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. 

Módulos

  • Module 1: Introduction to AI in Telecommunications:
    1. 1.1 AI Fundamentals in Telecommunications
    2. 1.2 AI Technologies for Telecom
    3. 1.3 Emerging Trends in AI for Telecommunications
    4. 1.4 Case Study
    5. 1.5 Hands-on
  • Module 2: Data Engineering for Telecom AI:
    1. 2.1 Foundation of Telecom Data Engineering
    2. 2.2 Designing and Managing the Telecom Data Pipeline
    3. 2.3 Data Engineering tools and Technology
    4. 2.4 Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery
    5. 2.5  Hands on Exercise
  • Module 3: AI for 5G Networks:
    1. 3.1 Introduction to 5G
    2. 3.2 AI Applications in 5G
    3. 3.3 Enhancing Network Management with AI
    4. 3.4 Case Study
    5. 3.5 Hands-on
  • Module 4: AI in Network Optimization:
    1. 4.1 Predictive Network Management
    2. 4.2 Performance Enhancement Techniques
    3. 4.3 Traffic Management Strategies
    4. 4.4 Case Study
    5. 4.5 Hands-on
  • Module 5: AI in Network Security:
    1. 5.1 Security Threats in Telecom
    2. 5.2 AI Security Solutions
    3. 5.3 Advanced Security Frameworks
    4. 5.4 Case Study
    5. 5.5 Hands-on
  • Module 6: Enhancing Customer Experience with AI:
    1. 6.1 Personalized Customer Service
    2. 6.2 Service Quality Improvement
    3. 6.3 Enhancing Customer Engagement
    4. 6.4 Case Study
    5. 6.5 Hands-on
  • Module 7: IoT Integration with Telecommunications:
    1. 7.1 IoT Fundamentals
    2. 7.2 Managing IoT Security Challenges
    3. 7.3 Enhancing Operational Efficiency with IoT
    4. 7.4 Case Study
    5. 7.5 Hands-on
  • Module 8: AI-Integrated Network Operations Centers (NOC):
    1. 8.1 Transitioning to AI-driven NOCs
    2. 8.2 Automating escalations and root cause analyses
    3. 8.3 Closed-loop automation with AI and SDN integration
    4. 8.4 Designing AI-ready network architectures
    5. 8.5 Change management strategies for AI rollouts in operations
    6. 8.6 Case Study: Implementation of AI assistants in NOCs
  • Module 9: Ethical Considerations in Artificial Intelligence:
    1. 9.1 Ethical Implications of Using Artificial Intelligence
    2. 9.2 Responsible Deployment Practices
    3. 9.3 Emerging Trends and Challenges
    4. 9.4 Case Study
    5. 9.5 Hands-on
  • Module 10: Capstone Project:

Herramientas de IA

  • TensorFlow
  • Keras
  • Matplotlib
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