Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) in Modern Telecommunications
3 DAYS
INSTRUCTOR LED WORKSHOP
“OUR COURSES CAN BE SPECIALLY TAILORED TO ADDRESS YOUR REQUIREMENT – TELECONTRAN”
COURSE OBJECTIVES
The integration of Artificial Intelligence (AI) together with Machine Learning (ML) and Deep Learning (DL) in telecommunication networks is revolutionizing the industry by enhancing network management, improving operational efficiency and user experience and enabling next-generation technologies. Telecom operators that fully embrace AI would be better positioned to meet future challenges and capitalize on emerging opportunities such as, smart infrastructure, digital transformation and next-generation communication services.
The objective of Telecontran’s “Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) in Modern Telecommunications” workshop is to present an overview of artificial intelligence (AI) along with system architecture, design principles, concepts of Machine Learning (ML) and Deep Learning (DL) and their application in telecom industry. The workshop also focusses on how AI and ML are applied across modern and next generation telecom networks along with implementation of scalable AI based networking system.
After successful completion of this course, participants will be able to
- Understand the impact and evolution of Artificial Intelligence, Machine Learning and Deep Learning and its role in modern telecommunication network.
- Familiarize with popular AI and ML tools and platforms, such as Python, used in the Telecom industry.
- Learn the implementation of Artificial Intelligence in 5G Networks for network management, analytics, energy efficiency and network slicing.
- Gain foundational knowledge of Generative Artificial Intelligence along with foundational principles, key technologies as well as some use cases.
- Explore the ethical considerations and regulatory challenges of implementing Artificial Intelligence in Telecom industry.
COURSE CURRICULUM
This course targets telecom engineers and professionals, business managers and executives, project managers, marketing and sales professionals, HR professionals, customer experience team, financial analysts within telecom industry.
Modern and Next Generation Telecommunication Industry
- Evolution of Telecommunication Technologies
- Challenges in Telecommunications Industry
- Digital Transformation in Telecommunications
- Key drivers and challenges of Digital Transformation
- Emerging Technologies (5G / 6G / IoT / AI) and Implementation
Artificial Intelligence (AI) in Modern Telecommunication
- Evolution of Artificial Intelligence
- Types of Artificial Intelligence
- Applications of AI in Telecommunications
- Impact and Principles of AI
- Ethics and Regulation of Artificial Intelligence
Machine Learning (ML) and Deep Learning (DL) Fundamentals
- Evolution of Machine Learning
- Methods of ML
- Neural Networks and Deep Learning Architectures
- Training Deep Learning Models
AI Tools and Python Programming
- Basics of Python Programming
- Python Tools for AI
Generative Artificial Intelligence in Modern Telecommunication
- Importance of Generative AI in Telecommunications
- Types of Generative Models
- Applications of Generative Models in Various Industries
Generative Adversarial Networks (GANs)
- Understanding GANs
- Architecture of GANs
- Applications of GANs in Telecommunications
Variational Autoencoders (VAEs)
- Introduction to Variational Autoencoders
- Architecture of VAEs
- Applications of VAEs in Telecommunications
Use Cases of Generative AI in Telecommunications
- Network Optimization and Management
- Content Creation
- Predictive Maintenance
- Synthetic Data Generation
- Fraud Detection and Security
- Customer Experience Enhancement
Deployment of AI, ML and DL in Telecom Industry
- Deployment Consideration
- 5G Network Analytics
- Network Data Analytics Function (NWDAF)
- NWDAF and Machine Learning
- AI in Network Function Automation
- Network Energy Saving
- RAN Intelligent Controller
- MIMO, Beamforming and Mobility Optimization
- Containers, Kubernetes and Serverless Deployment
Challenges and Future Directions
- Ethical Considerations
- Regulatory Challenges of Implementing Artificial Intelligence
- Trustworthy Artificial Intelligence
- Future Trends in Generative AI for Telecommunications
TRAINING/WORKSHOP | DURATION | TRAINING DATE | LOCATION |
Business Innovation through Artificial Intelligence (BIAI) and IOT | 3 Days | 3rd Feb. - 5th Feb., 2025 | Bangkok, Thailand |
OUR HAPPY CLIENTS
WHAT OUR CLIENTS SAY ABOUT TELECONTRAN !!
Content of the course covers well in the area of Project Management.
This course improved my knowledge in ICT Project Management that will surely help me to handle upcoming Government ICT related projects.
The workshop is full of technical information and terms and in-depth knowledge about telecommunications.
The content of the material is well structured and interconnected and the workshop provided well explanation on spectrum management, ICT development and new emerging technologies.
