A Highly Interactive Training Course On
Fundamentals of Artificial Intelligence (AI): From Theory to Practice
Building AI Knowledge: Principles, Techniques, and Real-World Applications
Upcoming Sessions
Course Introduction
Artificial Intelligence (AI) is revolutionizing industries, economies, and everyday life. As AI systems grow more capable, understanding the fundamentals of AI is essential for individuals and businesses to stay ahead in a rapidly evolving landscape. This course takes a comprehensive approach, starting with the foundational theories of AI and leading into practical applications, case studies, and hands-on projects. By the end of the course, participants will be equipped to understand how AI works and how to implement it in various real-world scenarios.
The Fundamentals of Artificial Intelligence (AI) training course will cover the history and evolution of AI, introduce key AI techniques such as machine learning, deep learning, and natural language processing, and provide insights into AI’s societal and ethical implications. Participants will also gain hands-on experience with AI development tools, building foundational skills to apply AI in professional and personal contexts.
Training Objectives
By the end of this training course, participants will be able to:
- Understand the core principles and theories behind Artificial Intelligence
- Recognize the key techniques in AI, such as machine learning, deep learning, and neural networks
- Apply machine learning techniques to solve practical business and research problems
- Explore AI tools and platforms used to develop AI applications
- Understand the societal impact, ethical considerations, and challenges of AI
- Gain a solid foundation to pursue further study or careers in AI and data science
Training Methodology
This COPEX training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
Who should Attend?
This COPEX training course is suitable to a wide range of professionals but will greatly benefit:
- IT professionals, software developers, and engineers looking to build their AI skills
- Business leaders and managers seeking to understand the potential of AI in driving innovation and efficiency
- Data scientists, analysts, and statisticians who wish to deepen their knowledge in AI and machine learning
- Students, graduates, or professionals considering a career in AI or data science
- Anyone with an interest in AI and its practical applications, regardless of prior technical knowledge
Course Outline
- Definition and Types of AI: Narrow AI (task-specific), General AI (human-like), and the theoretical concept of Superintelligent AI.
- Historical Evolution of AI: From early symbolic AI to the modern advancements in machine learning and deep learning
- AI in Practice: How AI is transforming industries, from healthcare and finance to transportation and retail
- Core AI Techniques: Machine learning, neural networks, natural language processing (NLP), and AI for robotics and automation
- AI in the Real World: Case studies of successful AI applications, including challenges encountered and lessons learned
- Overview of Machine Learning: Explanation of supervised, unsupervised, and reinforcement learning
- Key Machine Learning Algorithms: Linear regression, decision trees, random forests, support vector machines, and clustering
- Data’s Role in AI: The importance of data in AI and machine learning, covering data collection, preprocessing, and feature engineering
- Feature Engineering: Techniques to create relevant features for machine learning models, helping improve model accuracy
- Hands-on Machine Learning: Participants will apply machine learning algorithms using real-world datasets, building simple models for classification, regression, and clustering
- Neural Networks: Understanding the architecture of neural networks, from input layers to output layers, and how information is passed through hidden layers
- Training Neural Networks: Explanation of backpropagation and how neural networks "learn" by adjusting weights based on errors
- Deep Learning: Introduction to deep learning and why it is considered one of the most transformative AI technologies
- Convolutional Neural Networks (CNNs): How CNNs are designed to process visual data, like images and videos, and their applications in computer vision
- Practical Deep Learning: Participants will use deep learning libraries like TensorFlow or Keras to build a simple neural network or CNN for image classification
- Introduction to NLP: How AI systems analyze and understand text and speech data
- Applications of NLP: Sentiment analysis, machine translation, chatbots, and speech recognition
- NLP Techniques: Tokenization, named entity recognition, and part-of-speech tagging, as well as advanced models like Word2Vec and Transformer models (BERT, GPT)
- AI Development Tools: Overview of popular AI development frameworks, such as TensorFlow, PyTorch, and Scikit-learn
- AI as a Service: How companies are using cloud-based AI services (Google AI, Microsoft Azure AI, IBM Watson) to accelerate AI projects
- Practical NLP and Tool Application: Participants will build an NLP-based chatbot or use AI tools to solve a real-world problem (e.g., analyzing social media sentiment)
- Ethical Implications of AI: Bias in AI algorithms, privacy issues, and the potential for AI to reinforce societal inequalities
- AI and the Future of Work: Exploring the impact of AI on job automation, future job markets, and the skills required in an AI-driven economy
- AI Governance: Regulatory challenges in AI and the role of governments in establishing policies and standards for AI development
- The Future of AI: An exploration of emerging AI trends, such as AI in quantum computing, AI for healthcare innovation, and AI-driven automation
- Challenges of Scaling AI: Issues with data, computing power, interpretability, and ensuring that AI systems remain safe, fair, and transparent
- Final Project Review and Course Wrap-Up: Participants will revisit the projects they worked on during the course, discuss key takeaways, and explore how to continue learning AI
Providers and Associations
Certificates
- Copex Certificate of Attendance will be provided to delegates who attend and complete the course.
Material published by Copex shown here is copyrighted. All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.
COPEX Training is your gateway to professional growth, with over 20 years of experience turning potential into success. Each year, we deliver over 1,000 courses in 50+ countries, earning a stellar 98% satisfaction rate. Trusted by global giants like BP, the United Nations, and HSBC, we partner with top certification bodies to provide career-focused training that empowers individuals and drives organizational breakthroughs. Our mission? To transform the way professionals learn and grow in today’s fast-changing industries. Through expert insights, cutting-edge methods, and hands-on approaches, we equip you with the skills and confidence to tackle challenges, seize opportunities, and thrive in your career.
Led by a passionate leadership team and supported by a network of world-class trainers, COPEX Training connects professionals worldwide with life-changing opportunities. We are committed to excellence, ensuring every participant leaves with the tools, expertise, and confidence to conquer an ever-evolving world.
Frequently Asked Questions
This FAQ section provides quick answers to the most common questions about our services, procedures, and policies. We aim to make your experience with us as straightforward as possible. For further assistance, our support team is ready to help.
Enhanced Skills: Develop in-demand skills and knowledge in your chosen field.
Career Advancement: Improve your career prospects and increase your earning potential.
Increased Confidence: Gain confidence in your abilities and enhance your professional presence.
Networking Opportunities: Connect with other professionals and industry experts.
Improved Job Performance: Enhance your productivity, efficiency, and job satisfaction.
Personal Growth: Develop valuable personal and professional skills that can benefit you in all areas of life.
Upon successful registration, processing window will take not more than 24 hours from the time of registration. An email including the registration confirmation, invoice and joining instructions will be sent to the provided email address.
Published training course fees are inclusive of the training venue, training manual, writing materials, lunch and coffee breaks with refreshments over the entire duration of the training course.
The training course fee can be settled by either:
- Bank transfer
- Credit Card
Our training courses will run for 5 hours per day. The standard daily timing is from 8:30 am – 3:30 pm including the coffee/tea breaks and lunch.
Our training courses courses are being held at five-star hotels in prime and iconic destinations across the globe. Cities such as Amsterdam, Barcelona, Dubai, Geneva, Istanbul, Kuala Lumpur, London, Houston, New York, Paris, Vienna, Zurich, etc.
Our cancellation policy varies depending on the circumstances presented. Generally, cancellations must be initiated in formal writing at least 14 days prior to the commencement date of the training course. Further, the option to shift an existing registration to another training course on a later date is possible. Otherwise, a full refund will be initiated.
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