AI Masterclass for Telecom Professionals
Course Overview
As the telecom industry accelerates its adoption of Artificial Intelligence (AI), professionals must stay ahead by mastering cutting-edge technologies that drive network optimization, predictive maintenance, enhanced customer experience, and autonomous operations.
This comprehensive 5-day AI Masterclass provides deep insights into the transformative impact of Machine Learning (ML), Deep Learning, and Generative AI in modern telecommunications. Participants will explore the complete AI landscape for telecommunications, including:
- Neural Networks and Transformers for telecom applications
- Advanced Natural Language Processing (NLP) for automated customer support
- Large Language Models (LLMs) and Small Language Models (SLMs) for intelligent systems
- Reinforcement Learning (RL) strategies for 5G network optimization
- Agentic architectures and Autonomous Networks implementation
- Diffusion Models and Generative Adversarial Networks (GANs) for synthetic data
- MLOps practices for deploying scalable AI systems in telecom environments
- AI Ethics and Trustworthiness frameworks for responsible implementation
- AI for Security and adversarial defense mechanisms
Target Audience
- Telecom engineers and professionals who are keen on expanding their skillsets in AI
- Professionals working in roles related to network operations, service delivery, RAN engineers, and customer experience within the telecom industry
Duration & Training Format
- Classroom: 5 days
- LIVE Virtual: 35 hours
*Note:
- A minimum of 8 or more participants is required for a Classroom session to commence.
- A minimum of 6 or more participants is required for a LIVE Virtual session to commence.
- LIVE Virtual courses can be conducted for 5 hours or 7 hours daily. Please note that the number of training days will be extended if you opt for 5 hours daily.
Upcoming Course Dates
26 – 30 May 2025 (Mon – Fri), GMT +8
13 – 17 Oct 2025 (Mon – Fri), GMT +8
If you are keen on attending the above courses, please register your interest via our course enquiry form.
Course Objectives
By the end of the course, participants will be fully equipped with the knowledge and skills necessary to lead the AI-driven transformation in telecommunications. They will be able to:
- Design and deploy AI-powered network diagnostics
- Implement self-healing network capabilities
- Develop predictive analytics for infrastructure management
- Create AI-driven customer service solutions
- Optimize operational costs through intelligent automation
Course Outline
- Introduction to AI and its Role in Telecoms
- Understanding AI
- Understanding Machine Learning
- Understanding Deep Learning
- The Role of AI in Telecom
Hands-on:
- Introduction to AI/ML Tools and Frameworks
- Introduction to Python Programming Basics, Syntax, Data Structures, and Control Flow
- Demystifying AI Technologies
- AI System Design
- Exploring Natural Language Processing
Hands-on:
- Exploring Key Libraries and their usage in AI
- The High-level Structure of an AI App
- Deep Learning and Telecom-centric AI Architectures
- The AI Product and the Role of Data
- Advanced Deep Learning
- Designing Telecom AI Systems
- Hands-on: Python for Deep Learning
Hands-on:
- Python for Deep Learning
- AI Deployment, Management, and Operations
- AI Life Cycle Management
- AI Deployment in Telecoms
- Challenges in AI Implementation
- Deployment Considerations
- Scaling AI
- Microservices, Containers, Kubernetes, and Serverless Deployments
- Monitoring and Updating Models
Hands-on:
- Exploring Tools (eg. MLFlow, TensorFlow Extended, Kubeflow) and how they fit into the ML Lifecycle
- Packaging and Serving AI Models – Docker Containers, Flask, FastAPI
- Advanced AI Topics and AI Ethics
- Advanced AI Concepts
- AI and Ethics
- Trustworthy AI
- Future of AI
Hands-on:
- Python for Trustworthy AI
Note: A Certificate of Completion will only be issued upon achieving at least 75% attendance for the course.
Pre-requisites
A basic understanding of programming and telecom operations, along with a high-level understanding of how modern software works would be beneficial.
Get Your Official Course Brochure
Download the official course brochure for a detailed overview, including key learning outcomes, training benefits, and testimonials. This brochure is designed for easy submission to management for approval and budget considerations.
Ready to Take the Next Step?
Start your learning journey and advance your expertise! Submit a course enquiry today, and our team will get back to you within 24 hours with all the details you need to enroll.
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