Maven – Building Gen AI Agents for Enterprise: Beyond the Hype 2025-5

Maven – Building Gen AI Agents for Enterprise: Beyond the Hype 2025-5 Downloadly IRSpace

Maven – Building Gen AI Agents for Enterprise: Beyond the Hype 2025-5
Maven – Building Gen AI Agents for Enterprise: Beyond the Hype 2025-5

Building Gen AI Agents for Enterprise: Beyond the Hype, Master the what, why, and how of Generative AI by building Enterprise-Grade Agents that go beyond the basics and actually move the needle We’re living through one of the most transformative periods in the history of computing — and Generative AI is at the heart of it. From content creation and personalized customer support to autonomous decision-making and intelligent search, GenAI is rapidly redefining how businesses operate, how knowledge is accessed, and how software is built. You’ve likely experienced this firsthand: vendors promising AI solutions that will transform your business overnight, countless products with overlapping capabilities, and the nagging question: “Which of these actually solves our unique problems?” Our startup has worked with organizations across fintech, supply chain, consulting, and manufacturing sectors, and we’ve consistently encountered the same challenge: businesses know AI matters, but struggle to identify concrete use cases that deliver measurable ROI. This course addresses precisely that gap—helping you cut through the noise to identify, build, and deploy GenAI applications that create actual business value. Building GenAI Agents for Enterprise Use is designed to give you a laser-focused and in-depth view of real-world GenAI applications. What sets this course apart is our relentless focus on the “what” rather than just the “how.” While many courses dive directly into technical implementation, we prioritize use case identification, business value assessment, and strategic deployment considerations that matter to non-technical leaders. You don’t need a programming background to succeed here. For business professionals who want to understand the capabilities without getting lost in the code, we’ve designed an experience that emphasizes concepts, applications, and outcomes.

What you’ll learn

  • Understand the GenAI Landscape Cut through the noise and get a clear grasp of how LLMs, RAG, and Agents fit into real-world enterprise workflows.
  • Build Production-Ready AI Agents Learn how to design and deploy AI Agents that go beyond simple Python scripts — handling reasoning, memory, retrieval, and tool use.
  • Deliver Business Impact Map Agent use-cases to measurable ROI — from automating internal knowledge retrieval to customer service, market analysis, and more.
  • Customize & Scale Your Solutions Fine-tune domain-specific models, design feedback loops, and deploy with guardrails.
  • Capstone + Demo Day Work on a real-world Agent project and showcase it to a private network of peers, builders, and mentors.

Who this course is for

  • Product Managers looking to integrate GenAI into their roadmaps with clarity and confidence
  • Technical Leaders and Architects who want to build scalable and safe GenAI systems
  • Startup Founders & Innovation Teams aiming to create competitive GenAI-powered products
  • Data Scientists & ML Engineers who want to go beyond notebooks and deploy impactful GenAI apps
  • Consultants & Enterprise Strategists exploring GenAI adoption and implementation strategies for clients

Specificatoin of Building Gen AI Agents for Enterprise: Beyond the Hype

  • Publisher : Maven
  • Teacher : Hamza Farooq
  • Language : English
  • Level : All Levels
  • Number of Course : 6
  • Duration : 12 hours and 26 minutes

Content of Building Gen AI Agents for Enterprise: Beyond the Hype

Building Gen AI Agents for Enterprise_ Beyond the Hype

Requirements

  • If you haven’t written code before, no worries at all. We will provide you with everything you need to get started.

Pictures

Building Gen AI Agents for Enterprise_ Beyond the Hype

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : Not Available

Quality: 950p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 244 MB

File size

3.23 GB