The Artificial Intelligence Fundamentals course is designed to provide participants with a comprehensive introduction to the field of artificial intelligence (AI). Through a combination of theoretical concepts and practical applications, participants will gain a solid foundation in AI and its various subfields, including machine learning, natural language processing, computer vision, and robotics. We explore the use of AI in industry, and in particular in Telecoms and related sectors. By the end of the course, participants will have a strong grasp of AI concepts, techniques, and their real-world applications – particularly in telecoms. They will be equipped to pursue further studies in AI or apply their knowledge to diverse domains where AI plays a significant role. Prerequisites There are no specific prerequisites for this course. However, a basic understanding of programming concepts would be beneficial. Course Contents Introduction to Artificial Intelligence Machine Learning Natural Language Processing (NLP) Computer Vision Robotics and Autonomous Systems AI in Industry Ethics and Responsible AI
£95.00
The Artificial Intelligence Fundamentals course is designed to provide participants with a comprehensive introduction to the field of artificial intelligence (AI). Through a combination of theoretical concepts and practical applications, participants will gain a solid foundation in AI and its various subfields, including machine learning, natural language processing, computer vision, and robotics. We explore the use of AI in industry, and in particular in Telecoms and related sectors. By the end of the course, participants will have a strong grasp of AI concepts, techniques, and their real-world applications – particularly in telecoms. They will be equipped to pursue further studies in AI or apply their knowledge to diverse domains where AI plays a significant role. Prerequisites There are no specific prerequisites for this course. However, a basic understanding of programming concepts would be beneficial. Course Contents Introduction to Artificial Intelligence Machine Learning Natural Language Processing (NLP) Computer Vision Robotics and Autonomous Systems AI in Industry Ethics and Responsible AI
POA: Private Course
Key Topics Covered Foundations of closed-loop automation, including the Monitor–Analyse–Decide–Act model and its role in improving service reliability, efficiency, and SLA performance across network domains Telemetry and real-time observability, covering data collection from multi-domain sources, streaming analytics, and integration with assurance systems Analytics and decision-making frameworks, including rule-based and AI-driven policy engines for SLA monitoring, predictive analysis, and automated decision triggers Automated orchestration and remediation actions, enabling scaling, rerouting, reconfiguration, and fault recovery across RAN, Core, Transport, and Cloud End-to-end service assurance integration, including KPI monitoring, SLA enforcement, incident automation, and alignment with operational processes Learning Outcomes Apply closed‑loop automation frameworks (monitor → analyse → decide → act) Identify relevant telemetry/KPI sources for real‑time decisions Explain interplay between analytics engines and orchestration layers Understand assisted vs full closed‑loop implementation models." Target Audience Network automation engineers AI/analytics engineers supporting network assurance OSS platform architectsOperations teams responsible for service assurance and performance
POA: Private Course
Artificial intelligence (AI) is revolutionizing the telecoms industry and driving connected innovation to new heights. This comprehensive course delves into the role of AI in telecoms and explores its various applications, from machine learning to natural language processing, computer vision, and robotics. Participants will acquire a solid understanding of how AI is reshaping telecoms networks to be more efficient and sustainable, as well as its integration into evolving architectures to support cutting-edge use cases like the Metaverse, Intelligent Transportation, and Autonomous Driving. Moreover, the course highlights the synergy between AI and the Internet of Things (IoT), forming the powerful concept of AIoT (Artificial Intelligence of Things). Participants will discover how AI is catalyzing innovation across industries, enabling smarter cities, more efficient manufacturing processes, and personalized healthcare solutions. By the end of the program, participants will be well-versed in AI concepts and techniques, ready to apply their knowledge in telecoms and beyond. Whether pursuing further studies in AI or leveraging their expertise in diverse domains, participants will be equipped to navigate the exciting intersection of AI and telecoms innovation. In a rapidly evolving digital landscape, understanding the fundamentals of AI is essential for professionals in the telecoms industry. This course not only equips participants with practical skills in AI but also instills a deep appreciation for the ethical considerations and responsible implementation of AI technologies. With a focus on real-world applications and industry relevance, this course empowers participants to leverage AI to drive innovation, enhance efficiency, and unlock new possibilities in the dynamic realm of telecoms and connected innovation. Course Contents Introduction to Artificial Intelligence Machine Learning Applying Machine Learning to AI Natural Language Processing (NLP) Computer Vision Robotics and Autonomous Systems AI in Industry AIoT (Artificial Intelligence of Things) Ethics and Responsible AI
£980.00
