Telecom Automation and Orchestration Course

Course Introduction

Telecom Automation and Orchestration Course is designed to equip telecommunications engineers, network architects, operations specialists, DevOps professionals, and ICT leaders with the advanced knowledge and practical skills required to automate, orchestrate, optimize, and manage modern telecommunications networks. As communication service providers transition toward software-defined, cloud-native, and highly programmable infrastructures, automation has become essential for improving service agility, reducing operational costs, accelerating service delivery, minimizing human error, and ensuring consistent network performance. This course provides comprehensive expertise in automation frameworks, orchestration platforms, network programmability, and intelligent operations across contemporary telecommunications environments.

The rapid deployment of 5G standalone networks, Open RAN, Network Function Virtualization (NFV), Software-Defined Networking (SDN), edge computing, cloud-native infrastructures, and multi-cloud environments has significantly increased network complexity. Manual configuration and traditional operational processes are no longer sufficient to support dynamic service demands. Participants will learn how intelligent automation, orchestration platforms, Infrastructure as Code (IaC), intent-based networking, and artificial intelligence are transforming network deployment, lifecycle management, service assurance, and operational excellence across telecommunications ecosystems.

Throughout this course, participants will gain practical experience in automating network provisioning, orchestrating virtualized and cloud-native network functions, implementing CI/CD pipelines, integrating APIs, deploying Infrastructure as Code solutions, managing service orchestration, automating network monitoring, and applying DevSecOps principles. Practical laboratories, engineering simulations, deployment exercises, automation workflows, and real-world case studies enable participants to develop immediately applicable competencies for telecommunications operators, internet service providers, enterprise networks, and managed service organizations.

Special emphasis is placed on emerging technologies including AI-driven network automation, machine learning for predictive operations, zero-touch provisioning, digital twins, self-healing networks, GitOps, Kubernetes orchestration, service mesh technologies, Open RAN automation, cloud-native orchestration, autonomous networking, edge automation, policy-driven management, and preparations for future 6G intelligent network operations. Participants will understand how these technologies enable highly adaptive, scalable, resilient, and autonomous telecommunications infrastructures capable of meeting rapidly evolving business and customer requirements.

The course also addresses governance, cybersecurity, regulatory compliance, operational resilience, engineering documentation, business continuity, change management, service lifecycle management, network observability, performance analytics, sustainability, and risk management. Participants will gain an understanding of internationally recognized engineering standards, industry frameworks, and operational best practices that support secure, compliant, resilient, and highly available automated telecommunications environments while maintaining service quality and operational accountability.

Upon successful completion of this course, participants will possess advanced engineering capabilities to design, deploy, automate, orchestrate, secure, optimize, and continuously improve telecommunications infrastructures. They will be prepared to lead automation initiatives, modernize network operations, accelerate digital transformation, enhance operational efficiency, reduce service deployment times, improve customer experience, and support next-generation autonomous telecommunications networks through intelligent engineering and orchestration strategies.

Duration

10 days

Who Should Attend

• Telecommunications Network Engineers
• Network Automation Engineers
• Network Operations Center Engineers
• DevOps Engineers
• Site Reliability Engineers
• Cloud Infrastructure Engineers
• Network Architects
• Telecommunications Consultants
• ICT Infrastructure Managers
• Systems Integration Engineers
• 5G Core Engineers
• Digital Transformation Professionals

Course Objectives

• Develop comprehensive expertise in designing, deploying, managing, and optimizing automated telecommunications infrastructures supporting next-generation communication services.
• Master automation technologies including SDN, NFV, Infrastructure as Code, CI/CD pipelines, APIs, orchestration frameworks, and programmable networking.
• Design scalable orchestration architectures that automate provisioning, configuration, monitoring, optimization, lifecycle management, and service delivery processes.
• Implement intelligent automation workflows that improve operational efficiency, minimize manual intervention, reduce errors, and accelerate service deployment.
• Apply cloud-native automation principles using Kubernetes, container orchestration, GitOps methodologies, and microservices-based telecommunications platforms.
• Strengthen operational resilience through zero-touch provisioning, automated recovery, policy-driven management, predictive maintenance, and intelligent fault remediation.
• Integrate artificial intelligence and machine learning into telecommunications automation for predictive analytics, intelligent decision-making, and autonomous operations.
• Implement secure automation frameworks incorporating DevSecOps, identity management, cybersecurity controls, compliance governance, and risk mitigation strategies.
• Optimize telecommunications performance using observability platforms, automation analytics, distributed monitoring, event correlation, and intelligent performance management.
• Apply international engineering standards, operational governance frameworks, and telecommunications best practices supporting automation lifecycle management and compliance.
• Lead enterprise telecommunications automation projects covering planning, deployment, migration, integration, optimization, documentation, and continuous improvement initiatives.
• Prepare organizations for future autonomous networking, AI-native operations, Open RAN automation, cloud-native orchestration, and intelligent 6G communication ecosystems.

Comprehensive Course Outline

Module 1: Introduction to Telecom Automation

• Understanding automation principles transforming modern telecommunications network operations.
• Exploring business drivers accelerating intelligent telecommunications automation adoption.
• Reviewing automation maturity models supporting digital transformation initiatives.
• Examining industry trends shaping autonomous telecommunications infrastructure evolution.

Module 2: Software-Defined Networking Foundations

• Understanding SDN architecture enabling programmable telecommunications infrastructures.
• Configuring SDN controllers supporting centralized network management capabilities.
• Automating traffic engineering through software-defined networking technologies.
• Integrating programmable networking within modern telecommunications environments.

Module 3: Network Function Virtualization

• Understanding NFV architecture supporting flexible telecommunications infrastructure deployment.
• Automating virtual network function lifecycle management through orchestration platforms.
• Optimizing virtualized communication services using intelligent automation frameworks.
• Integrating NFV with cloud-native telecommunications infrastructure efficiently.

Module 4: Cloud-Native Automation

• Deploying containerized telecommunications workloads using Kubernetes orchestration platforms.
• Managing cloud-native network functions through automated deployment pipelines.
• Implementing GitOps methodologies supporting continuous operational consistency.
• Optimizing cloud-native telecommunications infrastructure through automation best practices.

Module 5: Infrastructure as Code

• Developing Infrastructure as Code templates supporting automated network provisioning.
• Managing infrastructure lifecycle using version-controlled deployment methodologies.
• Automating configuration management across distributed telecommunications environments.
• Standardizing infrastructure deployment using reusable automation frameworks.

Module 6: API-Driven Network Automation

• Understanding RESTful APIs supporting telecommunications network programmability.
• Integrating network devices through standardized automation interfaces effectively.
• Developing automated workflows using programmable telecommunications APIs.
• Optimizing operational efficiency through API-based service integration strategies.

Module 7: Service Orchestration

• Designing service orchestration architectures supporting end-to-end network automation.
• Managing telecommunications service lifecycle through orchestration platforms.
• Automating service provisioning across multi-vendor network infrastructures.
• Coordinating distributed communication resources using orchestration technologies.

Module 8: CI/CD and DevOps for Telecommunications

• Building CI/CD pipelines supporting continuous telecommunications software deployment.
• Applying DevOps methodologies accelerating network service delivery processes.
• Automating testing and validation supporting telecommunications service reliability.
• Integrating development and operations through collaborative engineering practices.

Module 9: Intelligent Monitoring and Observability

• Implementing observability platforms supporting proactive telecommunications operations.
• Monitoring network performance using metrics, logs, traces, and analytics.
• Detecting service anomalies through intelligent operational monitoring systems.
• Optimizing network reliability using advanced observability engineering techniques.

Module 10: AI and Machine Learning for Automation

• Applying artificial intelligence to optimize telecommunications operational efficiency.
• Utilizing machine learning for predictive maintenance and traffic forecasting.
• Automating decision-making using intelligent analytics and recommendation engines.
• Implementing self-healing capabilities supporting autonomous network operations.

Module 11: Zero-Touch Provisioning and Self-Healing Networks

• Deploying zero-touch provisioning supporting automated telecommunications infrastructure activation.
• Designing self-healing communication networks minimizing operational disruptions.
• Automating fault detection, isolation, and recovery across network services.
• Improving customer experience through intelligent operational resilience strategies.

Module 12: Security Automation and DevSecOps

• Integrating cybersecurity controls within automated telecommunications deployment pipelines.
• Implementing DevSecOps supporting secure software delivery and infrastructure protection.
• Automating vulnerability assessments and compliance verification processes.
• Protecting orchestration platforms using identity governance and access management.

Module 13: Open RAN and Edge Automation

• Automating Open RAN deployments supporting disaggregated radio access networks.
• Managing edge computing infrastructure using intelligent orchestration platforms.
• Optimizing distributed communication services through edge automation techniques.
• Integrating cloud-native edge resources supporting ultra-low-latency applications.

Module 14: Governance and Operational Excellence

• Applying governance frameworks supporting secure telecommunications automation programs.
• Managing regulatory compliance within automated telecommunications environments.
• Establishing operational policies supporting standardized automation implementation.
• Conducting engineering audits ensuring automation quality and accountability.

Module 15: Business Continuity and Automation Resilience

• Designing resilient automation architectures supporting uninterrupted telecommunications services.
• Implementing disaster recovery strategies for orchestration and automation platforms.
• Strengthening operational resilience against infrastructure failures and cyber incidents.
• Managing lifecycle continuity through intelligent automation governance practices.

Module 16: Future Autonomous Telecommunications Networks

• Exploring autonomous networking supporting AI-native telecommunications operations.
• Evaluating digital twins enabling intelligent simulation and operational optimization.
• Preparing telecommunications infrastructures for future 6G automation ecosystems.
• Developing strategic roadmaps supporting sustainable automation transformation initiatives.

Training Approach          

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.