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LearnerBox Infosystems LLP

Enterprise AI & Agent Engineering

Design, deploy, govern, and scale enterprise-grade AI systems.

PROGRAM 3

Enterprise AI for Working Professionals

This program is designed for professionals, technical leaders, consultants, managers, entrepreneurs, and experienced developers who want to design, deploy, govern, and scale enterprise-grade AI solutions.

Explore Free Track Register for Premium Access

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Enterprise Focus

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4 Free Modules

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16 Premium Modules

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Agents & Automation

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Governance & Security

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Professional Certificate

Program Overview

The Enterprise AI & Agent Engineering Program focuses on advanced Generative AI, Agentic AI, Multi-Agent Systems, Enterprise RAG, AI Security, MLOps, LLMOps, Cloud AI, and AI Product Strategy.

Learners gain the skills needed to lead AI initiatives, architect intelligent systems, and deliver measurable business value through AI transformation.

Who Should Enroll?

  • Managers, directors, and business leaders
  • Consultants and entrepreneurs
  • Team leaders exploring AI automation
  • Software engineers and AI engineers
  • Solution architects and technical consultants
  • Product managers and technology leaders

Learning Outcomes

By completing this program, learners will be able to:

  • Identify AI opportunities within organizations
  • Use LLMs effectively for business productivity
  • Automate routine business tasks
  • Design advanced RAG architectures
  • Implement multi-agent systems
  • Build AI systems using LangChain, LangGraph, CrewAI, AutoGen, DSPy, Semantic Kernel, and OpenAI Agents SDK
  • Secure AI systems against prompt injection and other threats
  • Deploy scalable AI infrastructure
  • Implement MLOps and LLMOps workflows
  • Lead enterprise AI transformation initiatives

Free Track: Executive AI & Business Automation

The free track helps professionals understand AI capabilities, identify business opportunities, and begin implementing AI-powered productivity and automation solutions.

Module 1: Large Language Models & Enterprise NLP

Understand how modern language models represent text, process context, generate responses, and support enterprise-scale AI applications.

Open Module

Module 2: Enterprise AI Frameworks

Study LangChain, Semantic Kernel, CrewAI, AutoGen, and DSPy to make informed architectural decisions in enterprise environments.

Open Module

Module 3: Agentic AI & Multi-Agent Systems

Transition from deterministic orchestration to dynamic, stateful problem-solving engines and multi-agent teams using LangGraph.

Open Module

Module 4: Enterprise AI Deployment & Governance

Transition from prototype to production by building secure, scalable, observable, and compliant enterprise AI stack architectures.

Open Module

Premium Track: Enterprise AI & Agent Engineering

The premium track develops the expertise required to architect, deploy, govern, and scale enterprise AI systems and intelligent agent ecosystems.

  • Enterprise Python and data engineering
  • Machine learning and deep learning
  • NLP and LLM foundations
  • Advanced RAG engineering and vector databases
  • AI agent engineering with LangChain and LangGraph
  • Advanced agentic AI, MCP, and multi-agent systems
  • Enterprise frameworks including CrewAI, AutoGen, DSPy, Semantic Kernel, and OpenAI Agents SDK
  • AI security, governance, prompt injection defense, and compliance
  • API and integration engineering
  • Cloud AI, MLOps, and LLMOps
  • AI product development and enterprise solution architecture

Enterprise project examples include HR Copilot, Legal Copilot, Research Agent, Healthcare Knowledge Assistant, Sales Intelligence Platform, and Enterprise Multi-Agent System.

Register for Premium Access

Career Outcomes

Potential roles include:

  • Senior AI Engineer
  • GenAI Engineer
  • AI Solutions Architect
  • AI Product Manager
  • Agentic AI Engineer
  • AI Consultant
  • AI Transformation Lead
  • Enterprise AI Architect