Expand your understanding of H2O's GenAI platform with the Ecosystem Overview - Level 2 course, presented by H2O's very own Sanyam Bhutani! This course provides an in-depth comprehensive exploration of the tools, applications, and methodologies tailored for artificial intelligence (AI) and machine learning (ML) within the H2O ecosystem. You will delve deeper into efficient data preparation techniques, advanced model training, deployment strategies, and real-time monitoring solutions, covering the full spectrum of all the capabilities available.
H2O Gen AI Ecosystem Overview - Level 2
通过 Coursera Plus 解锁访问 10,000 多门课程。开始 7 天免费试用。
您将学到什么
Comprehensive Understanding of GenAI Ecosystem.
Hands-On Proficiency in AI and ML Workflows.
Expertise in Fine-Tuning Language Models.
Evaluation and Optimization of Large Language Models.
您将获得的技能
- Advanced Analytics
- MLOps (Machine Learning Operations)
- Artificial Intelligence
- Application Deployment
- Continuous Deployment
- Feature Engineering
- Machine Learning
- System Monitoring
- Continuous Monitoring
- Performance Tuning
- Generative AI
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Cleansing
- Applied Machine Learning
- Real Time Data
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作业
1 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
从 Machine Learning 浏览更多内容
状态：预览H2O.ai
状态：预览H2O.ai
状态：免费试用
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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