Beginner-friendly Generative AI microcourse from Google Cloud Skills Boost
Stay up-to-date in the emerging landscape of AI
- Grasp AI tools to automate repetitive tasks and streamline decision-making
- Grasp how to write clear, structured prompts to generate high-quality outputs
- Leveraging advanced techniques like chain-of-thought reasoning
- Gain identify biases, and implement AI responsibly in professional settings
- Build a base for specialized roles in AI development or cloud engineering
- Develop strategies to track AI and integrate emerging tools into workflows
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
Google AI Essentials is a self-paced online course offered on Coursera, designed for professionals across industries to master foundational AI skills in under 10 hours. Developed by Google AI experts, the program requires no prior experience and focuses on practical applications of generative AI tools.
Google AI Essentials Course Outline
Unlock the power of AI in your career with the Google AI Essentials course
Designed by Google experts, this 10-hour, self-paced program teaches you to harness generative AI tools for real-world tasks—from drafting emails to making data-driven decisions. Learn to craft effective prompts, mitigate AI biases, and stay ahead in the fast-evolving tech landscape. No coding experience? No problem. By earning a Google-issued certificate, you'll stand out in today's competitive job market. Ready to boost your productivity and future-proof your skills? Enroll now and join over 730,000 professionals worldwide who've already transformed their careers with AI.
Start learning now:
Course Structure Includes:
Generative AI Fundamentals: Understand AI concepts like machine learning and generative AI capabilities/limitations.
Productivity Enhancement: Use AI to accelerate workflows (e.g., drafting emails, event planning, creative ideation).
Prompt Engineering: Learn techniques like few-shot prompting to refine AI outputs for tasks such as summarization and content generation.
Responsible AI Practices: Mitigate biases, evaluate AI risks, and apply ethical frameworks to workplace scenarios.
Future-Proofing Skills: Stay updated with AI trends and organizational case studies to adapt to evolving technology.
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'll understand AI concepts like machine learning and generative AI capabilities/limitations. You'll learn how to use AI tools to generate ideas and content. You'll use AI tools to help research, organize, and make more informed decisions. You'll use AI tools to help speed up those daily work tasks, like drafting email responses. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm.
Pre-requisites
No Experience needed.
Generative AI in Real World Workplaces PDF Free Download | SPOTO
Generative AI in Real World Workplaces PDF Free Download | SPOTO
Cours name: AI File Type: PDF
Governing AI- A Blueprint for the Future PDF Free Download | SPOTO
Governing AI- A Blueprint for the Future PDF Free Download | SPOTO
Cours name: AI File Type: PDF
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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