Pre-Training Survey (AI-Driven Transmission Networks: Optimization & Automation)
Training Date
Name
Job Title / Department
Mobile No.
Current Role & Experience - Primary area of responsibility
Years of experience in telecommunications / optical networks:
Prior exposure to AI/ML projects in telecom:
Rate your knowledge in the following topics on a scale from 1 to 5 (1=Some to None, 2=Basic, 3=Intermediate, 4=Advanced, 5=Expert) - Understanding of basic AI/ML concepts (supervised, unsupervised)
2. Familiarity with Python programming for data analysis
3. Experience with network simulation tools (e.g., NS-3, OMNeT++)
4. Knowledge of AI frameworks (e.g., TensorFlow, PyTorch)
5. Ability to interpret ML model outputs and metrics
Expectations & Learning Goals - What are your top 3 goals for this training?
Which modules/topics are of the highest priority for you?
What challenges do you currently face that you hope AI will address?
Technical & Logistics Check - Which environment will you use for hands-on labs?
Do you have the Python 3.7+ with pip installed and configured?
Do you have Jupyter Notebook or Lab installed and configured?
Do you have TensorFlow / PyTorch installed and configured?
Do you have NS-3 simulator installed and configured?
Do you have Git & GitHub access installed and configured?
If any of the above are “No”, would you like pre-training setup assistance?
Anything else we should know to make this training most effective?
Questions you hope will be answered during the course:
Thank you for submitting your pre-training survey. We shall review and endeavour to deliver a training that meets your learning objectives. Looking foward to meeting you soon!