AI Engineering Training in the UK

This instructor-led, live training in the UK (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and
software developers who wish to build intelligent applications using AI and ML.By the end of this training, participants will be able to:

• Understand the advanced concepts and technologies behind AI and ML.
• Analyze and visualize data to inform AI/ML model development.
• Build, train, and deploy AI/ML models effectively.
• Create intelligent applications that can solve real-world problems.
• Evaluate the ethical implications of AI applications in various industries.

This instructor-led, live training in the UK (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led, live training in the UK (online or onsite) is aimed at beginner-level to intermediate-level AI engineers and software developers who wish to gain a foundational understanding of AI engineering principles and practices.By the end of this training, participants will be able to:

• Understand the core concepts and technologies behind AI and machine learning.
• Implement basic machine learning models using TensorFlow and PyTorch.
• Apply AI techniques to solve practical problems in software development.
• Manage and maintain AI projects using best practices in AI engineering.
• Recognize the ethical implications and responsibilities involved in developing AI systems.

This instructor-led, live training in the UK (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.By the end of this training, participants will be able to:

• Understand the history, principles, and impact of artificial intelligence.
• Identify and apply different machine learning algorithms.
• Manage and analyze data effectively for AI applications.
• Recognize the practical applications and limitations of AI in different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

Intelligent applications (aka intelligent apps and I-apps) are next generation apps that can continually learn from user interactions to provide better value and relevance to users.In this instructor-led, live training, participants will learn how to build intelligent mobile applications and bots.By the end of this training, participants will be able to:

• Understand the fundamental concepts of intelligent applications
• Learn how to use various tools for building intelligent applications
• Build intelligent applications using Azure, Cognitive Services API, Stream Analytics, and Xamarin

Audience

• Developers
• Programmers
• Hobbyists

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Cognitive computing refers to systems that encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, to name a few. A cognitive computing system is often comprised of multiple technologies working together to process in-memory 'hot' contextual data as well as large sets of 'cold' historical data in batch. Examples of such technologies include Kafka, Spark, Elasticsearch, Cassandra, and Hadoop.In this instructor-led, live training, participants will learn how Cognitive Computing compliments AI and Big Data and how purpose-built systems can be used to realize human-like behaviors that improve the performance of human-machine interactions in business.By the end of this training, participants will understand:

• The relationship between cognitive computing and artificial intelligence (AI)
• The inherently probabilistic nature of cognitive computing and how to use it as a business advantage
• How to manage cognitive computing systems that behave in unexpected ways
• Which companies and software systems offer the most compelling cognitive computing solutions

Audience

• Business managers

Format of the course

• Lecture, case discussions and exercises