Our Offerings
- Governance
- Gen AI Strategy
- Responsible AI (RAI)
- Risk Management Framework (RMF)
- Security & Privacy
- Guardrails
- Rule, Regulations, Policies and Compliance
- Set-up AI CoE
- Set-up AI Factory
- Generative AI Discovery & Workshop
- Infrastructure & Architecture Planning
- Generative AI Platform Selection
- Solution Design & Architecture
- Tools, Techniques, and Frameworks
- LLM Evaluation Based on Use Cases
- Governance
- SLM/Model Development & Training
- Configuration & Development
- Prompt Engineering, Template Creation
- Prompt Tuning / Soft Tuning
- Fine-tuning / Transfer Learning
- Model Validation
- Inferencing
- Monitoring, Maintenance & Optimization (MMO)
- Tracking, Upkeep & Enhancement

What We Offer
- POWER CHAT starting with $1,599 as one time dpeloyment fees and there after $99 per million tokens.
- Platform Agnostic Chatbot Solution.
- Implement on any AI Platform
- Integrate with any type of application on any device
- Readymade Chatbot to be integrated with your Website, Documents and Databases within few hours to start talking to your Data.
- Packages Solution: As a Packaged Solution, Chatbot to be implemented in your environment to be used by unlimited number of users.
- AIaaS: Implement as AI as a Service without need of any infrastructure, AI Platform, Tools and Techniques within few hours. Pay monthly by # of users and # of messages per month.
- Features
- Configure as per your budget
- Chat with
- Website only
- Documents only
- Database only
- Website & Documents
- Website, Documents & Databases
- Use Cases
- Proposal Building
- Issues / Resolution
- Summarization
- Extraction
- # of Users
- # of Tokens
- LLM (Proprietary / Open Source)
- Accuracy
- Performance
- Creativity
- Chat with
- Configure as per your budget
- Platform Agnostic Chatbot Solution.
- Custom Gen AI Development
- RAG Architecture
- Non-RAG Architecture
- Knowledge Graph (Neo4J)
- Automation of Repetitive Tasks
- Gen AI Integration with Heterogeneous Platform
- Concept Based Development
- Text-2-Text, Text-2-Speech, Speech-2-Text, Speech-2-Speech, Text-2-Picture, Text-2-Video etc.
- 3. Data Automation
Learn More - Develop a Curated Intelligent Data Platform (CUID) for data-driven decision-making.
- Implement Batch and Real-time Data Ingestion.
- Create Data Pipelines for Batch and Real-time Integration.
- Leverage LLMs to clean, analyze, and prepare your data for Generative AI use cases.
- Assess Data Readiness for Decision-Making using LLMs.
- Ensure Data Quality and Trustworthiness with LLM Evaluation.
- Prepare data for tuning/training your selected LLM/SLM/Model
- Consulting & Placement (Rate Card)
- Empowering Businesses with Gen AI Expertise: Your Trusted Partner in Consulting and Talent Placement
- Learn More
- Gen AI SMEs & Program Manager
- USA Remote: $120 Offshore: $40
- Gen AI Solution Architect
- USA Remote: $130 Offshore: $45
- Gen AI / ML Engineer
- USA Remote: $110 Offshore: $40
- Gen AI SMEs & Program Manager
- Gen AI Training / Training
- 90 Hours Training
- Weekend
- Weekdays
- Daily
- 90 Hours Practical & Mentoring
- Shadowing on Product Development
- Resume Building
- Interview Preparation / Mock Interviews
- System Access
- Fees: $2,000
- 90 Hours Training

Generative AI Course Content & Hours
Course # | Gen AI Course Content | Generative AI Course Content & Hours | |
Topic Heading | Topic Description | Hrs | |
1 | Book a FREE Generative AI Introduction and POWER CHAT Demo/Discussion Session. | Email us at [email protected], and we will respond within 48 hours to arrange a discussion with our experts at a time that suits your schedule and aligns with your requirements.” | 1 |
2 | Gen AI & AI Introduction | Introduction to Course + What is Data Science, Gen AI, AI & ML | 2 |
3 | Infrastructure, AI Platform, Tools & Techniques | Gen AI Infrastructure, Cloud Intro (Azure, AWS, Azure, IBM) Architecture & Components, Tools, Techniques & Frameworks | 2 |
4 | AI Strategy | Gen AI Strategy, AI CoE, AI Factory | 4 |
5 | Responsible AI | Responsible AI & Risk Management Framework | 1 |
6 | AI Approach | Gen AI Implementation Approach: Phases, Stages, Milestones & Deliverables | 1 |
7 | AI Offerings | Gen AI Offerings & Portfolio: Objective, Use Cases, Tools, Techniques, Frameworks, Deliverables and Q&A | 1 |
8 | Python | Python (Simple Data Types , List, Set, Tuples, Dictionary, Loop , Functions, Classes, Array) | 4 |
9 | Data Management | Data Processing Using Python (Ingestion, SQL, Panda, Visualization, Quality, Transformation, Analysis, Visualization, Integration, Labeling, Featuring etc.) | 4 |
10 | Gen AI Architecture | Gen AI MS Azure End-2-End Architecture & Components Walkthrough | 2 |
11 | Azure AI Platform | MS Azure ML Configuration (Azure AI & Open AI Services, ML Studio, Open AI, Flows) | 6 |
12 | Azure AI / Local Dev Env. Setup | Generative AI: Development Environment Setup | 2 |
13 | Python/PyTorch/Tensorflow | PyTorch & ML & Deep Learning (Data Prep, Libraries, Model, LLM, Algorithm (Classification, Regression, etc.) | 6 |
14 | LLM Transformer Architecture | Model/LLM: Creating, Training, Testing, Validation, Finalize, EndPoint,Deployment, Use | 2 |
15 | LLM Learning | Understand Learning: Supervised, Un-supervised, Re-Reinforcement, Clustering etc. | 2 |
16 | LLM Conceptualization | LLM Conceptualization: Architecture, Text-2-Text, Text-2-Image, Text-2-Speech, Speech-2-Text etc. | 2 |
17 | LLM Accuracy | Metrics: Evaluation and Accuracy Metrics etc., How to check LLM Accuracy? | 2 |
18 | LLM Evaluation Metrics | LLM Evaluation: How to Select LLM by Use Cases | 2 |
19 | Data Preparation using LLM | Data Preparation using LLM (Quality, Labeling etc.) | 2 |
20 | Prompt Engineering/Template | Prompt Designing, Engineering & Template | 2 |
21 | Prompt Tuning / Soft Tunning / Fine-tuning/TL | Training LLM using Prompt Tuning, Soft Tuning, Fine-tuning, Transfer Learning | 2 |
22 | Governance: AI Security / Provacy | Gen AI Security: Guardrails, Encryption, VN, Certificates etc. | 2 |
23 | Gen AI App Building | Infrastructure, AI Platform, Tools, Techniques, Framework, Langchain, Agents | 6 |
24 | Open AI LLMs | Open AI Platform and Proprietary LLMs | 2 |
25 | Huggingface & LLMs | Huggingface Platform and Open Source LLMs | 2 |
26 | RAG, Langchain, Agents | RAG Architecture, Langchain, Vectors, Index, Agents, Chains, Retrieval etc. | 8 |
27 | Inferenecing / Deployment | Gen AI: Deployment, Monitoring, Maintenance & Optimization using Azure AI | 2 |
28 | MMO | Maintenance, Monitoring and Optimization | 2 |
29 | Gen AI Solution: Website Chatbot | Solution to implement Chatbot with Website | 4 |
30 | Gen AI Solution: Documents Chatbot | Solution to implement Chatbot with Documents | 2 |
31 | Gen AI Solution: Database Chatbot | Solution to implement Chatbot with Database / RDBMS | 2 |
32 | Gen AI Solution: Knowledge Graph | Understand Chatbot with multiple Databases using Knowledge Graph Neo4J | 2 |
33 | Gen AI Solution: Automation | Solution for automating manual repetitive tasks | 1 |
34 | Gen AI Solution: Code Generation, Debugging | Solution to write Code / Debugging using LLM | 1 |
35 | Gen AI Project | Generative AI: Gen AI Project/Product Building – Chatbot Development and Deployment | 3 |
36 | Gen AI Advisory | Gen AI Advisory: Resume Preparation, Mock Interviews, Practical Projects, Guidance for Interviews & Projects, Placement etc. | 6 Weeks |
Total | 90 |