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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Video and Text Based |
Course Overview
The PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud course is provided online by the Indian Institute of Science. This provides all the enrolled professionals with the understanding of in-depth knowledge of 5G technologies. The candidates get to explore different 5G technologies that will help in AI or cloud development. Also, the candidates can either choose the 9 months or the 6 months online executive course to strengthen their learnings.
With the PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud training the candidates will be able to apply, then analyze, and finally, evaluate the learning so that they can increase their deep expertise in the field of 5G. Moreover, the candidates shall become alumni of one of the top-ranking institutions IISc which will open up great opportunities in the long run.
The Highlights
- Live interactive sessions
- 9 or 6 months executive course
- Campus visits to IISc
- Taught by IISc Faculty
- Course delivery is online
Programme Offerings
- Campus Visit
- Sessions with experts
- Case Studies
- Projects
- Self-learning Content
- 2 Programme options
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IISc Bangalore |
The PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud fee by TalentSprint is variable depending on 6 or 9 months course option selection by the students. Also, different EMI options may also be offered for these 2 variations. Moreover, the candidates will also have to bear an application fee and 3 days of a campus visit to the IISc campus. Also, the entire fee once paid cannot be refunded under any circumstances. A detailed structure has been provided below:
PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud Fee Details
Description | Amount in INR |
Course Fee, 9 Months | Rs. 3,20,000 + GST |
Course Fee, 6 Months | Rs. 2,80,000 + GST |
Application fee | Rs. 1000 |
3 days campus visit | Rs. 6000/day |
Eligibility Criteria
Work experience
The technical working background of the candidate is a must.
Certification Qualifying Details
Once all the requirements including assessments, and evaluations are completed the students will be getting the PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud by IISc.
What you will learn
After the PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud syllabus, the students will be learning:
- Understand and also learn to apply different applications of 5G
- Understanding the different key business areas that are responsible for 5G solution building
- Finally, the candidates will be building and running the 5G system.
Who it is for
The PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud course is ideal for
Admission Details
To get admission to the PG Level Advanced Certification Programme in 5G Technologies with AI and Cloud classes, the students can follow these steps:
Step 1: Follow the official URL: https://iisc.talentsprint.com/5g/index.html
Step 2: Start by taking the help of a relationship manager for application to the programme.
Step 3: Then the final selection will be based on certain criteria set by IISc.
Step 4: After selection joining the programme is possible.
The Syllabus
About the course and coverage
Back to basics
- Revisit Cellular communication systems
- Basics of Cellular architecture, the need for cell structure
- Ingredients of Mobile communications and Cellular fundamentals
Mobile communications and evolution (2G to 5G)
Spectrum for Mobile communication, Cell planning and concept of frequency reuse
Packet data networks in the light of cellular communication
5G Network
- 5G Terminology
- Principles of 5GNR architecture and operation
- Specific interfaces that support split architecture models
5G Network elements and system overview
- Elements of RAN and Core network
- Deployment models – SA and NSA
- Dual connectivity models
- Network slicing
- Network management fundamentals
Standards revisited
- 3GPP standards and release numbers and significance
- Overview of FR1 and FR2 standards
- Physical and access layer standards
The 5G Technology – Theory
- 5G NR PHY layer: PHY layer fundamentals and design discussion, Frame and slot structure, Resource
- blocks, Frequency bands, Numerology and Resource Block
- 5G Scheduler explained: High-level Principles of MAC layer design, MAC scheduler models and
- 5G design
- Radio Resource Control state machine
- Transmission modes in 5G
- Basics of digital modulation techniques employed in 5G system
- Coding schemes
- CODECs used in 5G at gNodeB and UE
Assignment-I: Study of network elements and submit an assignment Study and prepare a report on the selected activity from the following options
- TOPIC1: Data connection from a GPRS network to 5G
- TOPIC2: List of Control plane protocols and 5G control plane model
- TOPIC3: Call setup model in 5G NR
- TOPIC4: Signal dynamics and user connection handling on cell-edge scenario
Opensource 5G/4G systems
- Opensource platforms - OAI RAN and SRS-RAN
- Practical 5G - Building blocks of OAI: Architecture of gNodeB stack, Architecture of UE stack
- OAI supported hardware and instructions to configure and use with host systems
The 5G implementation
- 5G implementation using OAI codebase as reference
- Functionality map to the file/functional level against standards
- Threading architecture used in OAI implementation
5G Technology – Practical session
- Demonstrate the MAC/PHY operation using OAI - Run the OAI system with different MCS values using RFSIM
5G Case Study – 1:
- Define the case study structure
- Participants pick a topic from the given list, prepare and present
Quiz/Test - A short quiz on 5G general principles and PHY understanding
Hardware and Tools - Practical session
- Connect the system using RFSIM or B210/X310 with SMA cables and with antennas, run the system with different MCS values and check the data throughput against the theoretical calculations
Principles of SDRs and drivers – Concept of Split-8 architecture
- Principles of DAC/ADC operation
- Sampling and re-sampling of signals
- Introduction to the hardware platforms, FPGAs and design of drivers
5G Procedures
- NAS procedures
- RRC procedures
- UE procedures
- Connection and Mobility management
- Physical layer procedures for data handling
OAI simulators - Practical session/ Demonstration of simulators usage
- Design principles and usage of simulators in OAI 16.2
- gNB sim, RFSIMULATOR, Channel simulators, PHYSIM
- Run the OAI system with selected set of simulators (Assignment)
Introduction to O-RAN
- Why O-RAN?
- Components of O-RAN system
- Architecture framework and interfaces/libraries
- Acceleration technologies – DPDK fundamentals
Run the 5G OAI system in the lab – Practical session
- Observe the constellation using RFSIM
- Repeat the experiment with B210/X310
5G Case Study – 2: On selected RAN architecture by participant groups. Participants can select topic of their interest, relevant to the 5G system. Prepare and present.
Code level practical hands-on session
Run the 5G system using RFSIM or SDR in the lab - change the modulation scheme, build the code and run the system
5G Case Study – 3: Instructor presents the V2X system
Practical hands-on session - Run the 5G system with core network
Case Study – 4: One any selected topic by participant groups
- TOPIC1: extended Reality in 5G
- TOPIC2: IoT applications (Any 2 per group)
Role of AI/ML models in 5G (Guest lecture)
. Into the future generations – Reconfigurable Intelligent Surfaces (RIS)
- Principles, fundamentals, limitations, and research trends in RIS
Quiz/Test - On 5G general principles and design/implementation of PHY
An open day in 5G Lab all wings and graduation ceremony
- FR1-FR2 integration demo
- Demonstration of VLC systems subject to feasibility at that point in time
- V2X demo subject to feasibility at that point in time
AI/ML applications for network management
- 5G RAN Network deployment in cloud – typical scenarios
- Fundamental Concepts of RIC and RAN management and use of XAPPs
Cloud-enabled AI-based 5G applications
- Healthcare
- Vehicle to Infrastructure V2X
- Smart cities
- Industry 4.0
- Agriculture applications
- Autonomous navigation – UAV/UGV
Instructors
IISc Bangalore Frequently Asked Questions (FAQ's)
Yes, the HRD ministry has approved this course.
From the day the programme commences, the candidates will be allowed access for 1 whole year to the course learning materials.
The course fee under any situation will not be transferred or refunded to any student
If someone has an interest in learning the course online then they must have to have a laptop from which they can access everything.
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