OCI AI Foundations Associate Training

103 Lessons

40 hours

Build a foundation in artificial intelligence and machine learning with kodestree’s OCI AI Foundations Associate Training. The course covers AI and ML concepts, Generative AI, large language models, deep learning, neural networks, and key OCI AI services to help learners prepare for the Oracle Cloud Infrastructure AI Foundations Associate certification. Oracle currently lists the certification exam as 1Z0-1122-26.

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About Course

OCI AI Foundations Associate Training at kodestree introduces the core concepts of artificial intelligence, machine learning, and Generative AI in the context of Oracle Cloud Infrastructure. Learners explore common AI terminology, machine learning concepts, deep learning, neural networks, Generative AI, large language models, and OCI AI capabilities. The course is designed to build foundational knowledge and support preparation for the Oracle Cloud Infrastructure AI Foundations Associate certification. Oracle describes its AI Foundations training as covering common AI and ML terminology and the basics of Generative AI, including LLMs, GANs, and Transformers.

Prerequisites

Basic understanding of cloud computing concepts
Basic understanding of Artificial Intelligence and Machine Learning
Familiarity with common technology and business terminology
Basic knowledge of data and analytics concepts
No prior AI development experience required
No advanced programming experience required

What Will You Learn

Understand core Artificial Intelligence concepts and terminology
Explain Machine Learning fundamentals and common learning approaches
Understand Deep Learning and neural network concepts
Explore Generative AI and Large Language Models
Understand Transformers, embeddings, tokens, and prompting
Explore OCI AI and Machine Learning services
Understand OCI Generative AI capabilities and foundation models
Explore OCI AI Services for language, vision, speech, and document processing
Understand Oracle AI Vector Search and RAG concepts
Explore AI use cases on Oracle Cloud Infrastructure
Understand responsible AI principles and considerations
Prepare for the Oracle Cloud Infrastructure AI Foundations Associate certification exam

Who Should Do This Training

AI and Machine Learning Beginners
Cloud Computing Professionals
OCI Beginners
Cloud Developers
Data Analysts
Data Scientists
Software Developers
Business Analysts
IT Professionals
Technical Managers
Professionals Moving into AI and Generative AI
Candidates preparing for the OCI AI Foundations Associate certification

Course Curriculum

Course Content

Lesson 1 – Introduction to AI Foundations

AI basics and terminology
Artificial Intelligence applications and use cases
Types of data used in AI
Structured and unstructured data
Relationship between AI, Machine Learning, and Deep Learning
Narrow AI and broader AI concepts
Common AI tasks and applications

Lesson 2 – Machine Learning Foundations

Machine Learning (ML) fundamentals
Supervised learning
Regression
Classification
Model evaluation concepts
Accuracy, precision, recall, and F1 score
RMSE and R-squared
Overfitting and underfitting
Bias and variance
Unsupervised learning
Clustering
Dimensionality reduction
Reinforcement learning
Feature engineering

Lesson 3 – Deep Learning Foundations

Deep Learning fundamentals
Artificial neural networks
Neural network components and layers
Activation functions
Gradient descent and backpropagation
Convolutional Neural Networks (CNNs)
Image-related deep learning applications
Recurrent Neural Networks (RNNs)
Long Short-Term Memory (LSTM) networks
Sequence-based AI applications

Lesson 4 – Generative AI and Large Language Models

Generative AI fundamentals
Generative AI versus traditional AI approaches
Large Language Model (LLM) fundamentals
Tokens and tokenization
Embeddings
Context windows
Transformer architecture
Attention and self-attention
Prompt engineering
Zero-shot prompting
Few-shot prompting
Chain-of-thought concepts
Instruction tuning
LLM fine-tuning
Parameter-efficient fine-tuning concepts
Responsible AI considerations

Lesson 5 – OCI AI Portfolio

OCI AI Services overview
OCI Machine Learning services
OCI Data Science
Model Catalog
Notebook Sessions
Machine Learning Jobs
AI Quick Actions
OCI AI Infrastructure
GPU-based AI infrastructure
AI infrastructure use cases
Responsible AI principles
Fairness
Transparency
Accountability
Explainability

Lesson 6 – OCI Generative AI and Oracle Database 23ai

OCI Generative AI service
Generative AI foundation models
Chat and text generation use cases
Embedding models
Reranking concepts
OCI Generative AI playground
Fine-tuning concepts
Dedicated AI clusters
OCI Generative AI Agents
Autonomous Database Select AI
Oracle Database 23ai AI capabilities
Oracle AI Vector Search
Vector embeddings and semantic search
Retrieval-Augmented Generation concepts

Lesson 7 – OCI AI Services

OCI AI Services overview
OCI Language
Text analysis and language processing
Sentiment analysis
Entity recognition
Key phrase extraction
Language detection
OCI Vision
Image classification
Object detection
Image analysis
OCI Document Understanding
Optical Character Recognition (OCR)
Document processing
OCI Speech
Speech-to-text capabilities
AI service APIs and use cases

Lesson 8 – Certification Exam Preparation

Review of AI foundations
Machine Learning (ML) concepts revision
Deep Learning concepts revision
Generative AI and LLM review
OCI AI Portfolio revision
OCI Generative AI and Oracle 23ai review
OCI AI Services revision
Scenario-based practice
Practice questions
Mock assessment

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Self Paced Learning

₹47,940.00

✓ Refund Policy

Duration: 40 hrs
103 Lessons & Practical Labs
Lifetime Full Access & Free Upgrades
Downloadable Study Materials & Code Labs
Recognized Certification of Completion
24x7 Online Support & Learner Forum

Placement Partners

Want to know Today's Offer

OCI AI Foundations Associate Training Certification Exam

Upon completing the OCI AI Foundations Associate Training, you will receive a globally recognized certification that validates your expertise in data science, machine learning, and AI model development. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The AI & Data Science certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Frequently Asked Questions

The OCI AI Foundations Associate Training is designed to provide comprehensive, in-depth training in OCI AI Foundations Associate. OCI AI Foundations Associate Training at kodestree introduces the core concepts of artificial intelligence, machine learning, and Generative AI in the context of Oracle Cloud Infrastructure. Learners explore common AI terminology, machine learning concepts, deep learning, neural networks, Generative AI, large language models, and OCI AI capabilities. The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in OCI AI Foundations Associate and qualify for relevant industry roles. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using OCI AI Foundations Associate tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successfully finishing the course and assignments, you will receive a Certificate of Completion from Kodestree. In addition, our mentors will provide targeted guidance and practice tests to help you clear globally recognized OCI AI Foundations Associate certification exams, accompanied by dedicated placement support including resume review and interview preparation.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

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The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

Ankit Sharma

SOC Analyst

Cyber Security Course

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After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

Priya Menon

Scrum Master

Certified ScrumMaster (CSM)

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Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

Rahul Verma

Project Manager

Certified ScrumMaster (CSM)

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Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

Sneha Kapoor

Cloud Security Engineer

Cyber Security Course

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This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

Vikram Singh

Agile Coach

Certified ScrumMaster (CSM)

OCI AI Foundations Associate Training

About Course

Prerequisites

What Will You Learn

Who Should Do This Training

Course Curriculum

Course Content

Lesson 1 – Introduction to AI Foundations

AI basics and terminology

Artificial Intelligence applications and use cases

Types of data used in AI

Structured and unstructured data

Relationship between AI, Machine Learning, and Deep Learning

Narrow AI and broader AI concepts

Common AI tasks and applications

Lesson 2 – Machine Learning Foundations

Machine Learning (ML) fundamentals

Supervised learning

Regression

Classification

Model evaluation concepts

Accuracy, precision, recall, and F1 score

RMSE and R-squared

Overfitting and underfitting

Bias and variance

Unsupervised learning

Clustering

Dimensionality reduction

Reinforcement learning

Feature engineering

Lesson 3 – Deep Learning Foundations

Deep Learning fundamentals

Artificial neural networks

Neural network components and layers

Activation functions

Gradient descent and backpropagation

Convolutional Neural Networks (CNNs)

Image-related deep learning applications

Recurrent Neural Networks (RNNs)

Long Short-Term Memory (LSTM) networks

Sequence-based AI applications

Lesson 4 – Generative AI and Large Language Models

Generative AI fundamentals

Generative AI versus traditional AI approaches

Large Language Model (LLM) fundamentals

Tokens and tokenization

Embeddings

Context windows

Transformer architecture

Attention and self-attention

Prompt engineering

Zero-shot prompting

Few-shot prompting

Chain-of-thought concepts

Instruction tuning

LLM fine-tuning

Parameter-efficient fine-tuning concepts

Responsible AI considerations

Lesson 5 – OCI AI Portfolio

OCI AI Services overview

OCI Machine Learning services

OCI Data Science

Model Catalog

Notebook Sessions

Machine Learning Jobs

AI Quick Actions

OCI AI Infrastructure

GPU-based AI infrastructure

AI infrastructure use cases

Responsible AI principles

Fairness

Transparency

Accountability

Explainability

Lesson 6 – OCI Generative AI and Oracle Database 23ai

OCI Generative AI service

Generative AI foundation models

Chat and text generation use cases

Embedding models

Reranking concepts