Complete Generative AI : Build Pro Web, Mobile & SaaS Apps
Start your journey into Generative AI (GenAI) with this beginner-friendly course by Dey Academy. Duration: Self-paced. This comprehensive course covers everything you need to know about Generative AI (GenAI). Join thousands of satisfied students who have mastered Generative AI (GenAI) through this highly-rated course. Whether you're looking to change careers or enhance your existing skills, this Generative AI (GenAI) course delivers valuable content.
Student Reviews
Login to write a review and rate this course.
No reviews yet.
Frequently Asked Questions
Click the 'Enroll Now' button. You will be redirected to the course page on Udemy (or another platform). The coupon code is usually automatically applied. If not, look for a code in the description or the 'Apply Coupon' section on the checkout page.
Yes, for most Udemy courses, once you enroll using the 100% off coupon, you get lifetime access and a certificate of completion upon finishing the course, just like a paid student.
Coupons have a limited number of redemptions or expire after a certain time (often 5 days or less). If a coupon is not working, it likely means it has expired or reached its maximum usage limit. We recommend checking our latest posts for fresh coupons.
Yes! Once you successfully enroll in the course while the coupon is active, you will have lifetime access to the course content, including future updates.
The courses are hosted on reputable platforms like Udemy. When you enroll with a 100% off coupon, the price should be $0.00, and you generally do NOT need to enter credit card information for free transactions on Udemy.
You Might Also Like
Oil & Gas Strategy: Capital, Competition & Game Theory
This course contains the use of artificial intelligence.Oil & Gas Strategy: Capital, Competition and Game TheoryDo you want to be involved in the real strategic decisions at your organization?This is not a technical engineering course. It is advanced strategic thinking for professionals, using oil and gas, LNG and energy markets as the core context.Have you ever asked:Why companies expand LNG capacity at the same time?Why hydrogen projects move forward and then stall?Why some national oil companies survive low oil prices while others struggle?How capital allocation decisions are really made?This course teaches oil and gas strategy at an executive level.You will learn:What strategy really means in long cycle industriesWhat strategic tools are used in corporate decision makingHow techno economic factors shape strategy formulationHow to analyze LNG and gas market competitionHow to apply game theory to pricing wars and capacity expansionHow to design ten year corporate strategiesHow to structure capital allocation under volatilityHow to stress test portfolios under oil price declineHow governance and stage gate discipline protect long term valueIf you work in upstream, LNG, hydrogen, petroleum economics, planning, or within a national oil company, this course will upgrade how you think about capital, competition and long cycle strategy.No MBA required.No advanced mathematics required.Only industry awareness and the willingness to think strategically.Ready to move from operations to strategy?Enroll and begin thinking like a decision maker.Who this course is for:Oil & gas professionals transitioning into strategic or leadership rolesPetroleum engineers seeking to understand capital allocation decisionsLNG and gas project managers involved in investment planningNational oil company professionals working in strategy, planning, or economicsEnergy economists and analysts focused on LNG, hydrogen, and market competitionSenior technical professionals who want MBA-level strategic thinking
Terraform Zero to Hero with AWS Hands-On for Beginners-2026
Terraform is one of the most in-demand DevOps tools used to automate cloud infrastructure.In this course, you will learn Terraform from absolute beginner to advanced level using real-world hands-on examples with AWS.This course is designed for beginners, DevOps engineers, cloud engineers, and anyone who wants to automate infrastructure using Infrastructure as Code.We start from the basics, including what Terraform is, how it works, and how to install and configure it.Then, you will learn how to create real AWS resources using Terraform such as EC2 instances, Security Groups, and complete infrastructure.You will also learn important Terraform concepts including:• Terraform commands (init, plan, apply, destroy)• Variables and Outputs• Terraform State file• Remote Backend using AWS S3• Terraform Modules• Env• WorkspaceFinally, you will build a real-world AWS infrastructure project using Terraform.This course is fully hands-on and beginner-friendly.After completing this course, you will be able to use Terraform in real DevOps projects and apply for DevOps and Cloud Engineer roles.Learn Terraform from scratch with AWS. Build real infrastructure, manage state, use modules, and automate cloud resources with hands-on DevOps projects step-by-step.This course is part of the DevOps training series by DevTestBuild Class. Thank you Who this course is for:Beginners who want to learn TerraformDevOps Engineers who want to automate infrastructureAWS learners who want hands-on automation skillsSystem AdministratorsCloud EngineersStudents who want DevOps jobsAnyone interested in Infrastructure as Code
Associate Professional Risk Manager APRM Certificate
💡 Expert Insight: 🚀 **Career Boost:** As organizations navigate increasingly complex global challenges, a piecemeal approach to risk is insufficient. This certificate cultivates a holistic understanding of risk across strategic, financial, and operational dimensions, transforming students into proactive architects of organizational resilience and sustainable growth.Welcome to Program: Associate Professional Risk Manager (Associate PRM Certificate) by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 215 countries and has been chosen by more than 620 000 students.Course Author:Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.Risk management is the process of identifying, assessing, and controlling potential threats to an organization. These threats, or risks, could stem from a wide variety of sources.Here are the main focuses of risk management:Identification: Finding potential risks that could affect your organization or project. This involves brainstorming, looking at past issues, and considering what might happen in the future.Assessment: Determining the likelihood of those risks happening and how severe the impact would be if they did. This helps prioritize which risks need the most attention.Control: Taking steps to reduce the likelihood of the risks happening or to minimize their impact if they do. This might involve things like putting safety procedures in place, buying insurance, or having backup plans.Why is it important?Minimizes losses: By identifying and managing risks, companies can reduce financial losses, protect their reputation, and avoid legal issues.Improves decision-making: Risk management provides a framework for making informed decisions, considering potential downsides and opportunities.Enhances resilience: It helps companies to be prepared for unexpected events and to bounce back quickly from setbacks.Increases the likelihood of success: By addressing potential problems proactively, companies can increase their chances of achieving their goals.For managers specifically:Protects their team: Managers are responsible for the safety and well-being of their team. Risk management helps them create a safe work environment and minimize potential harm.Builds trust: Employees trust managers who are prepared and take steps to protect them from risks.Improves performance: When risks are managed effectively, employees can focus on their work without worrying about potential problems.In uncertain world, risk management is more critical than ever. It's an essential skill for companies and managers who want to thrive in the face of challenges.Who this course is for:No special requirements. A course for anyone who wants to build career in business and risksRisk management is the process of identifying, assessing, and controlling potential threats to an organization. These threats, or risks, could stem from a wide variety of sources. Here are the main focuses of risk management: Identification: Finding potential risks that could affect your organization or project. This involves brainstorming, looking at past issues, and considering what might happen in the future. Assessment: Determining the likelihood of those risks happening and how severe the impact would be if they did. This helps prioritize which risks need the most attention. Control: Taking steps to reduce the likelihood of the risks happening or to minimize their impact if they do. This might involve things like putting safety procedures in place, buying insurance, or having backup plans.Why is it important? Minimizes losses: By identifying and managing risks, companies can reduce financial losses, protect their reputation, and avoid legal issues. Improves decision-making: Risk management provides a framework for making informed decisions, considering potential downsides and opportunities. Enhances resilience: It helps companies to be prepared for unexpected events and to bounce back quickly from setbacks. Increases the likelihood of success: By addressing potential problems proactively, companies can increase their chances of achieving their goals.For managers specifically: Protects their team: Managers are responsible for the safety and well-being of their team. Risk management helps them create a safe work environment and minimize potential harm. Builds trust: Employees trust managers who are prepared and take steps to protect them from risks. Improves performance: When risks are managed effectively, employees can focus on their work without worrying about potential problems. In uncertain world, risk management is more critical than ever. It's an essential skill for companies and managers who want to thrive in the face of challenges.
MCP for devs - Master Model Context Protocol - Python/TS
Unlock the Future of AI DevelopmentReady to take your AI applications to the next level? The Model Context Protocol (MCP) is revolutionizing how AI systems interact with external tools, data sources, and services. This comprehensive course will transform you from an MCP beginner into a confident builder of production-ready AI integrations.What You'll MasterFoundation & Setup Start strong with a solid understanding of MCP architecture, hosts, and the ecosystem. You'll set up your development environment and connect your first external MCP within minutes.Hands-On Building in Two Languages Choose your weapon—or learn both! Build complete MCP servers in TypeScript and Python with parallel implementations that let you compare approaches and pick what works best for your projects.Core Concepts That MatterNavigate MCP transport layers including HTTP implementationsMaster the three MCP primitives: Tools, Resources, and PromptsUnderstand when to use Resources vs Tools for optimal performanceDebug and inspect your MCPs like a proReal-World Practice Project Put theory into action with a complete, practical MCP project where you'll build a fully functional pizza ordering system. Learn to handle HTTP calls, display images in responses, manage parameters, and track orders through a real-world implementation.Why This Course?Parallel Language Support: Every major concept taught in both TypeScript and PythonProgressive Learning: From "Hello World" to complex integrationsProduction-Ready Skills: Learn patterns used in real applicationsHands-On Practice: Build actual working projects, not just toy examplesWho This Is ForDevelopers looking to integrate AI into existing applicationsAI enthusiasts ready to move beyond basic chatbot interactionsBackend engineers exploring modern AI architecturesAnyone curious about building the infrastructure that powers next-generation AI applicationsBy the End of This CourseYou'll confidently build custom MCP servers that extend AI capabilities with external tools, serve dynamic resources, and create seamless integrations. Whether you're building internal tools, commercial products, or experimental projects, you'll have the skills to make AI work with your systems, not just alongside them.The future of AI is extensible. Learn to build it.Who this course is for:Any developer who wants to learn MCP - Model Context Protocol
Azure Databricks Data Engineering: Build a Lakehouse
Stop watching tutorials. Start building.Are you tired of "Hello World" examples that don't reflect the real world? Do you want to build a portfolio-ready Data Engineering project that you can actually show to hiring managers?Welcome to the Dubai Real Estate Lakehouse Project.In this course, we won't just learn syntax; we will build a production-grade data platform. You will take on the role of a Lead Data Engineer tasked with analyzing the chaotic, high-volume property market of Dubai. Your mission? To build an automated "Daily Pulse" system that ingests, cleans, and visualizes market trends every single morning—entirely in the cloud.What makes this course different?100% Cloud-Native: No Power BI. No Tableau. No expensive licenses. You will learn the modern way to visualize data using Databricks Native Dashboards.Zero Cost Strategy: I will show you how to build this entire enterprise architecture using the Azure Free Account ($200 credit) and smart cost-management techniques. You don't need a corporate email or a paid subscription.End-to-End Pipeline: We don't skip steps. You will build everything from the Raw Data Ingestion to the final Executive Dashboard.What you will learn:Azure Infrastructure: Deploy Data Lakes (Gen2), Key Vaults, and Databricks Workspaces using the Azure Portal.The Medallion Architecture: Architect a professional Bronze (Raw), Silver (Clean), and Gold (Aggregated) data flow.PySpark & SQL Mastery: Write robust transformations to handle messy JSON data, enforce schemas, and deduplicate records.Delta Lake Internals: Master "Time Travel," ACID transactions, and Schema Enforcement to treat files like database tables.Orchestration: Replace manual runs with automated Databricks Workflows (Jobs) that run on a Cron schedule.Native BI: Build stunning, auto-updating dashboards directly inside Databricks using SQL visualizations.The Project: "The Dubai Pulse"You will build a system that tracks millions of dollars in property transactions.Ingest: Fetch raw JSON transaction logs into the Bronze layer.Clean: Fix data quality issues, handle missing values, and standardize currency formats in the Silver layer.Model: Create "Star Schema" fact tables in the Gold layer for high-performance analytics.Visualize: Launch a live URL dashboard showing "Top 10 Investment Areas" and "Monthly Sales Trends."Who is this course for?Aspiring Data Engineers who need a flagship project for their portfolio/resume.SQL/Python Developers looking to move into Big Data and Spark.Data Analysts who want to learn how to build their own pipelines and move up the stack.Requirements:No prior Cloud experience required (we start from zero).Basic familiarity with SQL or Python is helpful but not mandatory.A Google/Microsoft email address to sign up for the Free Azure Account.Note: A Corporate/Work email is NOT required for this course.Enroll today and build the Data Lakehouse of tomorrow.Who this course is for:Aspiring Data Engineers looking to build a portfolio-ready project using the industry-standard Modern Data Stack.Data Analysts who want to transition into engineering by learning how to build the pipelines that feed their reports.Python or SQL Developers interested in learning Big Data processing with Apache Spark and cloud architecture.
![[NEW!] AWS Certified Solutions Architect Associate (SAA-C03)](https://img-c.udemycdn.com/course/480x270/6899699_e59b_4.jpg)
[NEW!] AWS Certified Solutions Architect Associate (SAA-C03)
I believe that a strong technical foundation is the key to a successful AWS career, and it must be built right. With this belief, I have built this course from the ground up, drawing on a decade of AWS expertise, 20 years in IT, and 7 years of working at AWS as a Senior Solutions Architect.So try to get the most out of this course. All the best!~ChetanAbout this course:This is not just any other AWS Certification course which focuses only on exam, this course provides everything you need to know as a real AWS Solutions Architect. We are going to cover even the basic tech such as What is container? How HTTPS work? How DNS works? What is object storage? What is Big data? and many more such topics. Hence look this as a comprehensive course beyond the AWS.This course provides you everything to pass your AWS Certified Solutions Architect Associate exam (SAA-C03)This course contains 50+ hands-on exercises to make sure that you are confident to work in AWS. Also, this is a COMPLETE course which means I won't ask you to go through any other videos, white-papers or documentation.No prior IT or Cloud experience required. This course can be taken by absolute beginners.Only thing required to complete this course and pass your exam is - Sincere efforts and dedication !Course topics:Getting Started with AWS - AWS Global Infrastructure and AWS AccountOverviw of AWS serivces (from Solutions Architect perspective)AWS Identity and Access Management (IAM)Amazon EC2 and EBS - Basics and Advanced FeaturesLoad Balancing and Autoscaling (ALB, NLB, GWLB and ASG)Networking in AWS - Virtual Private Cloud (VPC), VPN, DirectConnect, Transit Gateway and moreAmazon S3 - Basics and Advanced FeaturesContainers on AWS - ECS, EKS and FargateDatabases in AWS - RDS, DynamoDB, DocumentDB, Neptune etc.Big data and Analytics in AWS - Amazon Glue, EMR, Athena, RedshiftMachine learning in AWS - Amazon SageMaker, AI Services (Rekognition, Transcribe, Polly, Translate etc.)Edge Networking - Amazon CloudFront, Global AcceleratorDNS - Amazon Route 53 (Public/Private Hosted zones, Record types and more)AWS Serverless - API Gateway and AWS LambdaApplication Integration services - SNS, SQS, EventBridgeAWS Data Security - ACM, KMS and Secrets ManagerInfrastructure as Code - Amazon CloudFormation and CDKApplication Deployment Services - Elastic BeanStalk, Logging and Monitoring - Amazon CloudWatch, X-Ray and AWS HealthInfrastructure Management - AWS Systems Manager, AWS CloudTrail and AWS ConfigSecurity in AWS - AWS WAF, Shield, Inspector, GuardDuty and Security Hub etc.AWS Account Management - AWS Organization, AWS Control Tower, RAMAWS Billing - AWS Calculator, AWS Cost ExplorerOther Storage Services - EFS, FSx, Storage Gateway and moreAdvanced IAM - AWS Identity Center and Amazon CognitoDownload Exam Essentials guideFull Practice Test (65 questions)Pre-requistes:You will need an AWS account for performing all the labs. Instructions for creating an AWS account and configuring it are provided in the Course pre-requisite section.Who this course is for:This course is designed for anyone who wants to learn AWS from stratch and earn their AWS Solutions Architect Associate certificate.
Related AI Tools
Course Details
Premium Course Collection
Get access to 115+ premium paid courses collection with 8000+ videos and 3500+ files on Telegram