AI+ Telecommunications™ - eLearning (exam included)
448,00 EUR
- 50 hours
AI+ Telecommunications™ explores how artificial intelligence is transforming the telecom industry — from network optimization and predictive maintenance to customer experience, security, and IoT integration. Learners will master the tools, techniques, and ethical considerations needed to leverage AI in real-world telecom environments.
Key Features
Language
Course and material in English
Level
Beginner level
Access
1 year access to the platform 24/7
30 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Tools You’ll Explore
TensorFlow, Keras, Matplotlib
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Shaping the Next Era of Intelligent Connectivity
Discover how AI transforms telecom operations through predictive maintenance, network optimization, and automated customer service.
Learning Outcomes
At the end of this course, you will be able to:
Optimize
Apply AI and machine learning to optimize telecom networks and 5G performance.
Prediction
Use AI for predictive maintenance, anomaly detection, and intelligent automation
Customer
Enhance customer experience through AI-driven analytics and service optimization.
Security
Strengthen network security with AI-powered threat and fraud detection tools.
Solutions
Design and deploy real-world AI solutions for telecom innovation and efficiency.
Course timeline
Introduction to AI in Telecommunications
Lesson 1
- Learn the fundamentals of AI and its applications in telecom.
- Explore key AI technologies transforming network operations.
- Understand emerging trends shaping the future of telecom AI.
- Includes: Case study + hands-on activity
Data Engineering for Telecom AI
Lesson 2
- Build a foundation in telecom data engineering principles.
- Design and manage end-to-end telecom data pipelines.
- Work with leading data tools and platforms.
- Case Study: SK Telecom’s Big Data Analytics with Metatron Discovery.
- Includes: Practical hands-on exercise.
AI for 5G Networks
Lesson 3
- Understand 5G architecture and its integration with AI.
- Explore AI-driven solutions for 5G deployment and management.
- Learn to enhance network control, reliability, and performance with AI.
- Includes: Case study + hands-on activity.
AI in Network Optimization
Lesson 4
- Apply predictive analytics for proactive network management.
- Learn performance tuning and traffic optimization strategies.
- Discover AI techniques to improve network stability and efficiency.
- Includes: Case study + hands-on activity.
AI in Network Security
Lesson 5
- Identify major telecom security threats and vulnerabilities.
- Explore AI-powered frameworks for threat detection and prevention.
- Learn advanced methods for securing network infrastructures.
- Includes: Case study + hands-on exercise.
Enhancing Customer Experience with AI
Lesson 6
- Deliver personalized and intelligent customer support using AI.
- Apply AI for quality-of-service improvement and issue prediction.
- Design customer engagement models powered by data analytics.
- Includes: Case study + hands-on activity.
IoT Integration in Telecommunications
Lesson 7
- Understand IoT fundamentals and connectivity frameworks.
- Tackle IoT-related security and data management challenges.
- Use AI to improve IoT efficiency and scalability within telecom systems.
- Includes: Case study + hands-on activity.
AI-Enabled Network Operations Centers (NOCs)
Lesson 7
- Transition from traditional to AI-driven network operations centers.
- Automate escalation workflows and root cause analysis with AI.
- Learn closed-loop automation using AI and SDN integration.
- Design intelligent network architectures for real-time optimization.
- Includes: Case study + hands-on lab.
Ethics and Responsible AI in Telecommunications
Lesson 7
- Examine ethical considerations of AI use in telecom.
- Learn responsible AI deployment practices and governance.
- Discuss emerging challenges and regulatory trends.
- Includes: Case study + hands-on reflection activity.
Capstone Project
Lesson 7
- Apply the full range of course concepts to a real-world telecom scenario.
- Design and implement an AI-powered solution (e.g., network optimization, customer experience enhancement, or predictive maintenance).
- Present project documentation and performance results.
Industry Outlook
- The AI in telecommunications market, valued at $3.34 billion in 2024, is projected to surge to $58.74 billion by 2032, with a CAGR of 43.3% (Source: Fortune Business Insights).
- AI technologies are revolutionizing telecom operations by enhancing network performance, minimizing latency, and enabling predictive maintenance for greater reliability.
- AI-powered chatbots and virtual assistants improve customer engagement, streamline support, and help reduce churn.
- Intelligent AI systems optimize traffic flow, manage network resources, and enable seamless 5G connectivity.
- AI-driven cybersecurity solutions play a crucial role in identifying, preventing, and mitigating cyber threats to safeguard telecom infrastructures.
Who Should Enroll in this Program?
Telecom Engineers
Data Analysts
Network Security Specialists
Telecom Project Managers
More Details
Pre-requisites
- Basic knowledge of telecommunications (networks, 5G, IoT)
- Familiarity with programming languages (preferably Python)
- Understanding of data analysis techniques
- Some exposure to AI or machine learning is beneficial
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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