Generative AI Application Development on GCP — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

Generative AI Application Development on GCP

Learn to build, deploy, and manage generative artificial intelligence applications using Cloud Platform services from foundational concepts.

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  • 🌐 In English
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About this course

Generative artificial intelligence is rapidly transforming how software interacts with users and processes information. Unlock the power of this technology by learning to build your own AI-driven applications. This course offers a structured path to acquire the foundational knowledge and practical skills needed to develop and deploy generative AI applications. You will master the entire development lifecycle, from understanding core concepts and setting up your cloud environment to deploying robust, scalable AI solutions. What you'll learn: Understand the fundamental concepts and types of generative AI models. Configure a secure and efficient development environment on Cloud Platform. Apply effective prompt engineering techniques to guide generative models. Develop and fine-tune generative models for specific application needs. Implement Retrieval-Augmented Generation (RAG) patterns for informed AI responses. Containerize and deploy generative AI models as scalable API services. Practice integrating generative AI capabilities into end-to-end applications. The curriculum progresses from essential theoretical knowledge to hands-on practical application. You will read detailed explanations and work through code snippets to build a comprehensive understanding of each step. This course is designed for absolute beginners with no prior experience in generative AI or cloud development. No specific technical prerequisites are required. Start your journey toward creating innovative, intelligent applications today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • 🎧 Audio version included
    Learn on the go — no screen needed
  • ♾️ Lifetime access
    Come back anytime, no expiry
  • 📱 Phone or computer
    Works anywhere, any device
  • 💸 14-day refund
    No questions asked
  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Generative AI Application Development on GCP
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
Generative AI Application Development on GCP
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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