AI+ Telecommunications™ - eLearning (exam included)

AI+ Telecommunications™ - eLearning (exam included)

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.

AI in Telecommunications: Shaping the Next Era of Intelligent Connectivity

• Core Foundations: Discover how AI transforms telecom operations through predictive maintenance, network optimization, and automated customer service.
• Advanced Applications: Gain expertise in applying AI to 5G deployment, anomaly detection, and real-time network resource management for superior performance.
• Specialized Skills: Build proficiency in AI-driven cybersecurity, fraud prevention, and seamless IoT integration to enhance network reliability.
• Capstone Experience: Design and implement AI-powered telecom solutions tackling real-world challenges such as intelligent network management and service innovation.

Why This Course Matters

• Bridge AI and telecom to deliver smarter, more resilient networks
• Learn practical applications — not just theory — in network management, 5G, security, and IoT
• Gain hands-on experience developing AI solutions tailored to telecom challenges
• Prepare for leadership in telecom innovation, driving service excellence and efficiency

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.

Key Features

• Course and material in English
• Beginner-Intermediate level (Category: AI+ Technical)
• 1 year access to the platform 24/7

• 30 hours of video lessons & multimedia resources
• 50 hours of study time recommendation
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake
• Certification of completion included
• Tools You’ll Explore: TensorFlow, Keras, Matplotlib

Learning Outcomes

• Apply AI and machine learning to optimize telecom networks and 5G performance.
• Use AI for predictive maintenance, anomaly detection, and intelligent automation.
• Enhance customer experience through AI-driven analytics and service optimization.
• Strengthen network security with AI-powered threat and fraud detection tools.
• Design and deploy real-world AI solutions for telecom innovation and efficiency.

Target Audience

• Telecom Engineers: Professionals aiming to apply AI for smarter network optimization, efficient 5G implementation, and predictive system maintenance.
• Data Analysts: Individuals seeking to utilize AI for advanced data processing, trend analysis, and performance insights in telecom operations.
• Network Security Specialists: Experts looking to strengthen telecom infrastructure through AI-powered security, threat detection, and anomaly monitoring.
• AI Practitioners & Enthusiasts: Learners eager to explore real-world AI applications in the fast-evolving telecommunications landscape.
• Project Managers: Leaders managing telecom initiatives who want to understand how AI drives innovation, automation, and operational excellence.

Prerequisites

• 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

Course Content

Module 1: Introduction to AI in Telecommunications

• 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

Module 2: Data Engineering for Telecom AI

• 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.

Module 3: AI for 5G Networks

• 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.

Module 4: AI in Network Optimization

• 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.

Module 5: AI in Network Security

• 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.

Module 6: Enhancing Customer Experience with AI

• 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.

Module 7: IoT Integration in Telecommunications

• 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.

Module 8: AI-Enabled Network Operations Centers (NOCs)

• 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.

Module 9: Ethics and Responsible AI in Telecommunications

• 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.

Module 10: Capstone Project

• 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.

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.

FAQ

Can I apply what I learn right away?

Yes — this course offers practical, hands-on training, enabling you to immediately apply AI and business intelligence skills in real telecom scenarios through case studies and a capstone project.

How is this course different from other AI and Telecommunications programs?

Unlike traditional courses, this program integrates AI, Python, and machine learning directly into telecom operations — emphasizing 5G, IoT, and predictive maintenance to prepare you for next-generation networks.

What kind of projects will I complete?

You’ll work on real-world projects focused on network optimization, predictive maintenance, Quality of Service (QoS), and resource management, leading up to a comprehensive telecom capstone project.

How is the course designed to ensure effective learning?

The course blends theory with extensive hands-on exercises, case studies, and projects, ensuring you can confidently apply AI solutions to real-world telecom challenges.

How does this course boost my career opportunities?

You’ll graduate with practical AI and telecom expertise — ready for roles in network operations, AI-driven 5G development, and intelligent telecom systems management.

How Can AVC Help Foster an AI-Ready Culture?

While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.