MASTER 5G/6G AI-RAN & INTELLIGENT NETWORKS
From Radio Access Network Fundamentals to AI-Driven Network Optimization
Develop practical foundations in Radio Access Network (RAN) architecture, AI/ML for telecom, Open RAN, RAN Intelligent Controllers, xApps and rApps, network optimization, telemetry, and intelligent automation. Understand how AI can support radio resource optimization, energy efficiency, fault prediction and the evolution toward AI-native 5G/6G networks.
Core Technologies: 5G NR • RAN • Open RAN • O-RAN • AI/ML • RIC • xApps • rApps • Python • Network Analytics • Digital Twins • Intelligent Automation
- 6 Months
- 150+ Practical Hours
- Live Online Training
- Industry Practice Labs
What You Will Learn
5G/6G and Radio Access Network Foundations
- Understand the role of RAN in mobile networks
- Explore GNB architecture and key radio components
- Learn the relationship between RAN, 5G Core and UEs
- Understand basic radio resource and mobility concepts
- Explore the direction of 5G-Advanced and 6G evolution
RAN Performance and Network Measurements
- Understand key RAN performance indicators
- Explore throughput, latency, availability and coverage
- Interpret cell utilization and congestion indicators
- Understand handover and radio resource management
- Relate network measurements to user experience
Python and Data Analytics for Telecom
- Build Python foundations for telecom data analysis
- Load and inspect network performance datasets
- Clean, transform and organize telecom measurements
- Visualize trends, anomalies and performance changes
- Prepare network data for AI/ML workflows
AI/ML for Radio Access Networks
- Understand AI/ML concepts used in network optimization
- Prepare features from RAN measurements and telemetry
- Explore prediction, classification and anomaly detection
- Evaluate models using suitable performance metrics
- Understand model limitations and operational validation
Open RAN and O-RAN Architecture
- Understand the motivation behind Open RAN
- Explore key O-RAN architecture components
- Learn the roles of SMO, Non-RT RIC and Near-RT RIC
- Understand A1, E2 and O1 interfaces at a conceptual level
- Explore interoperability and multi-vendor RAN environments
RIC, xApps and rApps
- Understand RAN Intelligent Controller concepts
- Distinguish Non-RT RIC and Near-RT RIC functions
- Learn the roles of xApps and rApps
- Explore data-driven optimization and policy workflows
- Understand validation and lifecycle management of applications
Intelligent Network Optimization
- Explore AI-assisted traffic and capacity optimization
- Understand energy-efficiency optimization use cases
- Analyze congestion, mobility and performance patterns
- Explore anomaly detection and fault prediction
- Evaluate optimization outcomes against defined KPIs
AI-Native Networks and the 6G Direction
- Understand the concept of AI-RAN
- Explore AI workloads alongside radio access functions
- Learn how automation supports intelligent network operations
- Understand digital twins and network simulation concepts
- Examine emerging AI-native network use cases for 5G and 6G
Hands-On AI-RAN Labs
Configure. Train. Deploy. Optimize. Automate.
Go beyond classroom theory and practice the core activities performed during real-world AI-RAN architecture design, Open RAN integration, xApp/rApp development, and intelligent network optimization..
Understand the RAN Use Case and Architecture
- Define a practical RAN performance problem
- Identify relevant gNB and network components
- Map the relationship between RAN and 5G Core
- Select measurable performance indicators
- Prepare a use-case and data-requirements document
Inspect and Analyze RAN Performance Data
- Load a sample RAN KPI dataset
- Inspect throughput, latency and utilization metrics
- Clean missing or inconsistent measurements
- Visualize trends and identify performance changes
- Summarize the main network observations
Build a Telecom Data Analysis Workflow
- Use Python to process network measurements
- Organize data into analysis-ready structures
- Calculate selected performance indicators
- Compare results across cells or time periods
- Generate a repeatable analysis report
Develop an AI/ML Network Analytics Prototype
- Define a suitable prediction or anomaly-detection task
- Prepare features from network measurements
- Train a suitable baseline model
- Evaluate results using relevant metrics
- Document limitations and validation requirements
Explore Open RAN and RIC Architecture
- Map the main O-RAN architecture components
- Understand SMO and RIC responsibilities
- Examine the roles of xApps and rApps
- Explore how network data and policies are exchanged
- Document the workflow for an optimization use case
Design an Intelligent RAN Optimization Use Case
- Select a use case such as congestion or energy optimization
- Identify the inputs and relevant network KPIs
- Define an optimization objective and constraints
- Design the AI-assisted decision workflow
- Specify how the impact would be measured
Validate Network Intelligence Outcomes
- Establish a baseline from the available measurements
- Compare results before and after a proposed change
- Check for unintended performance trade-offs
- Document model and optimization behavior
- Prepare a technical evaluation report
Present an AI-RAN Industry Project
- Connect the problem, data and RAN architecture
- Explain the proposed AI/ML or automation workflow
- Demonstrate analysis and evaluation results
- Present operational risks and validation needs
- Deliver a project report and technical presentation
5G/6G AI-RAN
What the Industry Is Telling Us
Tools & Technologies
Telecom & RAN
5G NR • gNB • RAN KPIs • 5G-Advanced concepts • 6G direction
Open RAN
O-RAN architecture • SMO • Non-RT RIC • Near-RT RIC • xApps • rApps • A1/E2/O1 concepts
Programming & Analytics
Python • Pandas • NumPy • Data visualization • KPI analysis
AI/ML
Data preparation • Classification • Prediction • Anomaly detection • Model evaluation
Network Intelligence
RAN optimization • Telemetry • Digital twin concepts • Intelligent automation
Who is this Program For?
Telecom engineers interested in AI-enabled RAN and network intelligence
4G/5G engineers seeking to build AI/ML and automation skills
RAN optimization and performance engineers
Open RAN and O-RAN integration professionals
Python or AI/ML learners interested in telecom applications
Graduates with suitable programming and networking foundations
Career Opportunities
This program is designed to build practical foundations relevant to roles such as
Why Primebit Solution?
17 Years of Training Experience
Structured technical learning focused on practical engineering skills.
In-Depth Technical Training
Connect telecom architecture with data analysis, AI/ML and intelligent network workflows.
Practical Lab-Based Learning
Work through RAN analytics, optimization use cases and AI/ML prototypes.
Career & Placement Support
Guidance for relevant technical roles and interview preparation.
Global Career Orientation
Explore telecom and network-intelligence opportunities in India and international markets.
Global Companies with Relevant Telecom, Cloud and DevOps Roles
Our alumni are working in leading semiconductor, networking and technology companies in India and abroad, including Qualcomm, MediaTek, Samsung, Apple, Broadcom, Cisco, AT&T Labs and many more.
PROGRAM AT A GLANCE
Duration
6 Months
Practical Training
150+ Hours
Mode
Live Hands-on Training
Core Focus
5G/6G Protocol Development
Career Direction
AI-RAN, RAN optimization, Open RAN, telecom AI/ML and network intelligence
Program
5G/6G AI-RAN & Intelligent Networks
Learning focus
RAN • Open RAN • O-RAN • AI/ML • RIC • xApps • rApps • Network Analytics • Intelligent Optimization
Learning Approach
Telecom foundations followed by data analysis, AI/ML use cases and guided practical projects
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Frequently Asked Questions
Advanced AI/ML knowledge is not a prerequisite for the introductory sections. Basic programming and networking familiarity will help you progress through the practical work.
No. AI-RAN focuses on applying AI and related computing approaches to radio access networks. The goal may include improving network performance, efficiency, automation or other RAN functions.
Yes. The program introduces their architecture, the roles of RIC components, and the concepts behind xApps and rApps.
The course is designed around guided, practical exercises and projects. Access to virtual live Network and RAN equipment is guaranteed and available lab environment.
Relevant directions include AI-RAN, RAN optimization, Open RAN integration, telecom AI/ML and network analytics. Specific roles may require additional radio, protocol, software or production AI experience.
Build Your Future in Intelligent Telecom Networks
Develop. Debug. Test. Automate.
Combine telecom engineering with AI/ML, RAN analytics and intelligent optimization skills. Understand the technologies shaping the transition from traditional radio networks toward AI-enabled 5G and emerging 6G systems.
Start Your Journey as a 5G/6G Protocol Software Engineer.
Primebit Solution — Practical Training for Modern Engineering Careers
- 5G/6G
- AI-RAN
- Open RAN & RIC
- Network Analytics
- Intelligent Automation
Analyze the RAN telemetry. Build the intelligence. Shape the future of AI-native wireless networks.