Ai & Machine Learning

Machine Learning Using SAS Viya

(0 reviews)
Share icon
Coursera

This program�teaches participants on the integration of machine learning into data pipelines on Google Cloud, emphasizing core skills, practical applications, and productionalization utilizing Vertex AI.

Key AI Functions:machine learning, algorithm, neural networks, ai & machine learning

Description for Machine Learning Using SAS Viya

  • Guidance from Industry Professionals: Acquire knowledge directly from industry experts, obtaining insights into optimal methods and practical implementations of machine learning in data pipelines.

  • Fundamental Knowledge and Practical Skills: Acquire a comprehensive understanding of machine learning, artificial intelligence, and deep learning while cultivating job-relevant skills through practical projects.

  • BigQuery and Machine Learning APIs for Unstructured Data: Perform BigQuery commands from notebooks and acquire knowledge on utilizing ML APIs for analyzing unstructured data in cloud contexts.

  • Develop Machine Learning Models utilizing SQL and Vertex AI AutoML: Develop machine learning models with SQL syntax in BigQuery and without programming via Vertex AI AutoML, hence optimizing the model construction process.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 6 hours (approximately)

Schedule: Flexible

Reviews for Machine Learning Using SAS Viya

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for Machine Learning Using SAS Viya

The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.

#machine learning #data engineering
Visit icon

Learn how to use AI technologies for personal development and active learning, embrace continuous learning, and cultivate a growth mindset.

#artificial intelligence #growth mindedness
Visit icon

This training provides professionals with knowledge and practical advice on AI ethics, compliance issues, and risk management.

#artificial intelligence #ethics
Visit icon

Learn the skills necessary to operate, optimize, and implement large language models through practical experience with state-of-the-art LLM architectures and open-source resources.

#opensource #llm
Visit icon

Develop expertise in the exposure and deployment of large language models via application programming interfaces (APIs), configure server environments, and incorporate natural language processing (NLP) functionalities into applications.

#llamafile #api
Visit icon

Learn proficiency in the construction, deployment, and safeguarding of large language models at scale, utilizing Rust, Amazon Web Services (AWS), and established DevOps best practices.

#llmops #devops
Visit icon

This course is dedicated to the setting up of GPU-based environments, the deployment of local large language models (LLMs), and their integration into Python applications utilizing open-source tools.

#llm #local llm
Visit icon

Gain an extensive understanding of TinyML applications, fundamental principles, and the ethical development of artificial intelligence.

#artificial neural networks #smartphone operation
Visit icon

Gain proficiency in the automation of software development processes through the utilization of generative artificial intelligence, AI-assisted programming, MLOps, and Amazon Web Services.

#gen ai #software development
Visit icon

Discover AI terminology, ethical norms, and protocols for responsibly utilizing and citing Generative AI.

#artificial intelligence #ethics
Visit icon