Online self-learning courses offer autonomy, allowing individuals to learn at their own pace. They provide structured training materials with review exercises to enhance understanding. Utilizing multimedia resources like videos and presentations, learners actively engage with the content. while flexibility enables customization of study schedules. This fosters an environment conducive to effective learning and skill development, accommodating personal commitments.
Your database contains millions of records. But can it come up with the correct answers if the person asking the question doesn't use any specific keywords? The Oracle AI Database 26ai presents a completely new way to work with enterprise data by bringing together the abilities of databases and AI applications.
One of the main techniques behind this revolution is called AI Vector Search. Unlike the classic search that only relies on keyword searches, it uses vector embeddings to locate the information that is similar in its meaning. The training course Oracle AI Database 26ai Online Training covers the concept of vector data types, similarity search, distance functions, vector indexing and hybrid SQL queries.
The curriculum includes Retrieval-Augmented Generation (RAG) when AI applications retrieve information about business from databases and generate appropriate answers. Document processing, embeddings generation, SQL extensions and database integration play a significant role in this process.
The above features help organizations to achieve intelligent document searches, enterprise knowledge assistants or AI applications that are integrated with an existing database. As an illustration, an organization can search for many technical documents from a large repository of information by retrieving only relevant information without having to go through all the documents manually.
Why do we need to learn about such technology? The technology enables database professionals to pursue AI-based projects even using their existing skills in SQL and databases.
GoLogica provides a practical perspective on the above technologies. Learners are provided guidance in technical sessions, database sessions, and SQL sessions so as to understand how vector search, RAG, and database integration operate together. Practical implementation of technical knowledge for enterprise data-related issues is emphasized in the course.
The Oracle AI Database 26ai training is suitable for Oracle DBAs, SQL Developers, Data Engineers, Application Developers, and IT professionals who wish to acquire new knowledge. Basic knowledge of SQL and relational databases is recommended.
If you are interested in Oracle AI Database 26ai Certification Training, then the course contents form a good starting point for your preparation.
With AI becoming increasingly integrated into the workings of enterprise databases, these skills could be utilized in developing career options in database engineering and AI integration.
Do not confine your Oracle skills only to regular database work. Prepare yourself for AI-powered career options with GoLogica. Visit us today, and we will provide you with your training information.
Salary Trends:
According to PayScale salary benchmarks, Oracle Database professionals can earn approximately 7 to 15+ LPA in India and $75,000 to $123,000 annually in the USA, depending on experience, database expertise, AI integration skills, and job responsibilities.
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Oracle AI Database 26ai Curriculum
Introduction to Oracle AI Database 26ai
New features and architecture
Database installation and configuration
Oracle Database fundamentals
SQL fundamentals
Tables, views and indexes
Joins and subqueries
Functions and analytical queries
Advanced SQL queries
PL/SQL fundamentals
Variables and conditions
Loops and cursors
Procedures and functions
Packages, triggers and exceptions
Database architecture
User and security management
Tablespaces and storage
Backup and recovery
Database monitoring and performance tuning
Introduction to AI Vector Search
Vector data types and embeddings
Vector indexes
Similarity search
Semantic search using SQL
Hands-on AI search implementation
Introduction to Generative AI and LLMs
Oracle Select AI fundamentals
Natural Language to SQL
Connecting AI models with Oracle Database
AI-powered data analysis
Building AI applications using database data
Introduction to RAG
Document loading and processing
Generating and storing embeddings
Vector-based document search
Connecting LLMs with Oracle Database
Building a simple RAG application
Introduction to AI Agents
AI Agent architecture
Connecting AI Agents with Oracle Database
Tool calling and database interaction
Building intelligent database assistants
Oracle Cloud Infrastructure fundamentals
Autonomous AI Database setup
Database connectivity and management
Data loading and migration
Cloud database security and monitoring
JSON data management
JSON Relational Duality
SQL Property Graphs
Oracle APEX fundamentals
Building AI-powered database applications
The GoLogica certification is widely acknowledged, enhancing the credibility of your resume and opening doors to high-level positions in leading multinational corporations globally.
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Oracle AI Database 26ai technology.
You will get certified in Oracle AI Database 26ai by clearing the online examination with a minimum score of 70%.
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Oracle AI Database 26ai Objectives
This course covers AI Vector Search, RAG, vector embeddings, SQL enhancements and database optimization. It focuses on practical AI database applications.
It combines relational data management with AI capabilities, including vector similarity search. This allows applications to find information beyond exact keyword matches.
Oracle DBAs, SQL developers, data engineers and application developers can benefit. It's particularly useful for professionals moving toward AI-related database projects.
Yes, but basic SQL knowledge is recommended. Understanding relational databases will make advanced topics easier to follow.
Businesses increasingly need applications that work with structured and unstructured information. AI database skills help professionals support these requirements.
Vector Search and SQL
AI Vector Search finds information based on similarity rather than exact words. It's useful for semantic search, recommendations and intelligent applications.
Embeddings convert information into numerical representations. They help systems identify similarities between documents, images and other types of content.
It compares numerical vectors to identify related information. Results are ranked according to how closely the vectors match.
A vector index speeds up similarity searches across large datasets. It helps applications retrieve relevant information more efficiently.
Yes, because Oracle SQL has support for vectors and similarity search and can be used to implement a combination of AI search with database entries.
11. Explain hybrid search.
It is the combination of keyword-based and semantic searches which allows applications to look up information using keywords and semantics at the same time.
Because they measure similarity of vectors, allowing ranking of search results and finding the closest match to the query.
RAG and AI Applications
13. Explain RAG (Retrieval-Augmented Generation).
This technology uses lookup of relevant information before an AI model provides its answer and allows answering questions based on business documents and data.
14. Explain how RAG works with enterprise data.
Relevant data or document is looked up and fed to the language model, which provides a response based on this data.
Yes, developers can use supported integrations and API to connect the database with the language model and build an AI-based application.
Documents usually need to be cleaned, split and turned into embeddings to make the process of searching the information easier.
Semantic search is based on the meaning of a search query rather than on specific words.
Yes, chatbots can use vector search to retrieve the required information and pass it to language models to get answers.
Performance, Security and Practical Skills
Optimal indexes, queries optimization and database tuning can increase the performance of the search. The best strategy depends on data and business needs.
Enterprise data protection can be achieved with database permissions and access control. It is necessary to manage AI applications' access to sensitive records.
Some examples are document searching, semantic retrieval, and RAG assistants. Make sure that you get the exact list of exercises that come with your GoLogica batch.
Python helps with embedding generation, APIs and application integration of AI. However, SQL is still necessary for doing queries and vector calculations.
I will learn about vector searching, embeddings, SQL queries, RAG ideas and how AI databases perform.
Certification & Career Possibilities
Oracle offers database and AI learning certificates. Find out more about the latest certificates and exams at Oracle University.
The subjects can be used for studying towards certificates. Compare the subject list with the Oracle exam objectives first.
Some of the positions could be Oracle DBA, Database Developer, Data Engineer and AI Database Specialist. Career prospects will depend on your technical skills and experience.
Yes. Professionals with experience can leverage that experience in terms of vector indexing, AI tasks and intelligent databases.
GoLogica Training and Registration
The duration of the course depends on the training program that you select. You can contact GoLogica for more details.
The fees vary depending upon the training program package that is available. Please get the latest price list along with batch details.
You can contact GoLogica for the upcoming batches for the course and registration process.
Why GoLogica?
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Visit GoLogica website, locate the 'Certificates' section, follow the instructions to verify your course completion by completing the exam and Get more than 70% marks. And download your certificate.
I'll guide you through the certification process step-by-step, ensuring you're well-prepared and confident in your subject matter by clearing an exam.
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Our mock interviews process involves practice sessions, feedback, and role-playing to enhance candidates' communication skills and confidence in a concise, single-line summary:
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GoLogica certification holds value for those seeking to learn and validate their skills in Logic Apps all over the world.
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Our trainers are highly experienced in respective Field and implementing real-time solutions on different Scenarios and Expert in their professionals.
We record each LIVE class session you undergo through this training and recordings of each session class will be updated in your Cloud.
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GoLogica have a 10+ year’s good track record in the training market. However, it was founded in 2013.
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Self-paced training allows learners to study at their own speed, while Live Online training offers real-time, interactive sessions with an instructor.
Self-paced learning offers flexibility, personalized progress, and the ability to review materials at your own convenience.
Live online training offers real-time interaction, immediate feedback, and networking opportunities, which self-paced learning lacks.
Yes, GoLogica allows you to transition from self-paced to instructor-led training as per your preference T&C apply.
Yes, customize GoLogica curriculum as per your needs. Our Goal is to satisfy and give an enough knowledge to students.
Timetable flexibility depends on the institution and availability; inquire for options.
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Consult your training contract for withdrawal terms, prioritizing mutual understanding.
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Practice consistently, apply learned skills in real-life scenarios, and seek feedback for improvement.
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Self-paced videos can be classified into beginner, intermediate, advanced, and expert levels.
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Yes, customizable live training allows for scheduling flexibility and tailored curriculum.
Yes, we conduct assessments and also some mock test for better understanding along with discussion call.
Yes, we offer a certification and it is highly valuable in market
Yes, you can but just Inquire about extension options post-training.
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Our trainers are highly experienced in on specific subject matter to teach and uses by real-time solutions on different Scenarios and Expert in their professionals.
You can access the recording of the missed class through our LMS. We record each training session and upload it after the session to our LMS which can be accessible to the students.
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Oracle AI Database 26ai rated
(5.0 / 5) based on 3 reviews.
Manoj N
The course was informative and beginner-friendly. I enjoyed exploring Oracle AI Database features and learning how AI connects with database technologies.
Vinay V
Select AI and Vector Search were explained in a simple way. The demonstrations helped me understand these concepts without feeling overwhelmed.
Mahesh U
The semantic search practice was really interesting. I could see how Oracle AI Database finds relevant information based on meaning rather than exact words.
