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Artificial Intelligence
Professional Diploma

A comprehensive practical program covering machine learning, AI fundamentals, LLM engineering, RAG systems, agentic AI development, deployment, and AI security.

180 Hours
Online | Onsite | Hybrid
Professional Certificate

Who Should Enroll?

This program is designed for:

AI engineers

ML developers

Data scientists

Software developers

Solution architects

Automation developers

Program Modules

Comprehensive curriculum designed for real-world AI applications

1

Foundations of Machine Learning & Artificial Intelligence

5 days

Topics Covered

  • Big Data, ML, AI concepts
  • Data engineering foundations
  • Supervised & unsupervised learning
  • Neural networks & deep learning
  • AI solution patterns
  • Introduction to LLMs and RAG

Learning Outcomes

  • Understand ML and AI fundamentals
  • Build and evaluate ML models
  • Identify relevant AI real-world applications
2

Applied LLMs and Generative AI Engineering

5 days

Topics Covered

  • LLM fundamentals and fine-tuning
  • LangChain for AI application development
  • Local/offline AI architecture
  • RAG systems engineering
  • Agentic AI foundations
  • Workflow and task automation using CrawAI

Learning Outcomes

  • Build LLM applications using LangChain
  • Develop RAG systems
  • Create offline/local AI agents
  • Automate workflows and build knowledge systems
3

AI Deployment & Integration Engineering

3-5 days

Topics Covered

  • Model packaging and deployment
  • Building APIs for AI apps
  • Containerization and orchestration basics
  • Model monitoring and evaluation

Learning Outcomes

  • Deploy AI and LLM applications
  • Integrate AI systems with enterprise environments
4

Introduction to AI Security

1 day

Topics Covered

  • AI vs traditional application security
  • OWASP LLM Top 10
  • OWASP Agentic AI Top 10
  • Prompt injection and memory attacks
  • Agent impersonation risks
  • Foundational AI defensive design

Learning Outcomes

  • Identify LLM and agent vulnerabilities
  • Apply early-stage AI security defensive principles
5

AI Capstone Project

2-3 weeks

Topics Covered

  • Building a complete RAG assistant
  • Developing an offline AI agent
  • Enterprise-ready AI workflow automation system

Learning Outcomes

  • Working application
  • Documentation
  • Final presentation

Certification Requirements

Complete these requirements to earn your professional diploma

  • Completion of all modules
  • Submission of capstone project
  • Passing practical assessments

Start Your Journey

Join the next generation of cybersecurity and AI professionals

Main Headquarters

Ubadah bin Al-Samit, Al-Rawdah 13211, Riyadh, Saudi Arabia

+966 544336844
utox.com@gmail.com
Saudi Youth Cyber & AI Training Programs