Google Cloud Certification: ML Engineer
Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.
Description for Google Cloud Certification: ML Engineer
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 11
Offered by: On Coursera provided by Google Cloud
Duration: 2 months at 10 hours a week
Schedule: Flexible
Pricing for Google Cloud Certification: ML Engineer
Use Cases for Google Cloud Certification: ML Engineer
FAQs for Google Cloud Certification: ML Engineer
Reviews for Google Cloud Certification: ML Engineer
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Google Cloud Certification: ML Engineer
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.
Featured Tools
Law's Generative AI Advantage. Utilize Generative AI to revolutionize legal research and practice.
Learn how to leverage GenAI's capabilities and manage its risks to enhance decision-making, productivity, and customer value in organizations.
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Work on the importance of two companion courses in machine learning, covering both mathematical and algorithmic tools, essential for practitioners to master the field.
Explores the ethical consequences, practical applications, and varieties of AI systems in education and the workplace.