Learn,... on Amazon

Show steps

Read the chapters relevant to tabular data and model building.
Experiment with the code examples provided in the book.
Relate the concepts learned to the features offered by H2O Cloud.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Follow H2O.ai Tutorials on YouTube

Show steps

Learn practical applications of H2O Cloud AI services by following tutorials created by H2O.ai experts.

Show steps

Search for tutorials specifically related to Tabular Services, Language Services, and Vision Services.
Follow along with the tutorials, replicating the steps demonstrated.
Experiment with different parameters and datasets to deepen your understanding.

Build a Predictive Model with H2O AutoML

Show steps

Apply your knowledge of H2O Cloud's Tabular Services by building a predictive model using AutoML.

Show steps

Choose a relevant dataset from Kaggle or another public source.
Upload the dataset to H2O Cloud and explore its features.
Use AutoML to train a predictive model.
Evaluate the model's performance and iterate on the process.

Write a Blog Post on H2O Cloud AI

Show steps

Solidify your understanding of H2O Cloud AI by writing a blog post explaining its features and benefits.

Show steps

Choose a specific aspect of H2O Cloud AI to focus on, such as Tabular Services or Language Services.
Research the chosen topic and gather relevant information.
Write a clear and concise blog post explaining the topic to a technical audience.
Publish the blog post on a platform like Medium or your personal website.

Create a Presentation on H2O Cloud AI

Show steps

Develop a presentation showcasing the capabilities of H2O Cloud AI to potential users or stakeholders.

Show steps

Identify the target audience for the presentation.
Choose a specific use case or application of H2O Cloud AI to highlight.
Create a visually appealing and informative presentation with clear explanations and examples.
Practice delivering the presentation to ensure a smooth and engaging experience.

Career center

Learners who complete H2O Cloud AI Developer Services will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer develops and deploys machine learning models to solve real-world problems, and this course directly aligns with that goal. The course focuses on H2O.ai's cloud-based AI services, teaching how to scale models using AutoML, connect to diverse data sources, and implement sophisticated language and computer vision solutions, which are core to the role of a machine learning engineer. The course will help you build robust solutions by exploring tabular, language, and vision services, and the integrated AI assistants, which may be useful for improving efficiency. The emphasis on real-world applications, guided by those with industry experience, ensures the course content is very relevant to the kinds of challenges a Machine Learning Engineer will face.

See salaries and explore the career path for Machine Learning Engineer

Artificial Intelligence Specialist

An Artificial Intelligence Specialist focuses on developing, implementing, and managing AI systems, which is precisely what this course prepares you to do. This course concentrates on H2O.ai's cloud-based AI services, covering tabular data processing, language model customization, computer vision applications, and intelligent code automation. For an Artificial Intelligence Specialist, a deep understanding of these tools and services will help in designing complete solutions. The course’s focus on practical implementation of AI solutions across different data types and domains, using the H2O Cloud AI platform, perfectly supports the practical skill set of an Artificial Intelligence Specialist.

See salaries and explore the career path for Artificial Intelligence Specialist

Data Scientist

A Data Scientist analyzes data, develops models, and provides insights, and this course will significantly enhance these skills with cloud-based AI tools. The course covers tabular data analysis, language model deployment, computer vision, and use of AI assistants, all critical tools for a Data Scientist. This course will help you understand how to use the H2O Cloud AI platform to create, automate, and monitor solutions. The instructors’ expertise in real-world AI projects ensures the skills you learn are directly applicable to the work of a Data Scientist.

See salaries and explore the career path for Data Scientist

AI Solutions Architect

An AI Solutions Architect designs and implements AI systems within a business, and this course helps you understand the tools for doing just that. This course provides a deep overview of H2O.ai's cloud-based AI services, including tabular data processing, language model customization, computer vision, and AI assistants. An AI Solutions Architect will need knowledge of these tools to build effective AI solutions. The course’s real-world use cases and focus on utilizing the H2O Cloud AI platform will help ensure AI Solutions Architects develop practical, effective solutions for a wide variety of business challenges.

See salaries and explore the career path for AI Solutions Architect

Data Engineer

A Data Engineer builds and maintains data infrastructure, and this course can help them deploy sophisticated AI services using that infrastructure. The course covers tabular data handling, data connectivity, customized language models, and computer vision solutions. Data Engineers will need to understand how AI systems work in order to build infrastructure that supports them, and this course may be useful to them. The course is given by leaders in the field, and focuses heavily on implementing real world AI solutions. This will give Data Engineers a deep practical understanding of the systems that they build.

See salaries and explore the career path for Data Engineer

Cloud Solutions Engineer

A Cloud Solutions Engineer designs and deploys solutions on cloud platforms, and this course provides the cloud-based AI skills for the job. The course covers the H2O.ai cloud-based AI services, including its tabular, language, vision, and AI assistant tools. A Cloud Solutions Engineer will use this knowledge to create, automate, monitor, and share AI systems on the cloud. The course's use of the H2O Cloud AI platform is valuable to Cloud Solutions Engineers who need to know how to deploy AI solutions on cloud infrastructure.

See salaries and explore the career path for Cloud Solutions Engineer

Computer Vision Engineer

A Computer Vision Engineer specializes in developing AI for visual tasks, and this course includes a detailed section on vision services useful for such a role. This course covers data labeling using Label Genie, document AI, and building vision models with Hydrogen Torch, giving a solid foundation for a Computer Vision Engineer. This course will allow you to understand and develop vision solutions using the H2O Cloud AI platform, enabling practical implementation in a variety of enterprise use cases. This is valuable because of the emphasis on real world experience.

See salaries and explore the career path for Computer Vision Engineer

Natural Language Processing Engineer

A Natural Language Processing Engineer develops AI solutions for language-based tasks, and this course offers important training in using relevant language services. This course explores customizing and deploying NLP solutions, and introduces Hydrogen Torch and sophisticated language models which are core to the work of a Natural Language Processing Engineer. The course provides the know-how to use H2O.ai to implement practical NLP solutions. It focuses on enterprise use cases, giving a good foundation for the daily challenges faced by a Natural Language Processing Engineer.

See salaries and explore the career path for Natural Language Processing Engineer

AI Product Manager

An AI Product Manager oversees the development and strategy of AI products, and this course offers practical insights into AI technologies. This course details H2O.ai’s cloud-based AI services, including tabular data, language, vision, and code assistants, which will help an AI Product Manager in evaluating different AI solutions. The course helps Product Managers understand the capabilities of the H2O Cloud AI platform so they can guide product development and strategy. The course provides a look at real-world AI implementations, enabling AI Product Managers to envision practical uses and applications.

See salaries and explore the career path for AI Product Manager

AI Consultant

An AI Consultant advises clients on the implementation of AI systems, and this course provides an overview of AI’s cloud-based services. This program delves into the H2O.ai platform, which includes tabular, language, and vision services, along with AI assistants. For an AI Consultant, a comprehensive grasp of these tools helps with recommending AI strategies. The course’s focus on real-world applications gives a practical approach to the tools in the H2O ecosystem that an AI Consultant can use to guide clients towards the most effective solutions. This course may be useful for this role.

See salaries and explore the career path for AI Consultant

Business Intelligence Analyst

A Business Intelligence Analyst analyzes data to inform business decisions, and this course will help expand their skills with AI tools. The course explores tabular data analysis, machine learning model building, and data connectivity which are all related to the work of a Business Intelligence Analyst. Though not directly related, this course may be useful for a Business Intelligence Analyst who wants to explore AI applications, and use the H2O Cloud AI platform for deeper insights. The real world examples provided by the instructors will also be helpful in seeing how the tools may be used.

See salaries and explore the career path for Business Intelligence Analyst

Research Scientist

A Research Scientist conducts theoretical and applied research, and this course helps with using cloud-based AI tools in scientific contexts. The course covers tabular, language, and vision services provided by H2O.ai, and helps provide a foundation for practical scientific applications of these tools. This course may be helpful for a Research Scientist by showing them the applications of large language models and computer vision in the H2O Cloud, especially considering the course’s real-world focus. A Research Scientist may be interested in this course given the opportunity to experiment with real world datasets.

See salaries and explore the career path for Research Scientist

Software Engineer

A Software Engineer designs and develops software, and this course can expand their skill set with AI services. The course introduces H2O.ai’s cloud-based AI services, including tabular, language, vision, and AI assistant tools. A Software Engineer who takes this course may be interested in how to build AI capabilities into software. The course will allow a Software Engineer to integrate AI capabilities into existing or new software products, providing a useful overview of the H2O Cloud AI platform.

See salaries and explore the career path for Software Engineer

Technical Project Manager

A Technical Project Manager oversees software projects, and this course provides a useful perspective on AI technologies. The course provides an overview of H2O.ai's cloud-based AI services, including tabular, language, vision, and AI code assistants. A Technical Project Manager may find it helpful to understand the capabilities of AI systems, to inform the management of related projects. The practical focus of the course may be useful for a Technical Project manager to better understand the day-to-day issues that their team faces. This course may be useful for this role.

See salaries and explore the career path for Technical Project Manager

Applications Developer

An Applications Developer creates software applications, and this course helps introduce them to the tools to include AI in those applications. The course covers H2O.ai cloud-based services and explores tabular, language, vision, and AI tools that may be incorporated into applications. An Applications Developer exploring AI may find the course useful to implement practical AI functionality using the H2O Cloud AI platform. The real-world examples will also be helpful for seeing practical uses.

See salaries and explore the career path for Applications Developer

H2O Cloud AI Developer Services

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses