Large Language Models microcourse from Google Cloud Skills Boost
Discover what Large Language Models are
- Understand what large language models are
- Learn how they differ from traditional AI approaches
- Learn to enhance LLM performance using prompt tuning techniques
- Discover Google’s specialized tools for developing Gen AI apps
- Earn a digital badge to showcase your skills on professional profiles
- Complete the course in under 1 hour
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for advanced AI/ML certifications
What you will learn
This introductory micro-learning course, Introduction to Large Language Models (LLMs), provides a concise yet comprehensive overview of what LLMs are, their practical use cases, and how to optimize their performance through prompt tuning. Designed for beginners, the course also introduces Google tools to help you build and deploy your own generative AI applications.
Google's Beginner-friendly Generative Al microcourse Outline
Learn the Generative Al microcourse
Want to unlock the power of Large Language Models (LLMs) in just 54 minutes? This free, beginner-friendly course from Google Cloud Skills Boost demystifies LLMs, teaches you how to optimize them with prompt tuning, and guides you in building AI apps using Google's cutting-edge tools. Perfect for developers, tech enthusiasts, or anyone curious about AI—no prior experience required! Earn a shareable badge to boost your resume and kickstart your journey into generative AI.
Start learning now:
Course Structure Includes:
Video: Introduction to Large Language Models (14 minutes)
Document: Introduction to Large Language Models: Reading (30 minutes)
Quiz: Introduction to Large Language Models: Quiz (10 minutes)
Total Duration: ~54 minutes
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Our course covers various topics, to prepare for more advanced Google Cloud certifications in AI/ML. You will learn what LLMs are, their practical use cases, and how to optimize their performance through prompt tuning.
Pre-requisites
No Experience needed.
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SPOTO Empowers You to Earn Your Certification.
Benefits of Google Professional Machine Learning Engineer Certification
The Google Professional Machine Learning Engineer certification validates expertise in designing, building, and deploying machine learning models using Google Cloud technologies. It demonstrates proficiency in critical areas such as framing ML problems, architecting scalable solutions, data preparation, model development, and productionization. This certification is highly regarded in the industry, enhancing career prospects by signaling advanced technical skills and practical experience in solving real-world business challenges. Certified professionals often gain a competitive edge in roles like machine learning engineer, data scientist, or AI developer, with opportunities at leading global companies. Additionally, Google recommends at least three years of ML experience for the exam, ensuring that certified individuals possess both theoretical knowledge and hands-on capabilities.
Advantages of Using SPOTO's Exam Preparation Materials
SPOTO's study resources provide comprehensive coverage of the exam syllabus, aligning with key topics like ML problem framing, data processing, model optimization, and pipeline automation. Their materials likely include structured learning paths, practice exams, and real-world case studies that mirror the certification's focus on Google Cloud tools and ML workflows. By leveraging SPOTO's targeted content, candidates can efficiently bridge knowledge gaps, reinforce practical skills, and gain familiarity with the exam format. This focused preparation increases confidence and readiness, particularly for complex tasks such as deploying CI/CD pipelines or optimizing model performance—areas emphasized in the certification. Combined with hands-on experience, SPOTO's resources offer a strategic advantage for achieving certification success.
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