Introduction to Artificial Intelligence (AI)
Accredited by Averest
350 Learners
INTERMEDIATE
Artificial Intelligence (AI) is reshaping industries by enabling machines to learn from data, automate processes, and make decisions that enhance business operations and everyday life. This 5-day Introduction to AI training provides participants with foundational knowledge of AI concepts, techniques, and applications across different sectors. Through theoretical lessons and hands-on activities, participants will gain a deeper understanding of machine learning, natural language processing, computer vision, and ethical considerations in AI development.
Accreditation With .
Introduction to Artificial Intelligence (AI) Overview
Introduction to Artificial Intelligence (AI) is a comprehensive 5-day training program designed to equip participants with a solid understanding of AI concepts, techniques, and applications. Through theoretical lessons and hands-on activities, participants will gain insights into machine learning, deep learning, natural language processing, computer vision, and ethical considerations in AI development.
What You Will Learn ?
- Understand the core concepts and techniques that power modern artificial intelligence systems.
- Explore different branches of AI, including machine learning, deep learning, and natural language processing.
- Learn how to implement basic AI models and understand their real-world applications across industries.
- Understand the ethical and societal implications of AI and the challenges in AI deployment.
- Stay informed about the future trends in AI technology and its impact on various sectors.
Course Key Features
- Comprehensive Coverage
- Hands-on Learning
- Expert Instructors
- Industry-Relevant Content
- Flexible Learning Options
Training Options
In Class
- 5-days in-class training
- Pre-course consultation
- Highly experienced instructor(s)
- Post-course follow-up
- All related Averest's quality control tools & required stationary
- 5 or 4 stars training venue
- Pay later by invoice -OR- at the time of checkout by credit card
- Continuous learner assistance and support
Online
- 5-days instructor-led training
- Pre-course consultation
- Highly experienced instructor(s)
- Post-course follow-up
- Pay later by invoice -OR- at the time of checkout by credit card
- Continuous learner assistance and support
Corporate Training
- A highly customized Corporate Training service designed exclusively for corporate employees and teams. Our training programs are meticulously planned and executed to fill knowledge and experience gaps, helping organizations achieve their business goals. With a comprehensive assessment and tailored curriculum, our experienced trainers deliver modules in areas of accreditation requirements as well as complementary practices such as leadership, communication, and technology adoption. Official certification exam voucher is provided upon completion, ensuring professional growth and measurable results. Contact us now to partner with Averest Training in order to bridge the gaps in your workforce and unlock the full potential of your team.
Schedules
Filters:
2025-Aug
04 - 08
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Aug
11 - 15
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Sep
01 - 05
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Sep
08 - 12
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Oct
06 - 10
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Oct
13 - 17
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Nov
10 - 14
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Nov
17 - 21
London, GB London, United Kingdom
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
2025-Dec
08 - 12
Online
5 Days,
09:00 - 13:00,UTC +03:00,
$ 3500.00
$ 4000.00
2025-Dec
15 - 19
Istanbul, TR Istanbul, Turkey
5 Days,
09:00 - 13:00,UTC +03:00,
$ 4950.00
$ 5200.00
Introduction to Artificial Intelligence (AI) Training Cirriculum
Eligibility .
This course is designed for:
• Business Leaders and Entrepreneurs: Individuals exploring the potential of AI in transforming their industries.
• Developers and IT Professionals: Professionals seeking to understand AI’s foundational principles and implement AI-based solutions.
• Data Scientists and Analysts: Individuals aiming to deepen their understanding of AI and its applications in data-driven decision-making.
• Consultants and Advisors: Professionals advising companies on AI integration and digital transformation strategies.
• Tech Enthusiasts and Innovators: Individuals curious about the potential of AI and interested in learning the basics of AI systems.
Pre-requisites .
To fully benefit from this Introduction to AI training, participants should have a basic understanding of programming concepts and familiarity with data analysis techniques. While prior experience with AI is not required, a foundational knowledge of mathematics, particularly statistics and linear algebra, would be beneficial. Additionally, a curious mindset and a willingness to learn new technologies are essential for success in this program.
Introduction to Artificial Intelligence (AI) Course Content .
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Module 1 Fundamentals of Artificial Intelligence.- What is AI? Overview of artificial intelligence and its evolution.
- Key AI concepts: Intelligence, learning, and decision-making in machines.
- Different types of AI: Narrow AI vs. General AI, and current trends.
- Major branches of AI: Machine learning, deep learning, natural language processing, and computer vision.
- AI applications: Healthcare, finance, autonomous vehicles, robotics, and more.
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Module 2 Machine Learning and Data-Driven AI.- What is machine learning? Key concepts and how it differs from traditional programming.
- Types of machine learning: Supervised, unsupervised, and reinforcement learning.
- The machine learning process: Data collection, training, validation, and testing.
- Introduction to algorithms: Linear regression, decision trees, and k-means clustering.
- The importance of data: Data quality, preprocessing, and feature engineering.
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Module 3 Deep Learning and Neural Networks.- Introduction to deep learning: Understanding neural networks and their architecture.
- Types of neural networks: Feedforward networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs).
- How deep learning mimics the human brain to recognize patterns.
- Key applications of deep learning: Image recognition, natural language processing, and recommendation systems.
- Training neural networks: Optimization techniques, backpropagation, and activation functions.
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Module 4 AI in Natural Language Processing (NLP) and Computer Vision.- Introduction to Natural Language Processing (NLP): Understanding language models, tokenization, and text analysis.
- Key NLP tasks: Text classification, sentiment analysis, machine translation, and chatbots.
- Computer Vision: Image processing, object detection, and facial recognition.
- AI-powered applications in NLP and Computer Vision: Virtual assistants, image tagging, and autonomous driving.
- Combining NLP and Computer Vision for complex AI applications.
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Module 5 Ethics, Challenges, and Future Trends in AI.- Ethical considerations in AI: Bias in AI systems, privacy concerns, and algorithmic fairness.
- Legal and regulatory challenges: Data protection, liability, and the impact of AI on employment.
- AI governance: Ensuring transparency, accountability, and responsible AI usage.
- Emerging trends in AI: Explainable AI (XAI), AI in healthcare, autonomous systems, and AI ethics.
- The future of AI: Human-AI collaboration, AI’s impact on society, and the road to General AI.
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