1:1 AI Agent Architecture Mentoring Series

Amey Potnis

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1:1 AI Agent Architecture Mentoring Series
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2,400
60 mins

AI Agent Architecture Mentoring Series (1:1)

₹2,000 per session

Building AI Agents as part of your KRA, innovation roadmap, or digital transformation initiative?

This personalized mentoring series is designed for technology developers, leaders, architects, and senior engineers who want to understand, design, and implement AI Agent solutions in enterprise environments.

The program follows a progressive path, allowing each session to adapt to your experience level, business objectives, and architectural challenges.

Session Roadmap

Session 1: AI Agent Fundamentals & Architecture Landscape

  • AI Agent concepts and enterprise use cases
  • Architecture patterns and system boundaries
  • Identifying suitable AI opportunities

Session 2: LLM Selection & Strategy

  • Choosing the right LLM
  • Cost, performance, privacy, and deployment considerations
  • Model evaluation approaches

Session 3: Tool Calling & Enterprise Integration

  • Connecting agents with applications, APIs, and databases
  • Integration patterns and design decisions

Session 4: Vector Database

  • Relevance search
  • Embedding models

Session 5: Scalability & Operations

  • Production deployment
  • Monitoring, and cost optimization

Session 6: Testing, Security & Governance

  • Testing AI Agents
  • Security controls and risk management

Personalized Mentoring

Bring your own architecture challenge, AI initiative, or implementation roadmap. Each session can be customized to your specific requirements and technical environment.

Ideal For

  • Technology Leaders
  • Enterprise Architects
  • Solution Architects
  • Principal Engineers
  • Engineering Managers
  • Technical Leads

Pricing

  • ₹2,000 per session
  • The next session will be planned based on your learning progress, business objectives, and implementation requirements.
  • No requirement to purchase the complete series

Outcome

Gain practical knowledge of AI Agent architecture, LLM selection, enterprise integration, scalability, testing, and governance strategies that can be applied directly to real-world projects.