An Interactive 5-Day Training Course
Principles and Practices of Artificial Intelligence
Mastering AI: From Theory to Implementation
Course Overview
In this dynamic and cutting-edge training course, we embark on a journey to explore the fundamental principles and innovative practices that underpin the realm of artificial intelligence (AI). As AI continues to revolutionize industries and redefine the way we interact with technology, it's essential to grasp the foundational concepts that drive its development and deployment. Throughout this training course, we will delve into the core principles of machine learning, neural networks, natural language processing, computer vision, and more. By combining theoretical understanding with hands-on application, you will gain the knowledge and skills necessary to navigate the intricate landscape of AI confidently. Whether you're a seasoned professional looking to expand your expertise or an aspiring enthusiast eager to delve into the world of AI, this training course offers a comprehensive exploration that will empower you to harness the potential of artificial intelligence effectively. Join us as we unlock the secrets of AI and pave the way for a future shaped by innovation and intelligence.
This GLOMACS Principles and Practices of Artificial Intelligence training course will highlight:
- Foundational Principles
- Machine Learning Algorithms
- Neural Networks and Deep Learning
- Ethical Considerations
- Practical Applications
- Future Trends and Innovations
- Interdisciplinary Perspectives
Training Objectives
The Principles and Practices of Artificial Intelligence training course aims to equip participants with a comprehensive understanding of AI fundamentals and practical skills necessary for real-world applications. Through this training course, participants will learn to apply AI techniques across various domains, understand ethical considerations, and stay updated on the latest advancements. By completing hands-on projects and collaborating with peers, participants will develop critical thinking, problem-solving, and communication skills essential for success in AI-related roles. Ultimately, the training course seeks to prepare participants for career advancement and empower them to make meaningful contributions to the field of artificial intelligence.
At the end of this training course, you will learn to:
- Understand Fundamental Concepts
- Master Practical Skills
- Apply AI Techniques
- Explore Advanced Topics
- Ethical and Responsible AI
- Collaborate and Communicate
- Critical Thinking and Problem-Solving
- Prepare for Career Advancement
Who should Attend?
The training course is tailored for a diverse range of professionals who seek to deepen their understanding of AI principles and applications.
This GLOMACS Principles and Practices of Artificial Intelligence training course is suitable to a wide range of professionals but will greatly benefit:
- Software Engineers and Developers
- Data Scientists and Analysts
- Business Leaders and Managers
- Researchers and Academics
- Entrepreneurs and Start-up Founders
- Professionals in Non-Technical Roles
- Anyone with a Curiosity for AI
About Saudi Glomacs
At Saudi GLOMACS, we specialize in delivering world-class training courses in Saudi Arabia and across various international locations. Our training courses are tailored to meet the unique demands of Saudi Vision 2030 and the Human Capability Development Program, focusing on empowering Saudi citizens and enhancing workforce skills. We offer diverse courses spanning leadership, management, engineering, and technical disciplines to cultivate expertise and drive professional growth. Our flexible learning options—whether in-person, online, or in-house—ensure accessibility and convenience for individuals and organizations alike.
With over 30+ years of experience through the GLOMACS global network, we are committed to delivering innovative, results-driven training solutions. Our expert instructors combine industry knowledge with dynamic teaching methods, fostering practical skill development and long-term career success. By choosing Saudi GLOMACS, you're investing in personal excellence and contributing to the Kingdom’s sustainable economic growth and vision-driven transformation.
Training Outline
DAY 1: Introduction to AI Fundamentals
- Definition of AI
- Historical overview
- AI applications across industries
- Basic concepts of machine learning
- Supervised, unsupervised, and reinforcement learning
- Examples of machine learning applications
- Basics of Python programming language
- Introduction to libraries such as NumPy, Pandas, and Matplotlib for data manipulation and visualization
DAY 2: Machine Learning Algorithms
- Theory behind linear regression
- Implementation of linear regression for prediction tasks
- Logistic regression for classification tasks
- Introduction to decision trees
- Ensemble methods: Random Forests
- Practical examples and applications
- Hands-on exercises implementing linear regression, logistic regression, decision trees, and random forests using Python libraries
DAY 3: Neural Networks and Deep Learning
- Basics of neural networks architecture
- Activation functions, layers, and optimization algorithms
- Feedforward and backpropagation algorithms
- Convolutional Neural Networks (CNNs) for image recognition
- Recurrent Neural Networks (RNNs) for sequential data
- Transfer learning and pre-trained models
- Building and training neural networks for image classification and sequence prediction tasks using TensorFlow or PyTorch
DAY 4: Advanced Topics in AI
- Introduction to reinforcement learning concepts
- Q-learning, policy gradients, and deep reinforcement learning
- Applications of reinforcement learning in robotics, gaming, and autonomous systems
- Basics of NLP techniques
- Text preprocessing, tokenization, and feature extraction
- Applications of NLP in sentiment analysis, language translation, and chatbots
- Implementing reinforcement learning algorithms and NLP techniques on practical examples
DAY 5: Ethical Considerations and Practical Applications
- Bias and fairness in AI
- Ethical guidelines and frameworks
- Responsible AI practices
- Case studies and examples of AI implementation in various industries
- Challenges and opportunities in deploying AI solutions
- Participants present their capstone projects, showcasing their understanding and application of AI principles and techniques
- Open discussion and feedback session
Certificates
- On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
- Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance
Accreditation
GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.learningmarket.org.
All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.
Providers and Associations
PetroKnowledge
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