Courses / School of Artificial Intelligence / Artificial Intelligence & Generative AI
Beginner Level Track ★ Flagship Cohort

Artificial Intelligence & Generative AI

Build practical Artificial Intelligence & Generative AI capability through live classes, guided labs and a portfolio-grade capstone

A 12-week artificial intelligence programme where learners practice AI-assisted workflows, responsible prompting and automation, complete weekly assignments and graduate with evidence of real work.

Duration: 12 Weeks
Lectures: 24 Sessions
Delivery: Online, physical, hybrid
Credential: QR Verified

Technologies & Tools

Generative AI Prompt Engineering APIs Automation Python Generative AI Prompt Engineering APIs Automation Python

Programme Architecture & Overview

The Arc IT Artificial Intelligence & Generative AI programme is a structured 12-week learning experience for people who want practical, job-relevant artificial intelligence capability. Learners attend two live sessions each week, complete guided labs, receive feedback on assignments and build toward a capstone project. The curriculum moves from foundations to applied workflows, then into implementation, review and presentation. Each cohort can be delivered online, physical or hybrid, with administrators able to manage curriculum, cohorts, pricing and publication from the platform.

Build Real Systems

Practical weekly coding labs, CI/CD automated deployments, and a production capstone.

Practitioner Review

Interactive sessions with working senior engineers. Personalized feedback on all PRs.

Verified Evidence

Graduate with a GitHub portfolio and verifiable certificate accessible to global employers.

What You Will Build & Master

Explain the core concepts, vocabulary and workflows behind Artificial Intelligence & Generative AI.
Use Generative AI, Prompt Engineering, APIs and Automation to complete realistic artificial intelligence tasks.
Plan, build and present a responsible AI workflow or assistant that solves a documented business problem.
Apply professional habits: documentation, review, iteration, quality checks and ethical practice.
Prepare portfolio evidence that can support employment, freelancing, business or internal team goals.

Who This Track Is For

  • • Beginners who want a guided path into Artificial Intelligence & Generative AI.
  • • Professionals who need practical artificial intelligence skills for current work.
  • • Career switchers building portfolio evidence for entry-level opportunities.
  • • Entrepreneurs and teams who want to apply technology to business problems.

Requirements & Prerequisites

  • • Basic computer literacy and comfort using the internet.
  • • A laptop that can run the required tools for the programme.
  • • Availability for two weekly live sessions and independent practice.
  • • No prior specialist experience is required unless stated by admissions for a specific cohort.
Direct Capability Transfer

What You Will Be Able to Do (Week by Week & Class by Class)

Clear, real-world capabilities and hands-on milestones you will achieve in every single week and class. No confusing jargon—just practical skills you will build, test, and master.

12 Hands-on Weeks • 24 Classes
WEEK 01

Orientation and Foundations

2 Classes
🎯 What you will be able to do this week:
Map the field, expectations, learning workflow and success criteria. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Orientation and Foundations: Concepts and Demonstration
Free Preview
🎯 What you will do: Learners study the principles behind Orientation and Foundations and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Orientation and Foundations applies to Artificial Intelligence & Generative AI.
Class 2 Orientation and Foundations: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 1 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 1 project milestone with notes, screenshots or source files where applicable.
WEEK 02

Core Concepts and Vocabulary

2 Classes
🎯 What you will be able to do this week:
Build fluency in the key ideas that shape Artificial Intelligence & Generative AI work. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Core Concepts and Vocabulary: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Core Concepts and Vocabulary and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Core Concepts and Vocabulary applies to Artificial Intelligence & Generative AI.
Class 2 Core Concepts and Vocabulary: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 2 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 2 project milestone with notes, screenshots or source files where applicable.
WEEK 03

Tools Setup and Professional Workflow

2 Classes
🎯 What you will be able to do this week:
Configure Generative AI, Prompt Engineering and APIs and learn how practitioners organize work. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Tools Setup and Professional Workflow: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Tools Setup and Professional Workflow and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Tools Setup and Professional Workflow applies to Artificial Intelligence & Generative AI.
Class 2 Tools Setup and Professional Workflow: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 3 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 3 project milestone with notes, screenshots or source files where applicable.
WEEK 04

Fundamental Techniques

2 Classes
🎯 What you will be able to do this week:
Practice the repeatable techniques used in AI-assisted workflows, responsible prompting and automation. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Fundamental Techniques: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Fundamental Techniques and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Fundamental Techniques applies to Artificial Intelligence & Generative AI.
Class 2 Fundamental Techniques: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 4 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 4 project milestone with notes, screenshots or source files where applicable.
WEEK 05

Guided Lab One

2 Classes
🎯 What you will be able to do this week:
Apply foundations to a realistic artificial intelligence task with instructor support. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Guided Lab One: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Guided Lab One and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Guided Lab One applies to Artificial Intelligence & Generative AI.
Class 2 Guided Lab One: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 5 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 5 project milestone with notes, screenshots or source files where applicable.
WEEK 06

Planning and Architecture

2 Classes
🎯 What you will be able to do this week:
Break problems into requirements, milestones, assets, risks and acceptance criteria. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Planning and Architecture: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Planning and Architecture and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Planning and Architecture applies to Artificial Intelligence & Generative AI.
Class 2 Planning and Architecture: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 6 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 6 project milestone with notes, screenshots or source files where applicable.
WEEK 07

Implementation Sprint One

2 Classes
🎯 What you will be able to do this week:
Build the first working version of the Artificial Intelligence & Generative AI project artefact. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Implementation Sprint One: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Implementation Sprint One and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Implementation Sprint One applies to Artificial Intelligence & Generative AI.
Class 2 Implementation Sprint One: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 7 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 7 project milestone with notes, screenshots or source files where applicable.
WEEK 08

Quality, Testing and Review

2 Classes
🎯 What you will be able to do this week:
Use checks, reviews and feedback loops to improve reliability and clarity. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Quality, Testing and Review: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Quality, Testing and Review and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Quality, Testing and Review applies to Artificial Intelligence & Generative AI.
Class 2 Quality, Testing and Review: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 8 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 8 project milestone with notes, screenshots or source files where applicable.
WEEK 09

Implementation Sprint Two

2 Classes
🎯 What you will be able to do this week:
Extend the project with deeper workflows, edge cases and documentation. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Implementation Sprint Two: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Implementation Sprint Two and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Implementation Sprint Two applies to Artificial Intelligence & Generative AI.
Class 2 Implementation Sprint Two: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 9 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 9 project milestone with notes, screenshots or source files where applicable.
WEEK 10

Professional Practice

2 Classes
🎯 What you will be able to do this week:
Cover collaboration, ethics, security, handoff, support and communication. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Professional Practice: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Professional Practice and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Professional Practice applies to Artificial Intelligence & Generative AI.
Class 2 Professional Practice: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 10 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Submit the week 10 project milestone with notes, screenshots or source files where applicable.
WEEK 11

Capstone Build and Feedback

2 Classes
🎯 What you will be able to do this week:
Develop a responsible AI workflow or assistant that solves a documented business problem with structured review and correction. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Capstone Build and Feedback: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Capstone Build and Feedback and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Capstone Build and Feedback applies to Artificial Intelligence & Generative AI.
Class 2 Capstone Build and Feedback: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 11 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Prepare and submit the capstone milestone for a responsible AI workflow or assistant that solves a documented business problem.
WEEK 12

Presentation, Portfolio and Next Steps

2 Classes
🎯 What you will be able to do this week:
Present the final work, document learning evidence and plan progression. This week connects Artificial Intelligence & Generative AI theory to practical work learners can show and explain.
Class 1 Presentation, Portfolio and Next Steps: Concepts and Demonstration
⏱ 120 mins
🎯 What you will do: Learners study the principles behind Presentation, Portfolio and Next Steps and see a live demonstration connected to AI-assisted workflows, responsible prompting and automation.
🛠️ Hands-on Lab: Complete a guided worksheet or lab using Generative AI, Prompt Engineering and APIs.
📦 What you deliver: Submit a short reflection or artefact showing how Presentation, Portfolio and Next Steps applies to Artificial Intelligence & Generative AI.
Class 2 Presentation, Portfolio and Next Steps: Practical Studio
⏱ 120 mins
🎯 What you will do: Learners apply the week 12 topic in a supervised practical session and receive feedback.
🛠️ Hands-on Lab: Improve the course project with a visible deliverable tied to AI-assisted workflows, responsible prompting and automation.
📦 What you deliver: Prepare and submit the capstone milestone for a responsible AI workflow or assistant that solves a documented business problem.

Faculty Instructor

En

Engr. David Okonjo

Lead Software Engineer & Cloud Architect

Senior Engineering Lead with 11+ years designing distributed systems, cloud infrastructure, and training over 2,500 software developers across Africa.

Capstone Project & Cryptographic Certification

Learners may receive an Arc IT Certificate of Completion after meeting attendance, assignment, assessment and capstone requirements for Artificial Intelligence & Generative AI. Certificate verification exposes only approved public certificate information.

Certificates can be publicly verified anytime by employers at arcit.online/verify.

Frequently Asked Questions

What is the duration?

The standard long-form programme runs for 12 weeks with 24 live sessions.

Is the training online or physical?

Courses can support online, physical or hybrid delivery depending on the cohort.

Will I build projects?

Yes. Artificial Intelligence & Generative AI includes weekly exercises, a reviewed project and a capstone: Capstone: a responsible AI workflow or assistant that solves a documented business problem.

Do I need previous experience?

Most cohorts start from practical foundations. Admissions may advise extra preparation for intermediate or advanced cohorts.

Can organizations sponsor learners?

Yes. Corporate and sponsored cohort requests can be handled through the training request process.

Tuition Investment
$466.67 USD
✓ Installment option available
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