Generative AI for Oracle Cloud Infrastructure (OCI)

SKU: 3126
4 Lesson
|
16 Hours

Get hands-on with Oracle's OCI Generative AI course and learn to build, fine-tune, and deploy LLM-powered applications through live, project-driven OCI Generative AI training designed for real cloud AI roles.

✅ Level – Beginner to Intermediate
✅ 16-Hour Live, Instructor-Led OCI Generative AI Training Course
✅ 100% Hands-On Labs on OCI Console, APIs & SDKs
✅ Curriculum Mapped to the Oracle Generative AI Professional Exam
✅ Real RAG, LangChain & OCI Generative AI Agent Projects
✅ Trainers with Live Oracle Cloud AI Deployment Experience

Generative AI For OCI Course Overview

Most people read about Generative AI. In this OCI Generative AI course, you build with it. igmGuru's instructors walk you through Oracle's Generative AI service inside a live OCI tenancy, starting with LLM fundamentals and prompt design, then moving into fine-tuning, retrieval-augmented generation, and AI agent deployment. By the end of this OCI Generative AI training, you will have shipped a working chatbot and a portfolio you can show in interviews, not just a certificate you can show nobody understands.

Prerequisites

There is no strict entry barrier for this OCI Generative AI online course - igmGuru designs the early sessions for beginners and ramps up quickly for learners who already work in cloud or data roles. That said, you will move faster if you walk in with:

  • A working knowledge of Python, since most labs and API calls run through Python
  • Familiarity with basic Machine Learning or Deep Learning terms such as models, training, and inference
  • Some exposure to cloud fundamentals - compute, storage, or identity and access management on any provider

None of these are mandatory. Trainers pace the first two sessions to bring non-technical learners up to speed before the labs begin.

Why Learn OCI Generative AI?

Enterprises are no longer experimenting with Generative AI on the side - they are rebuilding core workflows around it, and Oracle has positioned OCI as one of the few clouds that pairs foundation models with an in-database vector engine through Oracle Database 23ai. That combination lets companies run retrieval-augmented generation directly against their existing enterprise data, without shipping it to a third-party AI vendor, which is exactly why OCI Generative AI skills are showing up in job postings for cloud architects, data engineers, and application developers who never touched AI before 2023.

Taking a structured OCI Generative AI training course now, while the talent pool is still catching up to demand, puts you ahead of professionals who are only just starting to explore prompt engineering on their own. It also gives you a credible, verifiable skill set at a point when hiring managers are actively filtering resumes for hands-on OCI and LLM experience rather than theoretical AI knowledge.

Course Objectives

This OCI Generative AI training course is built around one goal - making you confident enough to build and ship real Generative AI solutions on Oracle Cloud.

  • Build a working understanding of how Large Language Models are trained, tuned, and deployed
  • Get comfortable operating inside the OCI Generative AI service through the Console, REST APIs, and SDKs
  • Learn to design prompts and fine-tune foundation models for specific business use cases
  • Develop the ability to architect and deploy Retrieval-Augmented Generation applications on OCI
  • Understand the security, governance, and responsible-AI practices Oracle expects in production environments

What You Will Learn

Across this OCI Generative AI classes, you will move from LLM theory to shipped, working applications on Oracle Cloud.

  • Core concepts behind transformer architectures, attention mechanisms, and language model behavior
  • Prompt engineering techniques that improve accuracy, relevance, and consistency of model responses
  • How to use OCI's pre-trained foundational models for generation, summarization, and embeddings
  • Fine-tuning approaches, including flexible and T-Few tuning, to adapt models to niche business needs
  • Setting up and scaling Dedicated AI Clusters for production-grade inference workloads
  • Building Retrieval-Augmented Generation pipelines using vector databases and semantic search
  • Integrating LangChain components - prompts, chains, and memory - into conversational applications
  • Deploying and configuring OCI Generative AI Agents backed by a custom knowledge base

Who Is This Course For?

This OCI Generative AI online training suits anyone who wants applied AI skills on a cloud platform, not just theory.

  • Software developers who want to add Generative AI features to existing applications
  • Cloud engineers and administrators looking to extend their OCI skill set into AI services
  • Data scientists and ML practitioners moving from classical models into LLM-based systems
  • IT professionals preparing for Oracle's Generative AI Professional certification exam
  • Technical consultants and architects who need to advise clients on enterprise GenAI adoption
  • Final-year students and early-career professionals aiming for a cloud AI specialization

Tools You Will Work With

  • OCI Console and OCI Generative AI Service
  • OCI Python SDK and REST APIs
  • LangChain framework for LLM application development
  • Oracle Database 23ai (AI Vector Search)
  • OCI Dedicated AI Clusters
  • OCI Object Storage and Compute instances
  • Jupyter Notebook / Python development environment

Skills You Will Gain

By the end of this OCI Generative AI training, you will be able to apply these skills on real projects, not just describe them in an interview.

  • Prompt engineering and output-tuning for enterprise use cases
  • Model fine-tuning and inference management on OCI
  • Retrieval-Augmented Generation (RAG) pipeline design
  • Vector embeddings, semantic search, and knowledge base creation
  • AI agent configuration and chatbot deployment
  • Responsible AI, data security, and governance practices on OCI

Career Outcomes

Completing this OCI Generative AI certification training positions you for roles where cloud skills and AI skills are now expected together.

  • Generative AI Engineer / Developer
  • Cloud AI Solutions Engineer
  • LLM Application Developer
  • Prompt Engineer
  • Conversational AI / Chatbot Developer
  • AI Consultant specializing in Oracle Cloud environments

Why Choose igmGuru for This Training?

igmGuru runs this OCI Generative AI training course as a live, cohort-based program rather than a pre-recorded video library.

  • Live instructor-led sessions with real-time doubt resolution
  • Small batch sizes so trainers can actually track individual progress
  • 100% practical labs built around the actual OCI Generative AI service
  • Trainers who have worked on live Oracle Cloud and AI deployments
  • Flexible weekday, weekend, and fast-track batch options
  • 24x7 lifetime access to session recordings and learning material
  • Certification guidance and job assistance after course completion

Key Features

Generative AI For OCI Modules

1. LLM basics (what they are & how they work)
2. Transformer architectures & attention mechanisms
3. Prompt design & prompt engineering
4. Fine‑tuning techniques
5. Code models, multimodal models, and language agents concepts
1. OCI Generative AI service overview & capabilities
2. Pre‑trained foundational models (generation, embeddings, summarization)
3. Flexible model fine‑tuning
4. Model inference & endpoint deployment
5. Dedicated AI clusters (setup & scaling)
6. Security architecture for Generative AI
1. Retrieval‑Augmented Generation (RAG) fundamentals
2. Vector databases & semantic search
3. LangChain basics (prompts, models, chains)
4. Memory & conversational enhancements
5. Deploying a chatbot on OCI compute
1. Overview of AI Agents
2. Knowledge base creation options
3. Agent deployment & configuration
4. Using RAG agents as chatbots
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Generative AI For OCI Training Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 16 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 07 Oct 2026
  • Weekday Batch 12 Oct 2026
  • Weekend Batch 10 Oct 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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OCI Generative AI Certification

On completing this program, igmGuru issues a course completion certificate confirming your training in OCI Generative AI services, LLM implementation, prompt engineering, fine-tuning, application building, and agent deployment. You can add this to your resume and LinkedIn profile as proof of applied training.

Separately, Oracle runs its own official Oracle Cloud Infrastructure Generative AI Professional exam, which this course prepares you for. The exam is scenario-based, multiple choice, and covers the same four knowledge areas taught in this program - LLM fundamentals, the OCI Generative AI service, RAG-based application building, and Generative AI Agents. Oracle updates the exam version and code periodically, so check the current exam code and eligibility on Oracle University's official certification page before you register.

OCI Generative AI Certification

FAQ's

No. igmGuru's trainers start from LLM basics, so learners without an AI background can follow along. Basic Python and general cloud awareness help but are not mandatory.

It is live and instructor-led, delivered in small batches so trainers can address individual queries. You also get lifetime access to recorded sessions in case you miss a class or want to revisit a topic.

Yes. The labs run on Oracle Cloud Infrastructure itself, covering the OCI Console, APIs, SDKs, and the Generative AI service - not simulations.

igmGuru provides resume support, interview preparation, and job assistance once you complete the OCI Generative AI training course, alongside 24x7 support for any post-training queries.

igmGuru's certificate confirms you completed structured, hands-on training. Oracle's Generative AI Professional exam is a separate, official certification you can attempt after this course to formally validate your skills with Oracle.

Yes. Batches run on weekday, weekend, and fast-track schedules, and every session is recorded, so you can fit the training around your work hours.

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