Building AI Coding Agents with Codex and Agentic Workflows — PickAClass
4.0 (5) ⏱ 2h 48m 📚 28 lessons 🎧 Audio version

Building AI Coding Agents with Codex and Agentic Workflows

Create autonomous coding agents and optimize your development cycle using the Codex CLI and advanced prompt engineering.

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About this course

Modern software development is shifting from manual typing to orchestrating intelligent agents. If you want to move beyond simple AI autocomplete and start building autonomous systems that handle complex coding tasks, you need to understand the power of agentic AI. This course takes you from foundational concepts to building a functional AI coding agent. You will learn how to leverage the Codex ecosystem to automate file edits, command execution, and code auditing, significantly increasing your professional output and shipping speed. What you'll learn: - Understand the core principles of agentic AI and autonomous coding workflows - Configure the Codex CLI and integrated environment tools for maximum efficiency - Apply the K.I.M. prompt engineering framework to generate production-grade code - Build an AI agent capable of auditing, refactoring, and testing existing codebases - Manage context and constraints to ensure AI-generated solutions meet project requirements - Implement agent loops that can read files and execute terminal commands autonomously The course begins with essential terminology and the architecture of the Codex model family. You will then progress through written explanations and code-based examples to set up your environment, master advanced prompting techniques, and finally construct a complete agentic workflow. This course is designed for developers and tech enthusiasts who are new to agentic AI. No prior experience with autonomous agents is required. Start building your first autonomous coding agent today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 48m 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
Building AI Coding Agents with Codex and Agentic Workflows
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
Building AI Coding Agents with Codex and Agentic Workflows
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 (5)

Saoirse Murphy IE Verified learner
★ 4 · June 29, 2026

This provided a good overview. The explanations were decent, but sometimes I wished for more practical application scenarios. Still, a valuable learning experience.

Kwesi Kyeremateng GH Verified learner
★ 4 · June 6, 2026

Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.

Asanka Jayawardena LK Verified learner
★ 4 · June 2, 2026

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

Mei Ling KE
★ 3 · May 31, 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.

Rafael Pinto BR
★ 5 · May 31, 2026

Learned a good amount here. The examples were relevant, though I wished there were a few more practical application tasks. Still, a worthwhile experience.

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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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