AI Applications in Telecommunications and Network Optimization Training Course

Module 1: Foundations of AI in Telecommunications

• The evolution of networks: From manual configuration to Autonomous Networks (AN)
• Identifying high-impact use cases across the RAN, Core, and Management layers
• Overview of the Telco AI stack: Data collection, feature engineering, and MLOps
• Understanding the role of Big Data and telemetry in driving network intelligence
• Regulatory and standardization landscape: 3GPP, ETSI ENI, and O-RAN Alliance
• Practical session: Conducting a network audit to identify priority areas for AI integration and automation

Module 2: Machine Learning for Traffic Forecasting and Capacity Planning

• Time-series analysis for predicting peak hour traffic and bandwidth demands
• Using Regression and LSTM models for multi-horizon load forecasting
• Correlation analysis between user density, mobility patterns, and network load
• Automated capacity planning: Optimizing hardware expansion and software licensing
• Handling seasonal trends and special events in network demand modeling
• Practical session: Training an LSTM model to forecast traffic loads based on historical cell site telemetry

Module 3: AI-Driven Radio Access Network (RAN) Optimization

• Automated Parameter Tuning: Optimizing tilt, power, and handover thresholds
• Interference management using AI-driven clustering and coordination algorithms
• Beamforming optimization in Massive MIMO systems via machine learning
• Improving coverage and capacity (CCO) through self-organizing network (SON) principles
• Real-time signal quality (SINR) prediction for proactive link adaptation
• Practical session: Simulating a RAN environment to optimize handover parameters for reduced call drops

Module 4: Reinforcement Learning for Dynamic Resource Allocation

• Introduction to Reinforcement Learning (RL) for real-time network decision-making
• Dynamic Spectrum Access (DSA): Using AI to share frequencies in multi-operator environments
• Automated Power Control: Balancing energy efficiency with signal coverage
• User scheduling and buffer management using Q-Learning and Deep Q-Networks (DQN)
• Adapting to changing environments: RL for mobility management and load balancing
• Practical session: Implementing a basic RL agent for dynamic channel allocation in a wireless cell

Module 5: Automated Fault Detection and Predictive Maintenance

• Anomaly detection in network logs: Identifying hardware and software failures
• Proactive maintenance: Predicting equipment failure before it impacts service
• Root Cause Analysis (RCA): Using AI to navigate complex alarm correlation chains
• Automated ticket generation and intelligent dispatching for field operations
• Vision-based inspection: Using AI to detect physical damage in tower infrastructure
• Practical session: Building an anomaly detection model to identify unusual KPI deviations in base station data

Module 6: AIOps for Core Network Automation

• Implementing AIOps (Artificial Intelligence for IT Operations) in the Telco Cloud
• Virtual Network Function (VNF) placement and scaling optimization using AI
• Automated orchestration of Software Defined Networks (SDN) through predictive triggers
• Performance monitoring in Network Function Virtualization (NFV) environments
• Reducing Mean Time to Repair (MTTR) through automated configuration recovery
• Practical session: Designing an automated scaling policy for virtual network functions based on predicted load

Module 7: AI in 5G/6G Network Slicing and Quality of Service

• Intelligent Network Slicing: Automating slice creation, monitoring, and management
• Guaranteeing SLA requirements for URLLC, eMBB, and mMTC through AI controllers
• Traffic classification and prioritization for diverse application requirements
• AI-driven admission control: Protecting network integrity during congestion
• Preparing for 6G: The role of AI in sub-terahertz and holographic communications
• Practical session: Configuring an AI-driven network slice manager to maintain QoS for a high-priority video stream

Module 8: Customer Experience Management and Churn Prediction

• Modeling Subscriber Behavior: Identifying patterns leading to service cancellation
• Sentiment analysis of customer support logs and social media for brand health
• Personalized marketing: AI-driven cross-selling and upselling of data packages
• Quality of Experience (QoE) modeling: Mapping network KPIs to user satisfaction
• Automated customer support: Using telco-specific chatbots for troubleshooting
• Practical session: Developing a churn prediction model to identify high-risk subscribers using usage data

Module 9: AI for Network Security and Fraud Detection

• Detecting Distributed Denial of Service (DDoS) attacks in real-time using ML
• Fraud detection: Identifying SIM-boxing, roaming fraud, and subscription bypass
• Automated vulnerability scanning and patching of network elements
• Enhancing privacy: Using federated learning for data processing at the edge
• Behavioral biometrics for securing internal network management access
• Practical session: Implementing a machine learning classifier to detect fraudulent calling patterns

Module 10: Operationalizing AI and Future Trends in Telecom

• MLOps for Telco: Versioning models and monitoring drift in a live network
• Integrating AI with legacy Operation Support Systems (OSS) and Business Support Systems (BSS)
• Ethical AI: Addressing transparency, data privacy, and bias in network management
• The shift toward "Zero-Touch" networks: A roadmap for full autonomous operation
• Exploring the role of Generative AI in network design and troubleshooting
• Practical session: Developing a business case and strategic roadmap for deploying a Zero-Touch network pilot

Requirements:

• Participants should be reasonably proficient in English.
• Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588