Foundations of Generative and Agentic AI — PickAClass
3.8 (13) ⏱ 2h 36m 📚 26 lessons

Foundations of Generative and Agentic AI

Learn how large language models, prompt engineering, and autonomous agents work, and gain the skills to design intelligent workflows that automate complex tasks.

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About this course

Artificial intelligence is evolving from passive tools that answer questions into active agents that can plan, execute, and automate complex workflows. Understanding how these generative and agentic systems function is essential for anyone looking to stay ahead in the modern digital landscape. This text-based course guides you through the core principles of modern AI, taking you from the basics of large language models to the architecture of autonomous agents. You will gain a clear, conceptual understanding of how these systems think, make decisions, and interact with external tools to solve real-world problems. What you'll learn: - Understand the fundamental mechanics of Large Language Models (LLMs) and how they process information. - Apply core prompt engineering techniques to guide AI models toward accurate and context-aware outputs. - Explore Retrieval-Augmented Generation (RAG) patterns and the role of vector databases in providing external knowledge. - Design basic agentic workflows where AI agents plan, use tools, and collaborate to achieve specific goals. - Evaluate safety, ethics, and best practices for deploying autonomous systems in professional environments. You will start with foundational terminology and the basic mechanics of generative models before gradually moving into complex agent architectures, all explained through clear written concepts and practical code walkthroughs. This course is designed for beginners, professionals, and tech enthusiasts who want to understand the next wave of AI without needing a background in advanced machine learning. Begin reading today to build a strong foundation in the future of autonomous technology.

What you'll get

  • 📜 Certificate of completion
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  • 💬 Personal AI tutor
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • 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.

P
PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Foundations of Generative and Agentic AI
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
Foundations of Generative and Agentic AI
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.

Reviews (13)

Noah Williams NZ Verified learner
★ 2 · July 26, 2026

The course was informative. I appreciated the structure and the examples, though some topics felt a little rushed. Overall, a decent experience.

Kenichi Suzuki KE Verified learner
★ 4 · July 22, 2026

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

鈴木 さくら JP Verified learner
★ 3 · July 20, 2026

Decent course. The structure was logical, but some of the explanations could have been clearer. Still, a solid foundation.

Noah Johnson AU Verified learner
★ 3 · July 19, 2026

Pretty good overall. The structure was logical, and many of the examples were helpful. A few areas could have used a bit more depth, but it's solid.

Noah Johnson KE Verified learner
★ 5 · July 12, 2026

A truly excellent learning experience. The flow was logical and the examples were super helpful.

Elizabeth Walker NZ Verified learner
★ 2 · July 10, 2026

Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.

Ava Martinez NZ Verified learner
★ 4 · July 9, 2026

Fantastic resource. I learned so much, and the examples used were super helpful in understanding the concepts. Highly recommend.

مريم بنت سعيد EG Verified learner
★ 4 · June 27, 2026

This was a great learning experience. Very clear explanations and a logical flow that made complex ideas easy to grasp.

Lucía Fernández PA Verified learner
★ 4 · June 16, 2026

A good introduction. The structure was mostly clear, but I wish there were a few more real-world examples. Still, learned a lot.

حسن الشابي TN Verified learner
★ 5 · June 13, 2026

Wow, what a fantastic learning experience. The structure was logical, and I felt like I learned so much in a short time. Definitely recommend.

Kwabena Ansah GH
★ 5 · June 9, 2026

This was a good introduction. The structure is logical, and it covers the basics effectively. Might be too introductory for advanced learners.

Jonathan Acheampong GH Verified learner
★ 4 · June 8, 2026

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Nataniel Reich IL Verified learner
★ 4 · June 8, 2026

Good introduction to the topic. The structure was logical, and most of the examples were relevant, though I wished for more depth in certain areas.

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

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

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

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

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