1 / 8

Building Internal Generative AI Tools

Learn how to develop internal GenAI tools from scratch with expert-backed strategies. Boost enterprise efficiency through generative AI training and agentic AI certification.

Smriti10
Télécharger la présentation

Building Internal Generative AI Tools

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Building Internal Generative AI Tools • From Idea to Execution • Learn how to turn internal GenAI concepts into powerful tools with the help of training, certification, and best practices.

  2. Why Build Internal GenAI Tools? •Boost productivity • Enhance internal communication • Improve knowledge management • Streamline onboarding processes

  3. Step 1: Ideation & Use Case Identification • Identify high-impact, repetitive internal tasks. • Examples: Chatbots, report generation, HR/IT support tools, and code review assistants.

  4. Step 2: Skill Up with GenAI Training • Learn foundational concepts • Practice with real tools (OpenAI, LangChain) • Master prompt engineering & responsible AI • Reduce development time

  5. Step 3: Define Scope & Infrastructure • Start with a Minimum Viable Product (MVP). • Focus on security, hosting strategy, and clear KPIs. • Use GPT-4, Claude, or open-source models.

  6. Step 4: Use Agentic AI Frameworks Agentic AI Certification empowers your team to: • Design autonomous agents • Build multi-step workflows • Enhance scalability and reliability

  7. Step 5–7: Build, Test, and Scale • Fine-tune with internal data • Test with small teams • Monitor and iterate • Establish AI governance practices

  8. Why Certification Matters A Generative AI course with certificate: • Validates skills • Provides structured learning • Builds stakeholder trust • Connects you with expert communities

More Related