AI+ Telecommunications (AT-2501 Self-Paced Training)
Ziele der Schulung
This certification explores how artificial intelligence integrates with telecommunications to redefine connectivity — covering foundational AI technologies for telecom networks, advanced applications such as AI-enabled 5G deployment and real-time resource management, specialized expertise in cybersecurity, fraud detection, IoT integration, and culminates in a capstone project developing AI-driven solutions for real-world telecom challenges.
Zielgruppe Seminar
- Telecom Engineers seeking to integrate AI for network optimization, 5G deployment, and predictive maintenance.
- Data Analysts aiming to apply AI in data processing and analytics within the telecom industry.
- Network Security Experts interested in using AI to enhance telecom infrastructure security and threat detection.
- AI Enthusiasts looking to apply AI technologies in the telecommunications sector.
- Project Managers overseeing telecom projects who want to understand AI’s impact on efficiency and innovation.
Voraussetzungen
- Basic understanding of telecommunications concepts, including networks, 5G, and IoT.
- Familiarity with programming, preferably Python.
- Basic knowledge of data analysis techniques is beneficial.
- Prior experience with AI is helpful but not required.
Seminarinhalt
Module 1: Introduction to AI in Telecommunications
- 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
Module 2: Data Engineering for Telecom AI
- 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
Module 3: AI for 5G Networks
- 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
Module 4: AI in Network Optimization
- 4.1 Predictive Network Management
- 4.2 Performance Enhancement Techniques
- 4.3 Traffic Management Strategies
- 4.4 Case Study
- 4.5 Hands-on
Module 5: AI in Network Security
- 5.1 Security Threats in Telecom
- 5.2 AI Security Solutions
- 5.3 Advanced Security Frameworks
- 5.4 Case Study
- 5.5 Hands-on
Module 6: Enhancing Customer Experience with AI
- 6.1 Personalized Customer Service
- 6.2 Service Quality Improvement
- 6.3 Enhancing Customer Engagement
- 6.4 Case Study
- 6.5 Hands-on
Module 7: IoT Integration with Telecommunications
- 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
Module 8: AI-Integrated Network Operations Centers (NOC)
- 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
Module 9: Ethical Considerations in Artificial Intelligence
- 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
Module 10: Capstone Project
Hinweise
Prüfung und Zertifizierung
- Duration: 90 Minutes
- Passing Score: 70% (35/50)
- Format: Multiple-Choice Questions
- Delivery Method: Online, Self-Paced
Open Badge für dieses Seminar - Ihr digitaler Kompetenznachweis
Durch die erfolgreiche Teilnahme an einem Kurs bei IT-Schulungen.com erhalten Sie zusätzlich zu Ihrem Teilnehmerzertifikat ein digitales Open Badge (Zertifikat) – Ihren modernen Nachweis für erworbene Kompetenzen.
Ihr Open Badge ist jederzeit in Ihrem persönlichen und kostenfreien Mein IT-Schulungen.com-Konto verfügbar. Mit wenigen Klicks können Sie diesen digitalen Nachweis in sozialen Netzwerken teilen, um Ihre Expertise sichtbar zu machen und Ihr berufliches Profil gezielt zu stärken.
Übersicht: AI Certs Schulungen Portfolio
