Overview of Course Categories
At the Professional Skills Training Institute, we offer a wide range of courses designed to meet the diverse needs of today's professionals. Our courses are organized into these main categories
Artificial Intelligence
Aims to equip learners with foundational knowledge, advanced techniques, and practical skills in AI technologies.
- Introduction to Artificial Intelligence (AI)
Duration: (3 weeks – beginner level)- Python Programming for AI
Duration: (4 weeks - beginner level)- Foundations of Machine Learning
Duration: (4 weeks – beginner level)- Data Science Fundamentals
Duration: (3 weeks – beginner level)- Deep Learning Essentials
Duration: (4 weeks – intermediate level)- Natural Language Processing Basics
Duration: (4 weeks – intermediate level)- AI and Automation in the Workforce
Duration: (3 weeks – intermediate level)- Computer Vision with AI
Duration: (4 weeks - intermediate level)- AI in Business: Practical Applications
Duration: (3 weeks - intermediate level)- AI Ethics and Responsible AI
Duration: (3 weeks - advanced level)- AI for IoT (Internet of Things)
Duration: (4 weeks – advanced level)- AI for Cybersecurity
Duration: (4 weeks – advanced level)- Generative AI Fundamentals
Duration: (3 weeks - beginner level)
Machine Learning
aims to equip participants with the knowledge and practical skills required to understand, build, and implement machine learning models in various applications.
- Introduction to Machine Learning
Duration: 4 weeks – beginner level- Python for Data Science and Machine Learning
Duration: 4 weeks – beginner level- Data Preprocessing and Feature Engineering
Duration: 3 weeks – beginner level- Supervised Learning Techniques
Duration: 3 weeks – intermediate level- Unsupervised Learning Techniques
Duration: 3 weeks – intermediate level- Neural Networks and Deep Learning Fundamentals
Duration: 6 weeks – intermediate level- Reinforcement Learning
Duration: 5 weeks – advanced level- Advanced Machine Learning Techniques
Duration: 5 weeks – advanced level- Machine Learning with Tensorflow
Duration: 8 weeks - intermediate- Machine Learning Engineer with Microsoft Azure
Duration: 8 weeks - intermediate
Deep Learning
designed to equip students with foundational and advanced knowledge in artificial intelligence (AI) and neural networks.
- Introduction to Deep Learning
Duration: 4 weeks - beginner level- Convolutional Neural Networks
Duration: 4 weeks - intermediate- Recurrent Neural Networks and Transformers
Duration: 3 weeks - intermediate- Computer Vision with Deep Learning
Duration: 4 weeks – advanced level- Natural Language Processing (NLP) with Deep Learning
Duration: 4 weeks - advanced level- Generative Adversarial Networks (GANs)
Duration: 4 weeks - advanced level- Reinforcement Learning with Deep Learning
Duration: 4 weeks - advanced level- Deep Learning with TensorFlow and Keras
Duration: 8 weeks – advanced level- Deep Learning for Time Series Forecasting
Duration: 4 weeks - advanced level- Edge AI and Embedded Deep Learning
Duration: 4 weeks - advanced level- Explainable AI (XAI) and Model Interpretability
Duration: 4 weeks - advanced level
Cybersecurity
designed to equip students with the foundational knowledge and practical skills needed to protect digital infrastructures, detect vulnerabilities, and mitigate cyber threats.
- Introduction to Cybersecurity
Duration: 2 weeks - beginner level- Mobile Security Essentials
Duration: 3 weeks - beginner level- Cloud Security Essentials
Duration: 4 weeks - beginner level- Cryptography Essentials
Duration: 3 weeks - beginner level- Cybersecurity Risk Management
Duration: 3 weeks - intermediate level- Incident Response and Forensics
Duration: 4 weeks - intermediate level- Web Application Security
Duration: 3 weeks - intermediate level- Information Security Management Systems
Duration: 2 weeks - intermediate level- CISM Certification Training Course
Duration: 2 weeks - intermediate level- Certified Information Systems Security Professional (CISSP) Certification Training Course
Duration: 2 weeks - intermediate level- ISO 22301 Business Continuity Management Systems Course
Duration: 2 weeks - intermediate level- Ethical Hacking and Penetration Testing
Duration: 4 weeks - advanced level- ISO 9001 Quality Management Systems
Duration: 2 weeks - intermediate level- ISO/IEC 20000 – IT Service Management
Duration: 2 weeks - intermediate level- ISO 31010 Risk Management Techniques
Duration: 2 weeks - intermediate level- Cybersecurity Awareness for Non-IT Professionals
Duration: 1 week
Computer Networking
designed to equip students with the foundational and advanced skills necessary to understand, configure, and manage network systems.
- Introduction to Computer Networking
Duration: (4 weeks – beginner level)- Networking Protocols and Standards
Duration: (3 weeks – beginner level)- Cisco Networking Essentials (CCNA Prep)
Duration: (6 weeks – beginner level)- Wireless Networking Fundamentals
Duration: (4 weeks – beginner level)- Network Security Fundamentals
Duration: (4 weeks – beginner level)- Virtualization and Cloud Networking
Duration: (4 weeks – intermediate level)- Network Troubleshooting and Diagnostics
Duration: (3 weeks – intermediate level)- Advanced Routing and Switching
Duration: (4 weeks – advanced level)- Software-Defined Networking (SDN) and Network Automation
Duration: (4 weeks – advanced level)- Introduction to Internet of Things (IoT) Networking
Duration: (4 weeks – advanced level)
Databases and SQL
aims to equip students with the foundational knowledge and practical skills needed to design, manage, and query databases.
- Introduction to Databases and SQL
Duration: (2 weeks – beginner level)- SQL for Data Retrieval and Reporting
Duration: (2 weeks – beginner level)- Database Design and Normalization
Duration: (3 weeks – intermediate level)- Azure SQL Databases Fundamentals
Duration: (3 weeks – intermediate level)- Cloud Data Warehouses with Azure
Duration: (3 weeks - intermediate)- Data lakes and Lakehouses with Spark and Azure Databricks
Duration: (3 weeks - intermediate)- Advanced SQL Queries
Duration: (3 weeks – advanced level)- SQL for Data Science
Duration: (4 weeks – advanced level)- NoSQL Databases
Duration: (3 weeks – advanced level)- Database Security and Administration
Duration: (4 weeks – advanced level)- SQL for Web Development
Duration: (3 weeks – advanced level)- Management of Relational and Non-relational Databases
Duration: (4 weeks – advanced level)
Data Analysis
designed to equip students with practical skills and knowledge in analyzing and interpreting data to support decision-making across various industries.
- Introduction to Data Analysis
Duration: (4 weeks – beginner level)- Data Analysis with Excel
Duration: (3 weeks – beginner level)- Python for Data Analysis
Duration: (4 weeks – beginner level)- Statistics for Data Analysis
Duration: (4 weeks – beginner level)- Data Visualization Techniques
Duration: (4 weeks)- SQL for Data Analysis
Duration: (4 weeks)- Data Analysis with Pandas and NumPy
Duration: (3 weeks – intermediate level)- Data Analysis with R
Duration: (4 weeks – intermediate level)- Advanced Data Analysis with Machine Learning
Duration: (4 weeks – advanced level)- Advanced Data Analysis with Power BI
Duration: (4 weeks – advanced level)- Big Data Analysis
Duration: (6 weeks – advanced level)- Business Analytics
Duration: (4 weeks - advanced level)- A/B Testing for Business Analysts
Duration: (2 weeks - advanced level)
Data Science
designed to equip learners with the essential skills needed to handle data-driven tasks, make informed decisions, and solve real-world problems through the use of data analytics and machine learning.
- Introduction to Data Science
Duration: (4 weeks – beginner level)- Exploratory Data Analysis (EDA)
Duration:(4 weeks – intermediate level)- Introduction to Machine Learning
Duration: (4 weeks – intermediate level)- Applied Time Series Analysis
Duration: (4 weeks – intermediate level)- SQL for Data Science
Duration: (4 weeks – intermediate level)- Data Processing in Data Science
Duration: (4 weeks – intermediate level)- Introduction to Web Scraping with Python
Duration: (4 weeks – intermediate level)- Deep Learning with Neural Networks
Duration: (4 weeks – advanced level)- Big Data Analytics
Duration: (4 weeks – advanced level)- Advanced Machine Learning Algorithms
Duration: (4 weeks – advanced level)- Building Data Science Pipelines Using Python
Duration: (4 weeks – advanced level)
Data Engineering
designed to equip learners with the skills and knowledge required to build, manage, and optimize data infrastructure, pipelines, and databases that enable organizations to process large volumes of data efficiently.
- Introduction to Data Engineering
Duration: (2 weeks – beginner level)- SQL for Data Engineers
Duration: (3 weeks – intermediate level)- Data Warehousing & ETL Frameworks
Duration: (4 weeks – intermediate level)- Big Data Engineering with Apache Hadoop and Spark
Duration: (6 weeks – advanced level)- Cloud Data Engineering
Duration: (4 weeks – advanced level)- Data Streaming and Real-Time Processing
Duration: (4 weeks – advanced level)- NoSQL Databases for Data Engineers
Duration: (3 weeks – advanced level)- Data Engineering with Python
Duration: (4 weeks – advanced level)- Data Governance and Security for Data Engineers
Duration: (4 weeks – advanced level)- Introduction to Hadoop and MapReduce
Duration: (2 weeks – intermediate level)- Data Engineering with AWS
Duration: (4 weeks – advanced level)- Data Engineering with Microsoft Azure
Duration: (4 weeks – advanced level)
Data Visualization
focuses on teaching learners how to effectively represent and communicate data through visual elements such as charts, graphs, and interactive dashboards.
- Introduction to Data Visualization
Duration: (3 weeks – beginner level)- Data Visualization with Python
Duration: (4 weeks – intermediate level)- Data Visualization with R
Duration: (4 weeks – intermediate level)- Advanced Data Visualization Techniques
Duration: (4 weeks – advanced level)- Data Visualization in Tableau
Duration: (3 weeks – intermediate level)- Data Analysis and Visualization with Microsoft Power BI
Duration: (3 weeks – intermediate level)- Data Visualization for Business Insights
Duration: (4 weeks – advanced level)- Ethics in Data Visualization
Duration: (2 weeks)- Storytelling with Data
Duration: (3 weeks)
Natural Language Processing
aims to equip participants with the skills and knowledge to develop NLP applications, analyze textual data, and understand language models.
- Introduction to Natural Language Processing
Duration: (4 weeks – beginner level)- Machine Learning for Natural Language Processing
Duration: (4 weeks – intermediate level)- Large Language Models (LLMs) Crash Course for Beginners
Duration: (4 weeks – intermediate level)- Large Language Models (LLMs) and Text Generation
Duration: (4 weeks – intermediate level)- AI Prompt Engineering Crash Course for Beginners
Duration: (4 weeks – intermediate level)- Deep Learning for Natural Language Processing
Duration: (6 weeks – advanced level)- Natural Language Understanding (NLU)
Duration: (4 weeks – advanced level)- Natural Language Generation (NLG)
Duration: (4 weeks – advanced level)- Text Mining and Sentiment Analysis
Duration: (4 weeks – advanced level)- Ethics and Bias in Natural Language Processing
Duration: (2 weeks)- Advanced NLP Techniques and Trends
Duration: (4 weeks – advanced level)
Prompt Engineering
involves crafting effective prompts to optimize the performance of artificial intelligence (AI) and language models, such as GPT-4 and others.
- Introduction to Prompt Engineering
Duration: (4 weeks – beginner level)- Advanced Prompt Design for Generative AI
Duration: (4 weeks – beginner level)- Prompt Engineering for Chatbots and Conversational AI
Duration: (4 weeks – beginner level)- Ethical Prompt Engineering
Duration: (2 weeks)- Customizing AI Behavior Through Prompts
Duration: (4 weeks – intermediate level)- Prompt Engineering for Code Generation
Duration: (4 weeks – intermediate level)
Robotics
designed for students, professionals, and enthusiasts interested in understanding the principles of robotics, automation, and related technologies.
- Introduction to Robotics
Duration: (4 weeks – beginner level)- Robotics Programming Fundamentals
Duration: (4 weeks – intermediate level)- Mobile Robotics and Autonomous Systems
Duration: (4 weeks – intermediate level)- Industrial Robotics
Duration: (6 weeks – advanced level)- AI and Robotics: Machine Learning for Robots
Duration: (4 weeks – intermediate level)- Humanoid Robotics
Duration: (6 weeks – intermediate level)- Robotic Vision and Sensing
Duration: (4 weeks – intermediate level)- Robotics and Embedded Systems
Duration: (4 weeks – advanced level)- Robotics for Healthcare and Assistive Technologies
Duration: (6 weeks – advanced level)- Swarm Robotics
Duration: (4 weeks – advanced level)- Drones and Aerial Robotics
Duration: (4 weeks – advanced level)
Cloud Computing
aims to equip participants with essential skills and knowledge to understand and utilize cloud technologies effectively.
- Introduction to Cloud Computing
Duration: (3 weeks – beginner level)- AWS Cloud Practitioner Essentials
Duration: (3 weeks – beginner level)- Azure Fundamentals
Duration: (3 weeks – beginner level)- Google Cloud Fundamentals
Duration: (3 weeks – beginner level)- Cloud Security Essentials
Duration: (4 weeks – beginner level)- Serverless Computing
Duration: (3 weeks – beginner level)- Cloud DevOps Foundations
Duration: (4 weeks – beginner level)- Cloud Networking Essentials
Duration: (3 weeks – beginner level)- Cloud Storage and Databases
Duration: (3 weeks – beginner level)- Cloud Data Warehouses
Duration: (2 weeks - intermediate)- Cloud Architecture and Design
Duration: (3 weeks - intermediate)- Cloud Development using Microsoft Azure
Duration: (4 weeks – intermediate level)- AWS Cloud Fundamentals
Duration: (3 weeks - intermediate)- Cloud Computing for Business Leaders
Duration: (4 weeks – advanced level)- Multi-Cloud Computing
Duration: (3 weeks – advanced level)
Project Management
designed to equip individuals with the essential skills and knowledge needed to effectively manage projects across various industries.
- Introduction to Project Management
Duration: (1 week – beginner level)- Agile Project Management
Duration: (2 weeks – intermediate level)- Project Risk Management
Duration: (1 week – intermediate level)- Project Scheduling and Time Management
Duration: (1 week – intermediate level)- Project Management Tools and Software
Duration: (2 weeks – intermediate level)- Leadership and Communication in Project Management
Duration: (1 week – intermediate level)- Financial Management for Projects
Duration: (1 week – intermediate level)- PMP Exam Preparation Course
Duration: (1 week)- Stakeholder and Communication Management
Duration: (1 week – intermediate level)- Change Management in Projects
Duration: (1 week – intermediate level)- Digital Project Management
Duration: (4 weeks - intermediate level)
Time Series Analysis
participants learn how to model, interpret, and forecast time-dependent data, which is crucial for decision-making in various fields, including finance, economics, environmental science, and more.
- Introduction to Time Series Analysis
Duration: (3 weeks – beginner level)- A Guide to Algorithmic Trading
Duration: (3 weeks – beginner level)- Time Series Forecasting
Duration: (4 weeks - intermediate level)- Python Basics for Financial Markets
Duration: (4 weeks - intermediate level)- Machine Learning in Trading
Duration: (4 weeks - advanced level)- Analysis of Time Series Data with NumPy
Duration: (3 weeks - advanced level)- Real-Time Analytics with Apache Storm
Duration: (4 weeks - advanced level)- Advanced Time Series Analysis and Machine Learning
Duration: (6 weeks - advanced level)
Recommendation Systems
designed to equip participants with the skills and knowledge necessary to develop, implement, and evaluate recommendation algorithms.
- Introduction to Recommendation Systems
Duration: (3 weeks – beginner level)- Mathematics for Recommendation Systems
Duration: (2 weeks - intermediate level)- Building Collaborative Filtering Models
Duration: (3 weeks - intermediate level)- Personalized Marketing and Recommendations
Duration: (3 weeks - intermediate level)- Advanced Techniques in Recommendation Systems
Duration: (4 weeks - advanced level)- Building Recommendation Systems in Python
Duration: (4 weeks - advanced level)- Evaluation Metrics for Recommendation Systems
Duration: (4 weeks - advanced level)
Development / Vocational Training
focuses on equipping learners with practical skills and knowledge essential for various trades and professions. This category aims to bridge the gap between education and employment by providing hands-on training and experiential learning opportunities.
- Digital Marketing
Duration: (4 weeks)- Marketing Analytics
Duration: (6 weeks)- AI for Business Leaders
Duration: (1 week)- Digital Transformation for Business Leaders
Duration: (1 week)- Data Science for Business Leaders
Duration: (4 weeks)- Generative AI for Business Leaders
Duration: (3 weeks)- Cloud Computing for Business Leaders
Duration: (4 weeks)- Business Analytics
Duration: (4 weeks)- Cybersecurity for Business Leaders
Duration: (1 week)- Machine Learning for Trading
Duration: (4 weeks)- Social Media Marketing
Duration: (4 weeks)- Search Engine Optimization
Duration: (4 weeks)- Blockchain Development
Duration: (3 weeks)- Search Engine Marketing
Duration: (4 weeks)- Computer Literacy Fundamentals
Duration: (4 weeks)- AI in Healthcare
Duration: (4 weeks)- AI in Finance
Duration: (4 weeks)- AI in Marketing
Duration: (4 weeks)
English Language
aims to enhance communication skills in spoken and written English, improve vocabulary, grammar, and pronunciation.
- English Language Mastery - Elementary Level (A2)
Duration:(10 weeks – beginner level)- Intermediate English- Building Language Skills (B1)
Duration:(12 weeks – intermediate level)- Business English for Professionals (B2-C1)
Duration:(8 weeks – upper intermediate to advanced level)- IELTS & TOEFL Exam Preparation
Duration:(6 weeks – intermediate to advanced level)
Registration Information
Enrolling in a PSTI course is simple and straightforward:
- 1. Choose Your Course:
Use our search functionality to find the perfect course for you.- 2. Check Prerequisites:
Ensure you meet any prerequisites listed in the course description.- 3. Select a Start Date:
Choose from available start dates that fit your schedule.- 4. Online Application:
Complete the online application form, providing necessary personal and educational information.- 5. Document Submission:
Upload any required documents (e.g., certificates, transcripts) as specified in the application process.- 6. Payment:
Pay the course fee through our secure online payment system. Installment options may be available for certain courses.- 7. Confirmation:
Once your application and payment are processed, you'll receive a confirmation email with further instructions.- 8. Orientation:
Attend a brief online or in-person orientation session before your course begins.
For any questions about the registration process, please contact our admissions team at admissions@psti.edu.sa or call +966 12 607 4945.
Note: Some popular courses fill up quickly. We recommend registering at least 2-3 weeks before the start date to secure your spot.