Dear Partner, We are exploring the training on Agentic AI. Please share the trainer profiles and TOC by earliest next week. At this point, this is at a planning stage so not tentative dates for the program, but it would be virtual. The specifics of the Agentic AI requirement are focused on ‘Developing RAG AGI Agents’ as needed by one of our client in networking domain. So please send the standard TOC. In addition to the standard TOC, please share a version which includes the delta from the detailed requirement mentioned below. Detail Input Remarks Expected Business Outcome To help the customer generate savings by automating work Learning Outcome 1) As per Jira, increased efficiency by reducing time taken to complete current repetitive work as per Storyboard 2) Gen AI use cases will be created by the customer. Brillio will need to adapt the Gen AI used cases in current projects. Have to use, customize and optimize the agents 3) Build abilities to develop GenAI based RAG or other type of agent to automate some of the development work being done today for the customer; modify the developed AI agent to meet project needs; and ability to optimise the AI agent to keep the relevant. Examples of areas where efficiency can be improved are: 1) Reduction of time on laborious tasks post completion of training. For e.g data migration from legacy to current including mapping, spec sheets and time for analysis 2) Reduction of time taken for discovery, including reading from network, analysis and storage in our systems Key Skills to be trained on 1. Natural language processing (NLP) – 1. Basics of Natural language processing 2. Technical knowhow of effective prompt engineering (Advance prompt Eng. ) 2. LLM. – 1. Deep dive, how it works, 2. how we do model training, 3. error correction and optimisation 4. RAG 3. Vector DB 1. Embedding 2. Data processing 3. Augmentation 4. Visualization technique 4. AI Agent development framework - Azure AI Agent Service and tools