Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Become an OCI Generative AI Professional (1Z0-1127-25).
Rating: 3.7 out of 5(2 ratings)
3 students

Become an OCI Generative AI Professional (1Z0-1127-25).

Pass the 1Z0-1127-25 exam! Master OCI Generative AI, RAG, LangChain, and Model Fine-Tuning.
Created bySashi Perera
Last updated 11/2025
English

What you'll learn

  • OCI Generative AI service features (endpoints, fine-tuning, parameters)
  • Core Generative AI concepts (RAG, embeddings, prompting techniques)
  • Build RAG applications using LangChain components
  • Compare model tuning: PEFT, T-Few, & fine-tuning
  • Control LLM outputs via temperature, top-p, & penalties
  • Evaluate LLM quality, groundedness, & hallucinations
  • LangChain-specific components (LCEL, memory types, etc.)
  • Vector database concepts (embeddings, similarity, indexing)
  • Specific OCI Generative AI service features

Included in This Course

89 questions

  • OCI Generative AI Professional (1Z0-1127-25) Practice Test Questions 145 questions
  • OCI Generative AI Professional (1Z0-1127-25) Practice Test Questions 244 questions

Description

Want to pass the Oracle OCI Generative AI Professional (1Z0-1127-25) exam and earn your certification? This is the one course you need to build your confidence and master the required skills.

This is a comprehensive preparation course designed to walk you through every major topic, technical concept, and service you will face on the real exam. We will dive deep into the practical application of OCI Generative AI services, focusing on the core knowledge you need to move from being a user to being a certified professional.

Who is this course for?

This course is the ideal preparation resource for individuals who want to validate their skills and gain a deep, practical understanding of Oracle's Generative AI services. It is built for technical roles, including:

  • AI and Machine Learning Engineers

  • Software Developers and DevOps Engineers

  • OCI Cloud Architects

  • Data Scientists and Technical Business Analysts

What will you master for the exam?

We will cover every key domain from the certification, using practical examples and concept explanations based on the official exam topics. You will master:

  • Core OCI Generative AI Service: Understand the full suite of pretrained models (Generation, Summarization, and Embedding). Learn to deploy and manage these models using dedicated AI Endpoints and ensure your custom models are stored securely.

  • Retrieval Augmented Generation (RAG): Build a complete RAG system from the ground up. You will learn how to create numerical representations of text using Embeddings, store and index them in Vector Databases, fetch relevant context with Retrievers, and prioritize the results with Rankers.

  • Model Customization & Fine-Tuning: Go beyond the base models. You will master the differences between Vanilla fine-tuning (for large datasets), the cost-effective T-Few fine-tuning (for smaller datasets), and Parameter-Efficient Fine-Tuning (PEFT).

  • LangChain Framework: Get hands-on with LangChain, the essential framework for building LLM applications. You will learn to compose powerful applications declaratively with LangChain Expression Language (LCEL), manage conversation history with Memory types, and use Prompt Templates effectively.

  • Prompting & Model Control: Master the art of guiding your model. You'll learn advanced prompting techniques like Chain-of-Thought, Step-Back, and Least-to-Most prompting. You will also learn to expertly control model outputs by tuning parameters like temperature, top-p (nucleus sampling), top-k, and frequency/presence penalties to manage creativity and reduce repetition.

  • Foundational AI Concepts: We will solidify your core knowledge by evaluating model quality, distinguishing between "Groundedness" vs. "Answer Relevance", and identifying common failure modes like "hallucinations". You will also learn the difference between vector similarity metrics like Cosine Distance and Dot Product.

By the end of this course, you will have the deep technical knowledge required to pass the 1Z0-1127-25 exam and earn your OCI Generative AI Professional certification.

Enroll today and let's get you certified!

Who this course is for:

  • Any professional preparing to take the Oracle Cloud Infrastructure 2025 Generative AI Professional (1Z0-1127-25) certification exam.
  • AI and Machine Learning Engineers who want to specialize in building, fine-tuning, and deploying models on OCI.
  • Software Developers and DevOps Engineers tasked with integrating Generative AI capabilities into new or existing applications using frameworks like LangChain.
  • OCI Cloud Architects who need to design scalable, secure, and cost-effective Generative AI solutions.
  • Data Scientists looking to expand their skills from traditional machine learning to modern LLM-based solutions and fine-tuning techniques.
  • Technical Professionals and Business Analysts who need to deeply understand the capabilities of Generative AI to guide project strategy and implementation.

Report abuse