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.


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
- Artificial Intelligence
- Continuous Monitoring
- System Monitoring
- Performance Tuning
- Data Cleansing
- Advanced Analytics
- Artificial Intelligence and Machine Learning (AI/ML)
- MLOps (Machine Learning Operations)
- Application Deployment
- Continuous Deployment
- Generative AI
- Feature Engineering
- Real Time Data
- Machine Learning
- Applied Machine Learning
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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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