Opleiding: AI+ Telecommunications Practitioner™

Formerly known as AI+ Telecommunications™

AI in Telecommunications: Redefining the Future of Seamless Connectivity

• Foundational Insights: Explore AI technologies enhancing telecom networks, from predictive maintenance to network optimization and customer service automation. 
• Advanced Applications: Master AI in 5G deployment, anomaly detection, and real-time resource management for improved network performance. 
• Specialized Expertise: Learn AI solutions for cybersecurity, fraud detection, and efficient IoT integration to ensure network reliability. 
• Capstone Project: Develop AI-driven solutions for real-world telecom challenges like network optimization and intelligent service delivery. 

Telecom Engineers: Professionals looking to integrate AI for network optimization, 5G deployment, and predictive maintenance.

Data Analysts: Individuals eager to apply AI in data processing and analysis within the telecom industry.

Network Security Experts: Those interested in leveraging AI to enhance telecom infrastructure security and threat detection.

AI Enthusiasts: People with a passion for AI looking to apply it in the rapidly evolving telecommunications sector.

Project Managers: Professionals overseeing telecom projects who wish to understand AI’s impact on efficiency and innovation in telecom.

• AI-Powered Telecom InnovationLearn to integrate AI technologies to enhance telecom services, from 5G to cybersecurity.
• Practical, Hands-On LearningEngage in real-world projects, simulating AI applications across various telecom domains.
• Cutting-Edge Industry RelevanceStay ahead of emerging trends like AI-driven network optimization and IoT integration.
• Comprehensive Skill DevelopmentGain expertise in data engineering, AI algorithms, and predictive maintenance for telecom infrastructure.
• Ethical & Strategic InsightsExplore ethical considerations in AI deployment and its impact on the telecom industry.

• 1.1 AI Fundamentals in Telecommunications
• 1.2 AI Technologies for Telecom
• 1.3 Emerging Trends in AI for Telecommunications
• 1.4 Case Study
• 1.5 Hands-on

• 2.1 Foundation of Telecom Data Engineering
• 2.2 Designing and Managing the Telecom Data Pipeline
• 2.3 Data Engineering tools and Technology
• 2.4 Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery
• 2.5  Hands on Exercise

• 3.1 Introduction to 5G
• 3.2 AI Applications in 5G
• 3.3 Enhancing Network Management with AI
• 3.4 Case Study
• 3.5 Hands-on

• 4.1 Predictive Network Management
• 4.2 Performance Enhancement Techniques
• 4.3 Traffic Management Strategies
• 4.4 Case Study
• 4.5 Hands-on

• 5.1 Security Threats in Telecom
• 5.2 AI Security Solutions
• 5.3 Advanced Security Frameworks
• 5.4 Case Study
• 5.5 Hands-on

• 6.1 Personalized Customer Service
• 6.2 Service Quality Improvement
• 6.3 Enhancing Customer Engagement
• 6.4 Case Study
• 6.5 Hands-on

• 7.1 IoT Fundamentals
• 7.2 Managing IoT Security Challenges
• 7.3 Enhancing Operational Efficiency with IoT
• 7.4 Case Study
• 7.5 Hands-on

• 8.1 Transitioning to AI-driven NOCs
• 8.2 Automating escalations and root cause analyses
• 8.3 Closed-loop automation with AI and SDN integration
• 8.4 Designing AI-ready network architectures
• 8.5 Change management strategies for AI rollouts in operations
• 8.6 Case Study: Implementation of AI assistants in NOCs

• 9.1 Ethical Implications of Using Artificial Intelligence
• 9.2 Responsible Deployment Practices
• 9.3 Emerging Trends and Challenges
• 9.4 Case Study
• 9.5 Hands-on

• TensorFlow
• Keras
• Matplotlib

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.