Top 35+ In-Demand AI/ML, Data, Cloud & DevOps Certifications in 2025

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In this blog, we are going to cover 35+ high-value certifications in AI/ML, Data, DevOps and Multicloud, detailing their benefits, industry relevance, and how can you prepare for it. Further more we have some practical hands-on lab details available in this blog which will help you to understand what practical knowledge is required to get prepared for the certifications.

So Let quickly go through our main content

Index of Top Technology-Wise Certifications for 2025:

  1. AWS Infrastructure
  2. AWS AI/ML
  3. AWS Data
  4. Azure Infrastructure
  5. Azure Data
  6. Azure AI/ML
  7. GCP AI/ML
  8. Google Cloud Platform
  9. DevOps
  10. Kubernetes
  11. Oracle Cloud
  12. Terraform

Talking about all the certifications in various clouds and technologies we will be proceeding with them one by one.

1. AWS Infrastructure

In this section, we dive into AWS Infrastructure certifications, exploring essential credentials like Practitioner, Solution Architect, Developer, DevOps, and Security, designed to build expertise in managing scalable and secure cloud environments.

Aws Certifications

a) AWS Certified Cloud Practitioner

The AWS Certified Cloud Practitioner is an entry-level certification designed to provide foundational knowledge of Amazon Web Services (AWS) cloud concepts, architecture, pricing, and services. It is the first step for anyone looking to understand cloud technology and AWS services without requiring prior deep technical knowledge.

This certification is ideal for Beginners in Cloud Computing, Non-Technical Professionals, Students and Fresh Graduates, and Decision Makers

AWS Certified Cloud Practitioner Certification | AWS Certification | AWS

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b) AWS Certified Solutions Architect – Associate

The AWS Certified Solutions Architect – Associate certification is one of the most sought-after credentials for professionals who design, deploy, and manage cloud solutions using Amazon Web Services (AWS). This certification validates your ability to build secure, robust, and cost-optimized architectures that meet business requirements. It emphasizes designing highly available systems, choosing appropriate AWS services, and ensuring scalability and fault tolerance.

This certification is ideal for IT Professionals Transitioning to Cloud Roles, Cloud Architects, Developers with Architectural Responsibilities, Consultants, Individuals with AWS Experience

 

AWS Certified Solutions Architect - Associate badge

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c) AWS Certified Developer-Associate

The AWS Certified Developer-Associate (DVA-C02) certification is tailored for developers who want to validate their expertise in building, deploying, and maintaining applications on the AWS platform. This certification emphasizes core AWS services, application development best practices, and debugging strategies.

This certification is ideal for Software Developers, Application Architects, DevOps Engineers, IT Professionals Advancing in Cloud Development and Individuals with Hands-On AWS Development Experience

AWS Certified Developer - Associate badge

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d) AWS Certified DevOps Engineer – Professional

The AWS Certified DevOps Engineer – Professional certification is an advanced credential designed for IT professionals who implement and manage DevOps practices on the AWS platform. This certification validates expertise in automating infrastructure, implementing continuous integration and delivery (CI/CD), monitoring and logging systems, and ensuring high availability of applications. It emphasizes advanced skills in modern DevOps methodologies and AWS tools to manage scalable and reliable applications.

This certification is ideal for Experienced DevOps Engineers, Cloud Engineers and Architects, System Administrators, Developers Transitioning to DevOps and Professionals Advancing to Expert Roles

AWS Certified DevOps Engineer - Professional badge

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e) AWS Certified Security – Specialty

The AWS Certified Security – Specialty certification is an advanced credential for professionals specializing in securing complex workloads and ensuring robust protection for data and applications on AWS. This certification validates expertise in implementing security best practices, identifying vulnerabilities, and using AWS tools to safeguard cloud environments against evolving threats. It emphasizes areas like data encryption, secure access control, and threat detection, making it a vital certification for security-focused roles.

This certification is ideal for Security Engineers, Cloud Security Specialists, DevSecOps Professionals, Compliance and Risk Managers and Advanced AWS Practitioners

AWS Security

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2. AWS AI/ML

In this section, we delve into AWS AI/ML certifications, including AWS Certified Machine Learning – Specialty, AWS AI Practitioner, and AWS Data Analytics – Specialty, designed to equip professionals with the expertise to build, train, deploy, and manage AI and machine learning solutions on the AWS platform.

AWS AI/ML Certifications

a) AWS AI Practitioner

The AWS Certified AI Practitioner certification is an entry-level credential for professionals who want to build foundational knowledge of artificial intelligence (AI) and machine learning (ML) on AWS. This certification validates an understanding of core ML concepts, AWS AI services, and how to use them for business solutions without requiring deep technical expertise in data science or programming.

This certification is ideal for Beginners in AI and ML, Business Leaders and Decision Makers, IT Professionals Exploring AI/ML, Students and Fresh Graduates and Marketers and Analysts.

AI Practioner

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b) AWS ML Engineer Associate

The AWS Certified Machine Learning – Specialty certification (often referred to as AWS ML Engineer certification) is an advanced-level credential designed for professionals who build, train, deploy, and optimize machine learning models on AWS. It validates expertise in implementing ML workflows, using AWS AI/ML services, and optimizing performance for large-scale data science applications.

This certification is ideal for Machine Learning Engineers, Data Scientists, AI Engineers, Big Data Specialists and Developers with AI/ML Focus.

Machine Learning

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c) AWS Machine Learning Specialty

The AWS Certified Machine Learning – Specialty certification is an advanced-level credential that validates expertise in building, training, deploying, and optimizing machine learning (ML) models on AWS. It focuses on the end-to-end implementation of machine learning workflows, including data preparation, model development, and production deployment, leveraging AWS’s comprehensive suite of AI/ML tools.

This certification is ideal for Machine Learning Engineers, Data Scientists, AI/ML Developers, Big Data Engineers and IT Professionals Transitioning to AI/ML Roles

AWS Machine Learning Specialty (Specialty)

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3. AWS Data

The AWS Certified Data Analytics – Specialty certification (often called AWS Certified Data Engineer) validates expertise in designing, building, and managing secure, scalable, and cost-effective data analytics solutions on AWS. It focuses on data processing, storage, analysis, and visualization using AWS tools, making it essential for professionals handling large-scale data workflows.

This certification is ideal for Data Collection, Storage and Data Lakes, Data Processing, Data Analysis and Visualization, Data Security and Operational Excellence

AWS Certified Data Engineer - Associate Certification | AWS Certification

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4. Azure Infrastructure

In this section, we explore Azure Infrastructure certifications, covering key credentials like Azure Fundamentals, Administrator, Solution Architect, DevOps Engineer, Developer, and Security, designed to empower professionals with the skills to build, deploy, and manage secure and scalable cloud solutions on the Microsoft Azure platform.

Azure Certifications

a) Azure Fundamentals

The Azure Fundamentals (AZ-900) certification is an entry-level credential from Microsoft that provides foundational knowledge about Microsoft Azure and its core services. It introduces essential concepts such as cloud computing principles, Azure architecture, and basic features like pricing, support, and security. This certification is tailored for individuals new to Azure or cloud computing and does not require prior technical experience, making it an excellent starting point.

This certification is ideal for Beginners in Cloud Computing, Non-Technical Professionals, Students and Fresh Graduates, Decision Makers and Business Leaders, Professionals Exploring Cloud Certifications.

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b) Azure Administrator

The Azure Administrator (AZ-104) certification is designed for IT professionals who manage and monitor Microsoft Azure environments. This certification validates your expertise in implementing, managing, and monitoring an organization’s Azure infrastructure, including networking, security, compute, and storage resources.

This certification is ideal for system administrators, cloud administrators, IT professionals, DevOps engineers, and professionals advancing in the cloud ecosystem.

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c) Azure Developer

The Azure Developer (AZ-204) certification is a mid-level credential designed for developers who build, test, and maintain cloud applications and services on Microsoft Azure. This certification validates your ability to design and implement solutions, integrate Azure services, troubleshoot applications, and optimize performance for cloud-based applications. It emphasizes practical skills required for modern cloud development, using tools like Azure SDKs, APIs, and other development frameworks.

This certification is ideal for Application Developers, Software Engineers, DevOps Engineers, IT Professionals with Development Backgrounds and Individuals Advancing in Azure Development.

Azure Developer Associate

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d) Azure Security Engineer

The Azure Security Engineer (AZ-500) certification is designed for professionals specializing in implementing, managing, and monitoring security solutions within Microsoft Azure environments. It validates your ability to secure Azure-based applications, services, and data through advanced security controls, threat protection, and identity management. This certification demonstrates expertise in protecting cloud environments against evolving threats while ensuring compliance with regulatory standards.

This certification is ideal for Security Engineers, Cloud Engineers with a Security Focus, Compliance and Risk Professionals, DevSecOps Engineers and IT Professionals Pursuing Advanced Security Roles.

Azure Security Engineer Associate

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e) Azure Solution Architect

The Azure Solutions Architect (AZ-305) certification is an advanced-level credential for professionals tasked with designing end-to-end cloud solutions on Microsoft Azure. It validates your expertise in creating secure, scalable, and highly available cloud architectures that align with business and technical requirements. This certification focuses on advanced solution design, including governance, security, data storage, compute resources, networking, and integration.

This certification is ideal for Cloud Architects, Technical Leads, IT Consultants, DevOps Engineers and IT Professionals Advancing to Expert-Level Roles

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f)  Azure DevOps Engineer

The Azure DevOps Engineer (AZ-400) certification is designed for professionals who combine development and operations to deliver high-quality applications and services faster through automation and streamlined workflows on Microsoft Azure. This certification validates expertise in implementing DevOps practices, including source control, continuous integration and delivery (CI/CD), infrastructure as code, and monitoring.

This certification is ideal for DevOps Engineers, Cloud Engineers, Software Developers, IT Operations Professionals and Candidates with Azure Administrator or Developer Certification.

Azure DevOps Engineer Expert

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5. Azure Data

In this section, we delve into Azure Data certifications, including Azure Data Fundamentals (DP-900), Azure Data Engineer Associate (DP-203), Azure Database Administrator Associate (DP-300), Microsoft Power BI Data Analyst (PL-300), Azure Data Scientist (DP-100) designed to equip professionals with the expertise to manage, analyze, and secure data solutions on the Microsoft Azure platform.

a) Azure Data Fundamentals (DP-900)

The Azure Data Fundamentals (DP-900) certification is an entry-level credential designed to provide foundational knowledge about core data concepts and how they are implemented using Microsoft Azure services. It covers relational and non-relational data, modern data warehousing, data processing, and analytics solutions. This certification is ideal for anyone beginning their journey in data and cloud technologies.

This certification is ideal for Beginners in Data and Cloud Technologies, Non-Technical Professionals, IT Professionals Exploring Data Roles, Students and Fresh Graduates and Decision Makers.

 

Microsoft Certified: Azure Data Fundamentals - Credly

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b) Azure Data Engineer Associate (DP-203)

The Azure Data Engineer Associate (DP-203) certification is designed for professionals who manage and optimize data solutions in Microsoft Azure. It validates expertise in designing and implementing data storage, data processing, and data security solutions using Azure services. This certification emphasizes creating scalable and reliable data pipelines and managing modern data warehouses.

This certification is ideal for Data Engineers, ETL Developers, Big Data Specialists, Analytics Professionals and IT Professionals Transitioning to Cloud Data Roles.

DP-203 Azure Data Engineering exam is now GA - Kevin Chant

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c) Azure Database Administrator Associate (DP-300)

The Azure Database Administrator Associate (DP-300) certification is designed for professionals who manage, monitor, and optimize relational database solutions on Microsoft Azure. It validates expertise in implementing security, availability, and performance optimization for Azure-based databases, as well as configuring and managing Azure SQL databases and hybrid data environments.

This certification is ideal for Database Administrators, Data Engineers, Cloud Database Administrators, IT Professionals Transitioning to Cloud Roles and Developers with Database Responsibilities.

Microsoft Certified: Azure Database Administrator Associate - Credly

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d) Azure Data Scientist (DP-100)

The Azure Data Scientist Associate (DP-100) certification is designed for professionals who apply data science techniques to train, evaluate, and deploy machine learning models on Microsoft Azure. It validates expertise in using Azure Machine Learning to create and manage scalable AI solutions, while integrating data preparation, feature engineering, and model optimization processes.

This certification is ideal for Data Scientists, AI/ML Engineers, Data Analysts, Developers in AI/ML and IT Professionals Advancing in AI

Microsoft Azure Data Scientist [DP-100] Self Study Exam Guide

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6. Azure AI/ML

In this section, we explore Azure AI/ML certifications, including Azure AI Fundamentals (AI-900) and Azure AI Engineer Associate (AI-102), designed to equip professionals with the skills to design, build, train, and deploy AI and machine learning solutions on the Microsoft Azure platform.

Azure AI/ML Certificationsa) Azure AI Fundamentals (AI-900)

The Azure AI Fundamentals (AI-900) certification is an entry-level credential that validates foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts and how they are implemented using Microsoft Azure AI services. It introduces key principles of AI and highlights Azure’s role in enabling AI-powered solutions, making it an excellent starting point for those new to the field.

This certification is ideal for Beginners in AI and ML, Business Leaders and Decision Makers, IT Professionals Exploring AI/ML Roles, Students and Fresh Graduates and Marketers and Analysts.

Microsoft Certified: Azure AI Fundamentals - Credly

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b) Azure AI Engineer Associate (AI-102)

The Azure AI Engineer Associate (AI-102) certification validates your expertise in designing and implementing AI solutions that integrate Azure Cognitive Services, Azure Machine Learning, and Microsoft Bot Framework. This certification is focused on building intelligent, scalable AI applications using Azure’s advanced AI tools and services, making it ideal for professionals working on AI-powered systems.

This certification is ideal for AI Engineers, Developers with AI/ML, Data Scientists, Cloud Engineers and IT Professionals Advancing in AI.

AI-102 Azure AI Engineer Course & Certification Training

 

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c) Azure Data Scientist (DP-100)

The Azure Data Scientist Associate (DP-100) certification is designed for professionals who apply data science techniques to train, evaluate, and deploy machine learning models on Microsoft Azure. It validates expertise in using Azure Machine Learning to create and manage scalable AI solutions, while integrating data preparation, feature engineering, and model optimization processes.

This certification is ideal for Data Scientists, AI/ML Engineers, Data Analysts, Developers in AI/ML and IT Professionals Advancing in AI

Microsoft Azure Data Scientist [DP-100] Self Study Exam Guide

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7. GCP AI/ML

In this section, we explore Google Cloud Platform (GCP) AI/ML certifications, designed to equip professionals with the skills to design, build, and deploy scalable machine learning models, leverage AI solutions, and manage data pipelines using Google Cloud’s advanced AI and machine learning services.

a) GCP Machine Learning Engineer

The GCP Professional Machine Learning Engineer certification is an advanced-level credential that validates expertise in designing, building, and deploying machine learning (ML) models and AI solutions on Google Cloud Platform (GCP). It focuses on managing the end-to-end ML lifecycle, including data preparation, model development, deployment, and performance optimization, while ensuring security and compliance.

This certification is ideal for Machine Learning Engineers, Data Scientists, AI Developers, Big Data Professionals and IT Professionals Transitioning to AI/ML Roles.

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8. Google Cloud Platform

In this section, we explore Google Cloud Platform (GCP) certifications, including the GCP Associate Cloud Engineer and Google Professional Cloud Architect certifications. These credentials are designed to equip professionals with the expertise to build, deploy, and manage scalable cloud solutions, optimize infrastructure performance, and design secure, high-performing architectures on the Google Cloud Platform.

Get a list of all the certification and path, Click Here

GCP Certificationsa) Google Cloud Engineer Associate

The GCP Associate Cloud Engineer certification validates foundational skills in deploying, managing, and monitoring applications and infrastructure using Google Cloud tools and services. This certification focuses on core tasks such as setting up cloud environments, managing access, configuring networks, and ensuring resource monitoring and performance.

This certification is ideal for Entry-Level Cloud Engineers, System Administrators Exploring Cloud Roles, IT Professionals Transitioning to Google Cloud and Developers Starting in Cloud Computing.

Google Cloud Engineer

 

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b) Google Cloud Architect Professional

The Google Professional Cloud Architect certification is an advanced-level credential designed for professionals who design and manage cloud solutions on GCP. This certification emphasizes expertise in architecting secure, scalable, and highly available cloud systems tailored to business objectives, leveraging advanced GCP services like BigQuery, Compute Engine, and Kubernetes.

This certification is ideal for Cloud Architects, Solution Designers, Technical Leads, IT Professionals Advancing to Expert Cloud Roles and Consultants Specializing in GCP Solutions

Google Cloud Architect

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9. DevOps

The DevOps Foundation Certification is an entry-level credential designed to provide a comprehensive understanding of DevOps principles, practices, and cultural philosophies. This certification introduces key concepts such as collaboration, automation, continuous integration, and continuous delivery, enabling individuals to understand the basics of DevOps and its business value.

This certification is ideal for IT Professionals New to DevOps, Project Managers and Stakeholders, Developers and Operations Teams and Business Leaders and Consultants.

DevOps Foundation Badge

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10. Kubernetes

In this section, we delve into Kubernetes certifications, such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), and CKS (Certified Kubernetes Security Specialist), which are designed to equip professionals with the skills to deploy, manage, and secure containerized applications at scale using Kubernetes.

Kubernetes certifications

a) Certified Kubernetes Administrator (CKA)

The Certified Kubernetes Administrator (CKA) certification is a globally recognized credential that validates your expertise in managing, deploying, and troubleshooting Kubernetes clusters. Administered by the Cloud Native Computing Foundation (CNCF), it focuses on hands-on skills required to operate production-grade Kubernetes environments effectively.

This certification is ideal for System Administrators, DevOps Engineers, Cloud Engineers, Developers Transitioning to Kubernetes Administration and IT Professionals Advancing in Container Orchestration

CKA certification

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b) Certified Kubernetes Application Developer (CKAD)

The Certified Kubernetes Application Developer (CKAD) certification, validates your skills in designing, building, and deploying cloud-native applications using Kubernetes. It focuses on application development within a Kubernetes environment, including best practices for scaling, networking, and managing workloads.

This certification is ideal for Application Developers, DevOps Engineers, Software Engineers, Cloud Engineers and IT Professionals Transitioning to Kubernetes Development/

CKAD logo

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c) Certified Kubernetes Security Specialist (CKS)

The Certified Kubernetes Security Specialist (CKS) certification, is an advanced-level credential that validates your expertise in securing Kubernetes clusters and containerized applications. It focuses on implementing security best practices across the entire lifecycle of Kubernetes-based workloads, including cluster setup, application development, and runtime protection.

This certification is ideal for Security Engineers, DevSecOps Engineers, Kubernetes Administrators, Cloud Engineers and IT Professionals Advancing in Kubernetes Security

CKS Logo

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11. Oracle Cloud

In this section, we explore Oracle certifications, including Oracle Cloud Infrastructure (OCI) certifications like OCI Foundations, Architect Associate, and Architect Professional, as well as Oracle Integration Cloud (OIC) certifications, designed to equip professionals with the expertise to design, manage, and deploy secure and scalable cloud and integration solutions on Oracle’s platform.

Oracle Certifications

a) Oracle Cloud Infrastructure Foundations Associate (1z0-1085)

The Oracle Cloud Infrastructure (OCI) Foundations Associate Certification (1Z0-1085) is a beginner-level credential that validates foundational knowledge of Oracle Cloud Infrastructure (OCI) services, concepts, and best practices. This certification covers core topics such as OCI architecture, global infrastructure, cost management, security principles, and key OCI services, making it an excellent starting point for professionals exploring Oracle Cloud solutions.

This certification is ideal for Beginners in Cloud Computing, Students and Fresh Graduates, Non-Technical Professionals Exploring Cloud Concepts, Business Leaders and Decision Makers and IT Professionals Looking to Expand Cloud Knowledge

1Z0-1085

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b) Oracle Cloud Infrastructure Architect Associate (1Z0-1072)

The Oracle Cloud Infrastructure (OCI) Architect Associate Certification (1Z0-1072) is an intermediate-level credential designed for professionals who architect and implement secure, high-performance cloud solutions on Oracle Cloud Infrastructure (OCI). This certification validates expertise in OCI services, including compute, storage, networking, database, and security, along with practical skills in designing scalable and resilient cloud architectures.

This certification is ideal for Cloud Architects, Solution Architects, Technical Leads and IT Consultants, Developers Transitioning to Cloud Roles and IT Professionals Advancing in Oracle Cloud Expertise

1z0-1072

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c) Oracle Cloud Infrastructure Architect Professional (1Z0-997)

The Oracle Cloud Infrastructure (OCI) Architect Professional Certification (1Z0-997) is an advanced-level credential designed for experienced professionals who design and implement complex, enterprise-grade cloud solutions on Oracle Cloud Infrastructure (OCI). This certification validates expertise in advanced OCI concepts, including high availability, disaster recovery, hybrid cloud architecture, automation, and cost management, enabling professionals to create secure, scalable, and optimized solutions for diverse business needs.

This certification is ideal for Senior Cloud Architects, Technical Leads and IT Strategists, Consultants Specializing in Oracle Cloud, IT Professionals Advancing to Expert Roles in OCI and Enterprise Solution Designers

1z0-997

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d) Oracle Cloud Database Migration and Integration Specialist (1Z0-1094)

The Oracle Cloud Database Migration and Integration Specialist Certification (1Z0-1094) is a specialized credential designed for professionals who manage and implement database migration and integration strategies using Oracle Cloud Infrastructure (OCI). This certification validates expertise in planning, executing, and automating database migrations, as well as integrating cloud and on-premises systems using OCI tools and services like GoldenGate, Data Transfer Service, and Data Integration.

This certification is ideal for Database Administrators (DBAs), Cloud Migration Specialists, Data Integration Engineers, IT Professionals Managing Multi-Cloud or Hybrid Environments and Consultants Specializing in Oracle Cloud Database Solutions

1z0-1094

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e) Oracle Cloud Database Services Professional (1Z0-1093)

The Oracle Cloud Database Services Professional Certification (1Z0-1093) is a specialized credential tailored for professionals who design, deploy, and manage Oracle database services on Oracle Cloud Infrastructure (OCI). This certification validates expertise in configuring, optimizing, and securing Oracle Autonomous Database, Oracle Database Cloud Service, and Oracle Exadata Cloud Service. It also emphasizes database backup, recovery, performance tuning, and high availability in cloud environments.

This certification is ideal for Database Administrators (DBAs), Cloud Database Engineers, IT Professionals Transitioning to Cloud Roles, Solution Architects Specializing in Oracle Databases and Consultants Focused on Oracle Database Services

1z0-1093

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f) Oracle Cloud Platform Application Integration Professional (1Z0-1042)

The Oracle Cloud Platform Application Integration Professional Certification (1Z0-1042) is a specialized credential designed for professionals who configure, deploy, and manage application integration solutions on Oracle Cloud Infrastructure (OCI). This certification validates expertise in Oracle Integration Cloud (OIC) services, APIs, process automation, and application connectivity, enabling seamless communication between on-premises and cloud-based applications.

This certification is ideal for Integration Architects, Cloud Application Developers, Middleware Specialists, IT Professionals Managing Multi-Cloud Applications and Consultants Specializing in Oracle Integration Solutions.

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12. Terraform

In this section, we explore the Terraform Associate certification, designed to equip professionals with the foundational skills required to understand Infrastructure as Code (IaC) principles, automate infrastructure provisioning, and manage scalable cloud resources effectively using HashiCorp Terraform

a) Terraform Associate

The Terraform Associate certification, offered by HashiCorp, is a foundational-level credential that validates expertise in infrastructure provisioning, managing cloud resources, and implementing Infrastructure as Code (IaC) using Terraform. This certification demonstrates your ability to write, plan, and apply Terraform configurations to automate infrastructure across multiple cloud and on-premises environments.

This certification is ideal for Cloud Engineers, DevOps Engineers, System Administrators, Developers with Cloud Focus and IT Professionals Exploring IaC

003 Badge

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FAQ’s

What is the scope of DevOps in 2025?

The shift to cloud-native ecosystems, driven by platforms like Kubernetes, Docker, and serverless architectures, will make DevOps indispensable. By 2025, the majority of enterprises will rely on container orchestration and multi-cloud strategies, requiring robust DevOps practices for seamless deployment, scaling, and monitoring.
Key Impact:

  • Accelerated adoption of tools like Kubernetes, Terraform, and Helm.
  • Greater demand for DevOps engineers skilled in CI/CD pipelines for cloud environments.

Is a certificate in AI worth it?

Yes, a certificate in AI/ML is worth it if you're looking to enter or advance in fields like data science, machine learning, or AI development. It validates your skills, enhances your employability, and demonstrates expertise in a high-demand domain. However, its value depends on the program's credibility, practical exposure, and alignment with your career goals.

Does AI ML have scope in future?

Yes, AI/ML has immense future scope, driving innovations in industries like healthcare, finance, automation, and more. With advancements in technology, the demand for AI/ML professionals is rapidly growing, ensuring lucrative career opportunities and transformative impacts across sectors.

Will AI replace jobs in 2025?

AI will automate many repetitive tasks by 2025, potentially replacing some jobs. However, it will also create new roles in AI development, maintenance, and related fields, emphasizing the need for reskilling and adaptation in the workforce.

 

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mike

I started my IT career in 2000 as an Oracle DBA/Apps DBA. The first few years were tough (<$100/month), with very little growth. In 2004, I moved to the UK. After working really hard, I landed a job that paid me £2700 per month. In February 2005, I saw a job that was £450 per day, which was nearly 4 times of my then salary.