Industry-Ready Courses

The Medium Access Control (MAC) layer is the heart of the 5G NR Layer-2 protocol stack. It is responsible for scheduling radio resources, multiplexing logical channels, Hybrid Automatic Repeat Request (HARQ), Random Access procedures, Buffer Status Reporting (BSR), Scheduling Requests (SR), Discontinuous Reception (DRX), and many other critical functions that directly impact network performance.This comprehensive course is designed to provide an in-depth understanding of the complete 3GPP TS 3

Non-Terrestrial Networks (NTN) are extending 5G connectivity beyond terrestrial networks using LEO, MEO, GEO satellites and High Altitude Platform Stations (HAPS). This course provides a comprehensive understanding of 5G NTN based on 3GPP TR 38.821 and 3GPP TS 38.863, combined with practical implementation and validation using the Amarisoft 5G Test Bed.You will learn NTN reference scenarios, transparent and regenerative payload architectures, NG-RAN deployment models, physical layer enhancemen

Master the Radio Link Control (RLC) layer of the 5G NR Layer-2 Protocol Stack through this comprehensive, specification-driven training based entirely on 3GPP TS 38.322. This course provides an in-depth understanding of every procedure, clause, and protocol behavior defined in the RLC specification, enabling you to confidently work on 5G protocol development, software implementation, protocol testing, system integration, interoperability validation, and commercial network troubleshooting. The sp

Master the Packet Data Convergence Protocol (PDCP) layer of the 5G NR Layer-2 protocol stack by learning directly from the 3GPP TS 38.323 specification. This course is designed for telecom professionals, protocol developers, protocol testers, system engineers, and students who want an in-depth understanding of how PDCP operates in commercial 5G networks. PDCP is responsible for critical functions such as header compression, security, sequence number management, duplication, routing, reordering,

5G L2 Stack Mastery – Deep Dive with 3GPP, AmarisoftMaster the complete 5G NR Layer-2 Stack with industry-level practical exposure, deep 3GPP specification analysis, Amarisoft testbed validation, protocol log decoding.This course is specially designed for: Telecom Engineers 5G Protocol Stack Developers 5G Test Engineers Wireless R&D Engineers System Integration Engineers Freshers preparing for Telecom Product Companies Professionals targeting Nokia, Ericsson, Sam

📡 What is this Course?5G Network Slicing Mastery is a hands-on training program that teaches you to design, configure, and validate end-to-end network slices using Open5GS and UERANSIM, following 3GPP Rel-18/19 standards.You will learn S-NSSAI configuration, registration procedures, QoS enforcement, URSP policies, and RAN slicing – all through VM-based labs and interactive animated diagrams.📚 Course Contents (5 Modules)ModuleTopics1S-NSSAI (SST=1-6), N

5G NR RedCap (Rel-17) – Industry-Ready Training ProgramThis comprehensive course is designed for telecom engineers, testers, and developers who want to gain practical and in-depth knowledge of 5G NR RedCap (Reduced Capability) introduced in 3GPP Release 17.RedCap is a key enabler for IoT, wearables, and mid-tier 5G devices, bridging the gap between eMBB and LPWAN technologies like NB-IoT.🎯 What You Will Learn✔️ Complete understanding of 5G NR RedCap architecture✔️ UE capabilities

The Nokia 5G NR Optimization Mastery program is a hands-on, industry-aligned training designed to help telecom engineers master real-world 5G network optimization using Nokia tools, KPIs, and troubleshooting techniques.This course goes beyond theory and focuses on practical implementation, enabling you to analyze network issues, optimize performance, and confidently work on live 5G networks.Internal Links:5G Protocol Analysis & Troubleshooting Masterclass (RAN + Core)External

5G Core Mastery – Architecture, Protocols & Hands-on Labs (3GPP Aligned)The 5G Core Mastery Course is an advanced technical training program designed for telecom engineers, network architects, testers, and students who want deep expertise in 5G Core (5GC) based on 3GPP Release 15 to Release 19+ standards.This course covers the complete evolution from 2G/3G/4G to 5G, explaining Standalone (SA) vs NSA architecture, Service-Based Architecture (SBA), network slicing, and cloud-native

5G Log Analysis & Troubleshooting Masterclass – End-to-End RAN + CoreThis 5G Protocol Analysis masterclass provides in-depth training on end-to-end log decoding and troubleshooting across 5G RAN and Core networks. The course covers all RAN layers—PHY, MAC, RLC, PDCP, RRC, NAS, and IP—along with Core protocols such as NGAP, GTP-U, and HTTP/2-based SBA interfaces (N1, N6, N8, N12, N17).You will work with real Amarisoft LAB Log, PCAPs, Wireshark traces, call flow

“Our 5G Protocol Testing Course (100% Practical) is designed for Telecom engineers and B.Tech graduates aspiring for careers in 5G technology. This program covers concepts, Amarisoft testbed, configuration, and test case validation through network logs. With real hands-on training, students will gain industry-ready skills for Telecom, R&D, and Testing roles.”Internal Link:https://edunavo.com/courses/5g-l2l3-mastery-course/https://edunavo.com/courses/5g-log-analysis-troubleshootin

Course Objectives Master the RRC (Radio Resource Control)and NAS (Non-Access Stratum) layers in 5G. Understand 3GPP specifications for 5G NR (Release 17). Develop hands-on skills to implement, debug, and optimize RRC/NAS procedures. Prepare for roles in 5G UE (User Equipment) or gNB (Base Station) development.

The 5G NR Layer-1 Mastery Course is an advanced technical program designed for telecom engineers, developers, and protocol testers who want a deep understanding of the 5G Physical Layer (3GPP NR PHY) based on 3GPP Release-18 and beyond.This course explains the complete end-to-end working of 5G Layer-1 signals, channels, and procedures, including initial access, random access, control channel scheduling, data transmission, reference signals, and bandwidth management. Learners will understand ho

“Our NB-IoT NTN Crash Course is designed for telecom and network professionals who want to master Narrowband IoT and Non-Terrestrial Networks. The course covers NB-IoT concepts, architecture, 5G NTN integration, satellite communication, and use cases in IoT ecosystems. With a mix of theory and practical insights, this crash course makes you industry-ready in IoT and NTN domains.”External links🔹 3GPP NTN Overviewhttps://www.3gpp.org/technologies/ntn🔹 3GPP Release-17 NTN Specshttps://www.3

Upcoming (May 2025)

This course provides industry-oriented training on 5G device testing, covering 5G technology fundamentals, network architecture, protocol stack, RF testing, performance validation, compliance, and certification requirements. Learners gain practical exposure to protocol testing, log analysis, RF KPIs, SAR, interoperability testing, and the GCF/PTCRB certification process using industry-standard tools and test methodologies.The course also introduces test automation concepts using Python-based f

Master 5G Layer 2 and Layer 3 protocols with our in-depth 5G L2 and L3 Mastery Course. Get certified and advance your telecom career. Enroll now!Internal Links:5G Log Analysis & Troubleshooting Masterclass5G Protocol Testing (100% Practical with Amari softNB-IOT NTN Crash Course - EdunavoExternal Link: https://www.3gpp.orgExternal Link: https://www.etsi.orgExternal Link: https://www.itu.int

5G Automation Testing Mastery – RAN, Core & NetDevOpsThe telecom industry is rapidly moving toward cloud-native, software-driven 5G networks. Traditional manual testing is no longer enough.This 5G Automation Testing Course is designed for telecom professionals who want to master protocol-level automation, performance validation, and CI/CD integration for 5G RAN and 5G Core networks.Unlike generic automation courses, this program focuses specifically on: ✅ 5G Core (AMF, SMF, UP

Step into the world of Generative AI and Large Language Models (LLMs) with this hands-on course on LangChain for Beginners.LangChain is one of the most powerful frameworks used to build AI-powered applications like chatbots, question-answering systems, and document processing tools. This course focuses on practical implementation, helping you build real-world AI projects from scratch.You will start with an introduction to LangChain and language models, understanding how modern AI systems lik

Master Machine Learning Algorithms and Implementation with this comprehensive, hands-on course designed to take you from fundamentals to advanced AI models using Python.This course covers a wide range of machine learning techniques including supervised learning, unsupervised learning, deep learning, and reinforcement learning, all implemented step-by-step using real code.You will begin with core regression models, including Linear Regression, Ridge, Lasso, and Polynomial Regression, to under

Master Convolutional Neural Networks (CNNs)—the backbone of modern computer vision and image recognition systems—with this hands-on, industry-focused course.CNNs are widely used in applications such as facial recognition, object detection, medical imaging, and autonomous driving. This course provides both strong conceptual understanding and practical implementation skills required to build real-world AI solutions.You will begin with an introduction to CNNs, understanding how they differ from

Learn how to build high-performance Machine Learning models with this practical course on Model Tuning and Optimization, a critical skill for every data scientist and AI engineer.Even the best machine learning algorithms fail without proper tuning. This course teaches you how to optimize models for maximum accuracy and efficiency using industry-standard techniques.You will start with an introduction to hyperparameter tuning, understanding the difference between parameters and hyperparameters

Build a strong mathematical foundation for Machine Learning and Artificial Intelligence with this comprehensive course on Probability and Statistics.This course is designed to help you understand how data behaves, how models make predictions, and how to validate results using statistical techniques—skills that are essential for every AI and ML professional.You will start with probability theory and random variables, learning how uncertainty is modeled in real-world systems. Then, you will ex

Kickstart your journey into Artificial Intelligence with this comprehensive Python Programming Basics for AI course. Designed for beginners, this course builds a strong foundation in Python, the most widely used language in AI and Machine Learning.You will start with the basics of Python development, followed by essential programming concepts like control flow, functions, and modules. As you progress, you’ll master data structures such as lists, tuples, dictionaries, and sets—critical for hand

Start your journey into Artificial Intelligence by learning the core concepts of Machine Learning with a strong focus on Supervised Learning techniques used in real-world industry applications.This course is designed to help beginners and working professionals understand how machine learning models are built, trained, and evaluated. You will learn key ML terminology, regression models, classification techniques, model evaluation strategies, and the k-Nearest Neighbors (k-NN) algorithm through

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the telecom industry by enabling intelligent network optimization, predictive maintenance and automated decision-making. This course explores key AI & ML use cases in telecom, including anomaly detection, traffic prediction, customer experience enhancement and 5G network optimization. Designed for telecom engineers, data professionals and technology leaders, the program focuses on practical applications and real-worl

Machine learning algorithms rely heavily on mathematical concepts. This course provides a strong mathematical foundation required to understand how machine learning models work internally.The Mathematics for Machine Learning course covers the essential mathematical tools used in modern AI and data science, including linear algebra, calculus, probability theory, and statistics. These concepts are explained with practical Python examples so learners can connect theory with real-world machine lea

Structure:● Covers all 20 CEH modules● Each module approximately 1 to 1.5 hours with practical demosand Q&A● Includes hands-on labs spread throughout the course● Final days dedicated to revision and practice tests

Master PyTorch, one of the most powerful and widely used deep learning frameworks, with this comprehensive course designed to take you from beginner to advanced level.This course provides a complete learning path covering fundamentals, model building, optimization, and deployment, making you industry-ready for AI and deep learning roles.You will begin with an introduction to PyTorch, setting up your environment and understanding its core concepts. Then, you’ll learn how to work with tensors,

Master Recurrent Neural Networks (RNNs) and Sequence Modeling, the core technologies behind applications like natural language processing (NLP), text generation, speech recognition, and time-series forecasting.This course is designed to give you both a strong conceptual understanding and hands-on experience in building deep learning models for sequential data.You will begin with an introduction to sequence modeling and RNNs, understanding how these models process time-dependent and sequentia

Build a strong foundation in Neural Networks and Deep Learning, the core technologies behind modern Artificial Intelligence systems such as image recognition, speech processing, and autonomous systems.This course is designed to help you understand both the theoretical concepts and practical implementation of deep learning models using industry-standard tools.You will begin with an introduction to neural networks, understanding how artificial neurons work and how deep learning models are stru

Take your Machine Learning skills to the next level with this advanced course focused on high-performance algorithms used in real-world AI systems.This course is designed to help you master ensemble learning techniques, which are widely used in industry to build accurate and robust machine learning models.You will begin with an introduction to ensemble learning, understanding how combining multiple models improves prediction performance. Then, you’ll dive into bagging techniques and Random F

Master the core concepts of Data Science for Artificial Intelligence with this practical, hands-on Python course designed for beginners and aspiring AI professionals.This course focuses on the most essential data science tools used in real-world AI projects—NumPy, Pandas, and data visualization libraries—while giving you strong practical exposure through an end-to-end Exploratory Data Analysis (EDA) project.You will begin with NumPy numerical computing, where you’ll learn how to handle large

Master Software Defined Networking (SDN) and Network Function Virtualization (NFV) through real-world analogies and hands-on labs using Mininet, Open vSwitch, Faucet Controller, Docker, OpenFlow, Wireshark, and Traffic Engineering techniques. Learn to design, deploy, automate, and troubleshoot modern telecom and cloud-native networks.

Become a Kubernetes Professional by mastering container orchestration from fundamentals to production readiness. This hands-on course covers Pods, Deployments, Services, Networking, Ingress, Storage, ConfigMaps, Secrets, RBAC, Monitoring, Troubleshooting, Scaling, High Availability, and Production Best Practices.Designed for DevOps Engineers, Cloud Engineers, Software Developers, SREs, and IT Professionals, this course includes real-world labs, production deployment scenarios, CI/CD integratio

This intensive bootcamp takes you from absolute beginner to confident Docker user. You'll master Docker architecture, container lifecycle, networking, storage, custom image building with Dockerfile, and multi-container orchestration with Docker Compose — all with real-world telecom CNF (Cloud-Native Network Function) examples.Target Audience:CategoryDescriptionBeginnersNo prior Docker experience — just basic command-line knowledgeCloud EngineersWant to solidify

This Complete Computer Networking Course is designed to take you from absolute beginner to advanced level, covering all fundamental and core networking concepts used in real-world IT, telecom, and enterprise environments.Whether you're a student, IT professional, telecom engineer, or aspiring network engineer, this course will help you build a strong conceptual and practical foundation.📚 What You Will Learn✔ Fundamentals of Computer Networks✔ Types of Networks: LAN, WAN, MAN, PAN✔

Are you looking to transition from 5G Testing to 5G Development roles? Do you want to understand how the Radio Link Control (RLC) layer is actually implemented inside commercial 5G products?This production-oriented course is designed to provide a deep understanding of 5G RLC protocol development, aligned with 3GPP TS 38.322, through extensive C++ coding, debugging, protocol analysis, and hands-on lab exercises.Unlike theory-focused telecom courses, this program emphasizes real-world implemen

🚀 AI-Powered Project Management MasteryThis course is a practical, industry-focused Project Management program designed to help you manage real-world projects using AI tools, Agile methodologies, and modern project techniques.With 13 structured modules, the course covers the complete project lifecycle—from initiation and planning to execution, monitoring, and delivery—combined with hands-on labs and real-time scenarios.🎯 What You Will Learn✔️ End-to-end Project Management lifecyc