Cursos de Edureka

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Serverless Data Pipelines

Build practical skills to design, deploy, and operate cloud-native data pipelines using serverless services and event-driven architectures. In this course, you will learn how modern organizations process data without managing servers, using scalable services such as AWS Lambda, Amazon S3, Amazon SQS, Amazon CloudWatch, AWS Step Functions, and Amazon DynamoDB. You will begin by exploring the foundations of serverless…
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AWS Core Services

Welcome to the AWS Core Services course! This course introduces essential cloud computing concepts and core AWS services. Gain the knowledge needed to deploy and manage applications on AWS confidently, understand the underlying infrastructure, and apply industry best practices. By the end of this course, you will be able to: - Discuss key AWS services and their roles in cloud architecture. - Explain the significance…
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Streaming Data Pipelines with Kafka and Spark

Build practical expertise in real-time data engineering using Apache Kafka, Apache Spark, Spark Structured Streaming, PySpark, Python, Docker, and Docker Compose. You will learn how data engineers design, process, monitor, and maintain streaming pipelines that continuously move event data from source systems to reliable downstream outputs. You will begin by exploring event streaming fundamentals and the architecture…
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Business Intelligence with Databricks

Welcome to the Business Intelligence with Databricks course. This short course provides an essential introduction to business intelligence (BI) and explores the capabilities of the Databricks platform. In today's data-driven landscape, understanding BI and leveraging powerful tools like Databricks is critical for optimizing business decisions and extracting valuable insights from data. By completing this course, you…
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Introduction to Angular

This course introduces modern front-end development with Angular, TypeScript, standalone components, templates, data binding, Signals, and component communication, equipping programming learners, aspiring front-end developers, and web professionals with the foundational skills to build dynamic, interactive, and maintainable Angular applications. By the end of this program, you will be able to: - Configure an Angular…
Edureka

DeepSeek AI: From Fundamentals to Applications

Model choice is now an architecture decision, not a default. DeepSeek gives teams open weight models they can call through a hosted API or run on their own infrastructure, and this Specialization covers building applications on either. You start with API integration, prompt design, and a conversational developer assistant. You then make responses reliable through schemas, validation, tool calling, and retrieval, and…
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Mastering Claude AI: Prompting, APIs, RAG, and MCP

This specialization teaches you how to design and build intelligent AI applications using Anthropic’s Claude, progressing from effective prompting to production-ready systems built with APIs, Retrieval-Augmented Generation (RAG), and the Model Context Protocol (MCP). In Course 1: Claude AI and Prompting for Everyone, you will learn Claude’s core capabilities, understand safety behavior, work with long documents, and…
Edureka

Generative AI for Automating HR Workflows

This specialization equips HR professionals, recruiters, and business leaders with practical skills to integrate Generative AI into core HR processes. Across three courses, you'll explore foundational AI concepts tailored to HR, apply AI for people management and engagement, and leverage agentic AI with no-code tools for strategic automation. Hands-on projects emphasize ethical implementation, workflow optimization,…
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Mastering C# and .NET Development

This Specialization takes you from writing your first line of C# to deploying a containerized .NET application on Microsoft Azure. You build language skills, web framework skills, and cloud delivery skills. Each concept is reinforced through step-by-step hands-on demonstrations that you can follow along on your own setup, pause, replicate, and practice at your own pace. By the end of this Specialization, you will be…
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DevSecOps: Secure CI/CD Pipelines and Cloud Security

A security review at the end of a release finds problems when they cost the most to fix. This Specialization covers DevSecOps as engineering rather than policy: controls automated inside the pipeline, running on every commit. It spans code, dependencies, containers, infrastructure, cloud, and runtime. You start with shift-left principles and Security as Code, then run SAST with SonarQube and Semgrep, DAST with OWASP…
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MLOps: Build & Deploy ML Systems

Most machine learning models never reach production, and those that do often fail silently once they are live. This specialization gives you the operational skills to move models from experimentation to dependable, scalable systems that keep performing after launch. You will begin with the foundations of MLOps: tracking experiments, versioning data, and reproducing results, then automating training and delivery with…
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Transfer Learning and Fine-Tuning for AI Models

This specialization teaches you how to customize pretrained AI models into reliable, deployable systems using transfer learning and fine-tuning with Python, PyTorch, and Hugging Face. It is designed for developers and data scientists who want to move beyond training models from scratch and deliver AI solutions that perform in real business settings. By the end of this specialization, you will be able to: Explain how…
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Advanced Deep Learning Architectures

Deep learning architectures are the engine behind every major AI breakthrough, from image recognition systems to large language models. This specialization enables you to deep dive into the architectures that power modern AI, building neural networks from scratch, constructing transformer models component by component, training generative systems, and mastering the GPU infrastructure needed to scale these systems in…
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Data Engineering with Open Source Tools

This Specialization covers practical data engineering using widely adopted open-source technologies.You will begin with relational data modeling, SQL, file processing, and data quality using Python and PostgreSQL. You will then process data at scale with PySpark and Spark SQL, build layered and tested transformation models with dbt Core, orchestrate batch workflows with Apache Airflow, and manage open lakehouse data…
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Generative Engine Optimization (GEO)

The Generative Engine Optimization (GEO) Specialization helps you master the skills needed to make AI-generated content visible, credible, and discoverable across generative search engines. As search continues to evolve from keywords to conversations, GEO introduces a future-ready framework that blends traditional SEO strategy with AI-driven optimization. You will learn how to build content that earns visibility and…
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AI-Powered Decision Intelligence

The AI-Powered Decision Intelligence Specialization equips learners with the skills to design, optimize, and automate modern decision ecosystems by integrating data, analytics, behavioral science, and machine learning. As organizations shift from intuition-driven choices to evidence-based intelligence, this Specialization provides a structured, future-ready framework for transforming raw data into meaningful actions…
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Mastering Power BI for Data Analytics & Storytelling

This Power BI specialization is suitable for individuals who are new to the field, as well as business analysts, database administrators, BI developers, IT professionals, data analysts, data engineers, and data scientists. This program is designed to help you enhance your abilities in designing databases, managing and transforming data, utilizing DAX, creating reports, publishing dashboards, generating and observing…
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Neural Networks and Computer Vision Foundations

This course guides you through the foundational principles behind neural networks and computer vision systems, focusing on how forward propagation, backpropagation, optimization, and convolutional architectures enable modern AI applications. Through hands-on demonstrations and practical exercises, you’ll learn to build neural networks from scratch, train them effectively, and apply these models to real-world vision…
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Incident Response and Threat Mitigation

This program equips cybersecurity professionals, SOC analysts, system administrators, and network engineers with the expertise to detect, investigate, contain, and remediate cybersecurity incidents across enterprise environments. You’ll begin by learning the foundations of the incident response lifecycle, exploring essential concepts such as incident classification, prioritization, communication workflows, and role…
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Introduction to Analytics Engineering

This course helps you build a strong foundation in analytics engineering and gives you the practical skills needed to work with modern data systems. You will begin by learning the core components of the modern data stack and the responsibilities of analytics engineers. From there, you will move into analytical SQL, dimensional modeling concepts, and the structure of ELT pipelines. The course concludes with hands-on…
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Software Testing Life Cycle (STLC) Fundamentals

Welcome to Software Testing Lifecycle (STLC) Fundamentals, a foundational course that introduces how software testing ensures quality and reliability in modern software development. This course covers core testing concepts, testing levels and types, test planning, defect management, and debugging fundamentals. By the end of this course, you will be able to: -Explain why software testing is essential for quality and…
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Building and Optimizing Decision Systems

This course dives into how AI-powered decision systems are designed, modeled, and governed. Built for professionals who turn analytics into real business impact, it guides you through engineering intelligent decision workflows from end to end. You’ll kick off by transforming business challenges into structured decision models designing fast, intuitive data flows and building ethical, human-aware processes that make…
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Applied Machine Learning Without Coding

Machine learning is no longer exclusive to developers. This course gives you the hands-on skills to build, evaluate, and optimize regression and classification models using Orange Data Mining — a powerful visual ML platform — without writing a single line of code. Throughout this course, you'll move from core ML fundamentals and essential mathematics through to practical model building, evaluation, and tuning — all…
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Advanced Data Handling and Reactive Programming Concepts

This Advanced Data Handling and Reactive Programming Concepts course equips you with advanced techniques to build, scale, and maintain Angular applications. You will focus on data management, reactive programming, performance optimization, security, accessibility, and internationalization. Learn to leverage RxJS for asynchronous operations, design dynamic forms with advanced validation, and manage application state…
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Angular Forms and REST API Integration

This course explores modern Angular application development with services, dependency injection, shared state, reactive forms, routing, route protection, HttpClient, and REST APIs, equipping front-end developers, programming learners, and aspiring web professionals with the skills to build structured, interactive, and data-driven Angular applications. By the end of this program, you will be able to: -Design Angular…
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Advanced API Technologies

APIs are the backbone of modern applications, connecting services, powering mobile apps, and enabling cloud platforms. In this course, Advanced API Technologies, you’ll go beyond the basics of REST and explore GraphQL, a powerful query language that is reshaping how developers build APIs. Through hands-on projects, you’ll design GraphQL schemas, queries, and mutations, integrate GraphQL with existing REST APIs, and…
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Advanced Tokenization and Sentiment Analysis

This course offers a clear pathway to undertsand advanced tokenization and sentiment analysis—two core pillars of modern NLP. You'll learn how to convert raw text into structured input using subword, character-level, and adaptive tokenization techniques, and how to extract sentiment using rule-based, statistical, and deep learning models. Through hands-on exercises, you’ll gain the skills to handle complex language…
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Predictive Modeling with Python

This Predictive Modeling with Python course provides a practical introduction to statistical analysis and machine learning with Python. You will learn essential machine learning concepts, methods, and algorithms with a strong emphasis on applying them to solve real-world business and data problems. By the end of the course, you will: - Understand different data types used in statistical analysis. - Learn techniques…
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Mastering CrewAI for Multi Agent Systems

Multi-agent AI systems are transforming how organizations automate complex workflows and this specialization help you master CrewAI, one of the fastest-growing open-source frameworks for building multi-agent systems, and learn to design, build, and deploy autonomous AI agent teams that plan, reason, and collaborate to solve real-world problems. Each concept is reinforced through step-by-step hands-on demonstrations…
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Multimodal AI Agents

Most AI systems still expect clean text. The work people need done arrives as screenshots, scanned invoices, product photos, voice notes, and charts buried in PDFs. This Specialization covers multimodal AI agents: systems that interpret all of it, then act on what they find. You start with what separates an agent from an assistant, then add prompt design, memory, and tool calling until it does something useful. You…