Apis Training

Autonomous Networks for Leaders

linda — Tue, 08 Sep 2026 10:38:08 +0000

Autonomous Networks for Leaders

eLearning

€ 95*

*Prices exclude VAT

Course Contents

This leadership-focused course explains what autonomous networks really are, separating scripted automation and AI-assisted operations from genuine autonomy. Participants examine the Level 0-5 autonomy ladder from TM Forum and 3GPP, closed-loop architecture, intent-based management, data and brownfield constraints, and agentic AI.

It also covers graded trust, delegated authority, accountability, and building value cases that start from one bounded, measurable scenario.

Target Audience

This course is intended for leaders and technical decision-makers who need a clear, structured understanding of autonomous network operations. It is ideal for executives, network strategists, and architects who must evaluate vendor claims, maturity levels, and business cases for autonomy. The course also suits operations managers, transformation leads, and technical professionals from telecom and adjacent industries who need to separate genuine autonomous capability from automation and AI-assisted hype.

Learning Objectives

By the end of this course, you will be able to:

– Distinguish automation, AI-assisted operations, and genuine autonomy.
– Apply the Level 0 to Level 5 autonomy ladder to assess maturity claims.
– Explain how closed loops sense, decide, act, and verify outcomes.
– Describe the role of intent, knowledge graphs, and governed data.
– Evaluate where agentic AI and Level 4 autonomy deliver real value today.
– Identify data and integration gaps that limit autonomy at scale.
– Assess trust, authority, and accountability as engineered design choices.
– Connect business objectives to measurable autonomy indicators.
– Define a bounded starting scenario and scale it responsibly.

Course outline

From Automation to Autonomy

• Course Overview and Roadmap
• One Degradation, Three Responses
• Defining an Autonomous Network
• Automation, AI Advice and Autonomy

The Autonomy Ladder

• The Six Levels of Network Autonomy
• From Conditional to High Autonomy

Inside the Autonomous Loop

• The Closed Loop Step by Step
• The Capability Stack Beneath Autonomy
• Managing Networks by Intent

Level 4, Agents and Data Reality

• High-Value Level 4 Scenarios
• Agents as Bounded Actors
• The Real Bottleneck to Scaling

Trust, Authority and Accountability

• The Trust Architecture
• Delegating Decision Rights

Proving Value and Where to Start

• Building the Value Case
• Five Steps to Scaled Autonomy
• Key Takeaways

Prerequisites

No specific prior knowledge is required. A general background in telecom operations or network management will be helpful, and familiarity with basic concepts such as closed-loop systems, KPIs, or AI-assisted tools may enhance understanding.

5G for B2B Sales

linda — Fri, 28 Aug 2026 11:58:16 +0000

5G for B2B Sales

eLearning

€ 95*

*Prices exclude VAT

Course Contents

This course delivers a commercial view of 5G, covering standalone versus non-standalone deployment, sellable capabilities such as network slicing, edge computing, private networks, and network APIs. Participants explore business model design, operator role selection, and manufacturing value stories with quantified evidence.

The course closes with customer discovery, objection handling, business case construction, and regional competitive positioning for real-world 5G deals.

Target Audience

This course is intended for commercial and technical professionals who need to turn 5G capability into revenue. It suits account managers, business developers, solution and pre-sales consultants, product managers and marketing professionals working with enterprise customers, as well as engineers, architects and consultants who want to understand the business logic behind private networks, slicing, edge and network APIs. It is equally useful for strategy, partner and regulatory roles at operators, vendors, systems integrators and enterprises evaluating private 5G.

Learning Objectives

By the end of this course, you will be able to:

– Distinguish standalone from non-standalone 5G and what each can honestly sell.
– Explain slicing, edge, private 5G and network APIs as purchasable capabilities.
– Position 5G-Advanced, RedCap and 6G in a realistic commercial timeline.
– Build a Business Model Canvas for a private network or API offer.
– Choose an operator role and check that the economics actually fund it.
– Construct a manufacturing value story using pain, mechanism, evidence, scope.
– Run discovery that ends in a quantified, customer-owned impact figure.
– Answer objections on cost, Wi-Fi, complexity and cloud with measured evidence.
– Assemble a five-year total cost of ownership with payback in months.
– Turn regional deployment and spectrum facts into credible competitive evidence.

Course outline

Where 5G Actually Is - Standalone, Non-Standalone and the Hype Correction

• Course Overview: How 5G and Beyond Is Structured
• Standalone versus Non-Standalone: What Each Can Honestly Be Sold As, and the 5G-Advanced Road Ahead

The Sellable Capability Set - Slicing, Edge and AI, Private 5G and Network APIs

• Scoping and Pricing a Network Slice as a Sellable Product
• Edge Computing as an Operator Revenue Line
• Private 5G as an Enterprise Purchase Order
• Monetising Network APIs through CAMARA and Open Gateway

Building the Business Model - Canvas and Operator Role Choice

• Filling the Nine Canvas Blocks for a Private 5G and an API Offer
• Choosing Your Role in the Deal: Supplier to End-to-End Provider

Manufacturing

• The Reference Vertical Value Story

The Sales Conversation - Discovery, Objections and the Business Case

• Structured Discovery: From Business Goal to a Quantified Impact Figure the Buyer Owns
• Answering the Four Standard Objections: Cost, Wi-Fi, Complexity and Cloud
• Building the Payback and Five-Year Total Cost of Ownership Business Case

Regional Position as Competitive Evidence and Course Close

• Regional Position as a Competitive Argument and the Capstone Brief
• Course Wrap-Up

Prerequisites

No specific prior knowledge is required. A general understanding of mobile networks or enterprise IT is helpful, and experience in sales, business development or solution design will make the commercial examples easier to apply.

5G System and the Mission Critical Services

linda — Thu, 02 Jul 2026 13:42:47 +0000

5G System and the Mission Critical Services

Classroom Training

€ 2600*

*Prices exclude VAT

Course Contents

The 5G System Overview provides a solid technical understanding of the 5G System as defined and standardized by 3GPP.

The course accounts for the various aspects of the 5G System (Radio Access Network, 5G Core), nodes / functions, interfaces / reference points, basic procedures and main architectural ideas. The course explains the key 5G features, like network slicing and edge computing, and how these are used to make the 5G System more efficient and flexible than earlier generations of 3GPP networks. The ITU 5G Use Cases (eMBB, URLLC and mMTC) are outlined in terms of services and technical aspects.

This course also examines the public safety services specified by 3GPP as key applications within the Mission Critical use case for 5G networks.

It begins by detailing the stringent Quality of Service requirements of critical communication services, followed by an analysis of 5G Standalone (SA) network capabilities designed to meet these demands. The 3GPP Mission Critical system architecture is introduced, along with the specific 5G SA features — in both the access and core domains — that enable low-latency, high-priority communication for fast-response verticals.

Target Audience

This course is intended for technical professionals that need to understand the 5G System from a technical perspective.

This course is intended for technical professionals involved in the design, deployment, or operation of mission critical and public safety communication systems for the law enforcement agencies, police forces, defence organisations, and contingency or disaster response agencies.

Course outline

5G System Overview

• What is 5G and why?
• 5GPPP, ETSI and ITU requirements for 5G
• ITU 5G Use Cases – eMBB, URLLC and mMTC
• Primary 5G Verticals
• 3GPP 5G stndardisation development: from R15 to R18 and onwards

5G Architecture Overview

• End-to-end Client-Server model
• Key benefits of Virtualization

5G Access Networks

• 5G New Radio: general characteristics and features
• NG-RAN: gNB: functionalities and deployment options – split gNB, CUPS in NG-RAN, Open-RAN
• E-UTRAN in 5G: Dual Connectivity options, Non-Standalone and Standalone deployments
• Other Access Networks: WiFi, Satellite, wireline

5G Core Network

• The new Service-Based Architecture (SBA)
• NF Services and Service Based Interfaces
• New 5GC Networks Functions (NFs): AMF, SMF, PCF, AUSF, UDM, UPF, NEF etc.
• Virtualization of the 5G Core Network Functions
• Basic traffic cases: Registration and PDU Session setup

5G User Plane

• Basic definitions: PDU Session, SSC Modes, SDF, QoS Flow, PSA
• PDU Session: Session Attributes, Session types and features – Multi-Access, Sessions with multiple PSAs
• User Plane QoS: 5QI, QoS parameters distribution from CP to UP
• User Plane routing: UPF chaining, DNAI selection principles

Examples of 5G Features

• APIs and Service Influencing
• Network Slicing
• Edge Computing
• Local Area Data Networks
• Time-Sensitive Communication

The Network Slicing Feature

• Dividing physical resources into logical networks
• Network slice data model: S-NSSAI, slice instances, slice selection
• Network slicing for different use cases

Applications in 5G

• Voice over 5G
• Advanced Data Services
• IoT Applications
• Vertical example: Mission Critical

Introduction to Critical Communication and Public Safety Services

• Examples of critical communication applications
• Critical communication service requirements
• Public Safety Services as an application within the critical communication services family
• Public Safety systems currently in use

Mission Critical/Public Safety in 3GPP

• Timeline of the 3GPP specifications for Mission Critical/Public Safety (MC/PS)
• Basic 3GPP definitions for the Mission Critical service components
• Suitability of the 3GPP 4G and 5G for MC/PS
• 3GPP features for MC/PS support introduction

Architecture for Mission Critical Services in 3GPP

• Client-Server communication over 3GPP networks for MC/PS
• UE support: MC Services Client
• MC Server: Common Services Core and MCX Server
• MC Control:
o Identity management
o Group management
o Configuration management
o Key management
o Location management
• MCX Registration Procedure
• Definition of MCX Services: MCPTT (Push-To-Talk), MCVideo, MCData

Mission Critical Push-To-Talk (MCPTT) service

• MCPTT definition
• MCPTT vs. legacy Telephony Service
• MCPTT Call types
• MCPTT Architecture
• MCPTT group call establishment
• Floor Control for MCPTT group calls

Mission Critical Data (MCData) service

• MCData Definition
• MCData Architecture

Radio Support for MCX in 5G

• New Radio access
o 5QI settings for MCX
o NR features to support Low Latency
o NR features to support High Throughput
o NR features to support High Reliability
• WiFi access
o Multi-Access PDU Sessions for WiFi Offload
o Access Traffic Steering, Switching and Splitting
• Satellite access coverage options

Network Support for MCX in 5G

• 5G features for MCX support
o Network Slicing
o Edge Computing
o Multicast Broadcast Services (MBS)
o Private Networks

MCX Enablers in 3GPP

• IMS Control for MCX
• Proximity Services (ProSe)

Prerequisites

General technical knowledge of LTE/EPS/4G is highly recommended.

Participants are expected to have a technical background. Basic knowledge of the Standalone 5G system architecture will enable them to fully benefit from this course.

eSIM for IoT

linda — Mon, 01 Jun 2026 16:28:03 +0000

eSIM for IoT

eLearning

€ 195*

*Prices exclude VAT

Course Contents

This course presents the eSIM technology for the Internet of Things and the GSMA Remote SIM Provisioning standards that enable it.

The course starts with the fundamentals and history of the SIM, USIM and UICC and the evolution to the eSIM/eUICC. It then explains the foundational M2M standard (SGP.02) and the consumer standard (SGP.22), before focusing in detail on the new IoT standards SGP.31 and SGP.32, including the eIM and IPA entities. The last part covers the benefits, commercial opportunities and real-world use cases of eSIM for IoT.

Course outline

Fundamentals and History

• SIM, USIM, UICC and ISIM: the basics
• Mobile Equipment, UICC and the air interface
• SIM form factors and the evolution to eSIM/eUICC
• The GSMA eSIM standards family: SGP.02, SGP.22, SGP.31 and SGP.32
• Why IoT needs a new Remote SIM Provisioning standard

SGP.02 and SGP.22: Foundations and Consumer Standard

• M2M eSIM architecture and roles (SGP.02): SM-DP, SM-SR and EUM
• Consumer eSIM architecture and roles (SGP.22): SM-DP+, SM-DS and the LPA
• M2M versus consumer eSIM: key differences
• SGP.02 profile lifecycle, interfaces (ES1–ES8) and profile structure
• SGP.22 interfaces (ES2+ to ES12) and the LPA architecture
• eUICC security domains and profile download signalling flows

SGP.31 and SGP.32: eSIM for IoT

• SGP.31 and SGP.32: overview, design goals and new entities
• IoT system architecture: the eIM, the IPA and the IoT eUICC
• The eIM (eSIM IoT Manager) and its interfaces (EIM1–EIM6)
• The IPA (IoT Profile Assistant): IPA-ME and IPA-eUICC variants
• SGP.32 profile download flow (Option A and Option B)
• SGP.32 profile lifecycle and state model
• Protocol stack for constrained devices: CoAP, DTLS and HTTPS

Benefits, Opportunities and Use Cases

• Operational benefits: zero-touch provisioning, remote operator switching and fleet management
• Business opportunities for MNOs, device makers and enterprise deployers
• Use case: smart metering and utilities
• Use case: connected vehicles and logistics
• Use case: industrial IoT and critical infrastructure
• Use case: healthcare and agriculture

Prerequisites

Basic technical knowledge of mobile networks (GSM/UMTS/LTE/5G) and IoT connectivity is recommended.

Public course application form

linda — Thu, 21 May 2026 16:42:15 +0000

AI in Telecom

linda — Wed, 20 May 2026 18:47:26 +0000

AI in Telecom

Virtual Classroom

€ 1020*

Classroom Training

€ 1020*

eLearning

€ 195*

*Prices exclude VAT

Course Contents

This course explores how artificial intelligence is transforming the way modern telecom networks are operated, optimized, and protected.

It begins in the network operations center, showing how AI detects faults before they happen, suppresses alarm storms, and pinpoints root causes in seconds instead of hours. From there, it moves into the radio access network, where AI manages interference, balances load, drives beamforming, and cuts energy costs through smarter, self-optimizing decisions. You’ll then go deep into the 5G core and the NWDAF analytics function, and see how AI fights real-world fraud — from SIM swap and SIM box attacks to SS7 signaling threats.

The course also covers generative AI in the operations center: how large language models, retrieval-augmented generation, and AI copilots help engineers diagnose incidents and write configurations safely. Finally, it tackles the topics most courses skip — governance, risk, the EU AI Act, accountability, and the build-versus-buy decision — and closes with a hands-on lab you can run yourself. Throughout, the focus stays practical, honest about failure modes, and grounded in real production deployments.

Target Audience

This course is intended for technical professionals who want a clear, practical understanding of how AI is applied inside telecom networks. It is ideal for network engineers, operations center staff, radio and core specialists, planners, and system architects involved in the design, deployment, or operation of mobile networks. It also suits team leads, technical managers, and professionals from adjacent fields — such as DevOps, security, or data — who need to understand where AI genuinely helps, where it fails, and what it takes to deploy it responsibly. No data science background is required.

Learning Objectives

By the end of this course, you will be able to:

– Explain how AIOps detects anomalies, suppresses alarms, and finds root causes.
– Describe key techniques like isolation forest, LSTM, and graph neural networks.
– Understand how AI optimizes the radio network and reduces energy use.
– Outline the 5G core functions and how NWDAF turns data into predictions.
– Identify major telecom fraud types and how layered AI models detect them.
– Explain how LLMs, RAG, and copilots support engineers in the operations center.
– Recognize AI risks, including hallucination, drift, and dirty data.
– Apply EU AI Act requirements for high-risk telecom AI systems.
– Use a structured framework to make build, buy, or open-source decisions.
– Run a hands-on lab covering operations, radio, fraud, and governance.

Course outline

Introduction

• AI Hype vs Reality
• Why Telecom Needs Autonomous AI

AIOps

• The 3AM Alarm Storm
• Anomaly Detection and Root Cause Analysis
• Data Readiness for AIOps

AI in RAN

• RAN Foundations and SON
• AI-Driven Radio Optimization
• Open RAN, Slicing, and Production Reality

Core Network, NWDAF & BSS Fraud

• 5G Core and NWDAF Intelligence
• Telecom Fraud Patterns and Models
• Core AI Deployments and Limits

GenAI & the NOC Copilot

• NOC Copilot Foundations
• GenAI Use Cases in Operations
• Deployment Patterns and GenAI Risks

Risk Governance – Should You Build This?

• Risk, Regulation, and Accountability
• Build, Buy, and Vendor Decisions
• Governance Failure Cases and Next Steps

Hands-On AI Telecom Lab

• Lab: AIOps Anomaly Detection
• Lab: RAN Intelligence
• Lab: Core Network and Fraud
• Lab: GenAI in Telco
• Lab: Governance

Prerequisites

No specific prior knowledge is required. A general technical background will be helpful, and familiarity with basic telecom, networking, or IT operations concepts may enhance understanding. You do not need any experience with machine learning or programming to follow the material or the hands-on lab.

Webinar | 5G Standalone

linda — Tue, 31 Mar 2026 15:04:29 +0000

The deployment of 5G Standalone (5G SA) represents a major evolution in mobile network architecture.

Designed to support modern applications requiring higher throughput, ultra-low latency and improved reliability, 5G Standalone introduces new capabilities across both the access network and the core network.

This webinar explores the key technologies and architectural concepts behind 5G SA deployments.

Webinar Topics

5G Standalone system domains: access network and core network
5G access network options
New Radio characteristics and frequency bands (FR1 and FR2)
Network slicing and edge computing
Private network deployments

HTTP/2 in 5G

linda — Fri, 27 Mar 2026 13:08:33 +0000

HTTP/2 in 5G

Virtual Classroom

€ 595*

Classroom Training

€ 595*

eLearning

€ 195*

*Prices exclude VAT

Course Contents

This course presents features and usage of HTTP/2 protocol used for communication within 5G Core Network.

The course starts with an introduction of the basic HTTP features, methods, history. This is followed by description of various new features in HTTP/2 version of the protocol. The last part contains several topics describing use of the protocol in communication between Network Functions in the 5G Core Network.

Course outline

Introduction and Evolution

• HTTP introduction
• HTTP history and transport
• HTTP methods and responses

HTTP/2 Features

• HTTP/2 streams
• Server push in HTTP/2
• Binary framing
• Frame types and formats
• Header flags and protocol settings
• Use of the connection preface
• Overview of HPACK header compression

HTTP/2 in 5G

• 5G network architecture
• Rationale behind selection of HTTP/2 for 5G
• RESTful APIs
• 5G Service Based Architecture communication principles
• Examples of NF services, operations, procedures
• Mapping of service operations to HTTP/2 methods and responses
• Example OpenAPI specifications
• Overview of registration, discovery, authorisation procedures
• Lists of mandatory request and response standard and custom headers
• Security of HTTP/2 communication in 5G
• Sample trace file snapshots

Prerequisites

Basic technical knowledge of 5G networks and data communication is recommended.

IMS Architecture_260908

linda — Wed, 04 Mar 2026 13:09:03 +0000

How to Apply

1. Fill Out the Form: Complete the form with your details.
2. Get Contacted: Our team will reach out to you with more information and next steps.

IMS Architecture: 8 September 2026

Every public session has a limited number of seats and our larger key account clients are informed about dates before everyone else. If you haven’t taken courses with us before and your company does not have a frame agreement, we would love for you to join but please share as much info as possible in the message box (role, company, upskilling needs, number of participants etc.)

5G NSA Signalling

linda — Fri, 27 Feb 2026 16:06:04 +0000

5G NSA Signalling

Virtual Classroom

€ 2600*

Classroom Training

€ 2600*

*Prices exclude VAT

Course Contents

The 5G network architecture is a significant evolution from the 4G LTE EPC. Multi-Access Edge Computing (MEC) and Network Slicing are new abilities that enable the operator to improve the network to meet specific applications’ requirements.

During this course you will go through key operations such as power up and system acquisition, RRC connection setup, bearer setup with 5G NR, and DL and UL operations on 5G NR. This course covers key operations through call flows with details of major messages and their key parameters.

This course offers an insight into the signalling protocols applied in the 5G RAN. You will focus on the details of the NR interface signalling exchanged between the UE and the network, but the most important aspects of other NG-RAN interfaces are also covered. Most important network procedures, such as signalling connection establishment, registration, service request and handover are discussed and presented on signalling diagrams.

Target Audience

Network engineers, people involved in network design or systems performance, and operations related job functions who need to get an in-depth understanding of signalling procedures and Function.

Course outline

5G NSA Overview

• 5G NSA architecture
• 5G NSA gNB functional blocks and interfaces
• 5G core (5GC)
• MIMO TM1-10 and massive MIMO introduction
• 5G NSA LTE & NR measurements
• EN_DC (option 3x) description
• EN_DC split bearer setup, maintain, release

5G NSA L3 Signalling

• 3GPP LTE/5G NAS signalling for (option 3x) EN_DC architecture
• 3GPP LTE/5G RRC signalling procedures and services
• 3GPP 5G RRC signalling messages
• 3GPP 5G RRC Information Elements (IE) and parameters
• BCCH SIB messages indicating EN_DC cell support
• SIB parameters description for 5G cell support
• 3GPP EN_DC service setup, split bearer setup, release signalling flow
• Practical Exercises: RRC signalling log files analysis

5G NSA L2 Signalling

• 3GPP PDCP protocol procedures and services
• 3GPP RLC protocol procedures and services
• 3GPP MAC protocol procedures and services
• 3GPP MAC scheduler
• LTE Random Access analysis
• EN_DC Random Access analysis
• 5G NR HARQ procedures
• 5G NR LDPC and polar coding
• 5G NSA NR MIMO-OFDM mapping
• 5G NSA & SA NR mMIMO-OFDM mapping (analog and digital beamforming)
• Practical Exercises: L2 MAC signalling log files analysis

5G NSA Mobility

• 5G NSA EN_DC Mobility overview
• 5G NSA re-establishment (EN_DC splitting bearer to LTE MCG bearer)
• 3GPP re-establishment Parameters – related discussion for vendor specific parameters
• Practical Exercises: EN_DC split bearer setup and EN_DC split bearer to LTE MCG bearer signalling log files analysis

5G NSA Optimization

• 5G NSA EN_DC split bearer failure
• Failure analysis and related parameters
• Practical Exercises: split bearer failure signalling log files analysis
• Parameter configuration and Optimization discussion

Prerequisites

LTE Signalling – strongly recommended!
5G System Overview – strongly recommended!