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Curriculum for the course How to Survive in Tech When Everything's Changing w/ 21-year Veteran Dev Joe Attardi [Podcast #174] On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Joe Attardi. He's a software engineer and prolific author of programming books. We talk about: How software development has changed over the past 21 years Tips for suriving AI's sweeping changes to the field The evolving role of Computer Science degrees Why people should still read O'Reilly style programming books on dead trees Support for this podcast comes from a grant from Wix Studio. Wix Studio provides developers tools to rapidly build websites with everything out-of-the-box, then extend, replace, and break boundaries with code. Learn more at https://wixstudio.com. Support also comes from the 11,423 kind folks who support freeCodeCamp through a monthly donation. You can join these chill human beings and help our charity's mission by going to ...

Curriculum for the course Python for Data Science – Course for Beginners Get started with data science using Python! This course covers essential tools like Pandas and NumPy, plus data visualization, cleaning, and machine learning techniques. Perfect for beginners, you'll gain the skills to analyze and interpret data effectively. YouTube Channel: https://www.youtube.com/@ThePyCoach Source Code & Datasets: https://github.com/thepycoach/python-for-data-science Python for Data Science Cheat Sheet (Free PDF): https://artificialcorner.com/p/redeem-my-udemy-courses-for-free Course in Spanish: https://youtu.be/Rgag-Clu5L4 ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Installation and Setup ⌨️ (0:27:23) Python Basics ⌨️ (1:41:41) Introduction to Pandas and Numpy ⌨️ (3:26:15) Project #1 - Web Scraping with Pandas ⌨️ (4:05:36) Filtering Dat...

Curriculum for the course Build REST APIs in .NET 9 – Full Course for Beginners Learn how to code REST APIs in .net 9 as an Absolute Beginner. This step-by-step guide from @codeafuture is for those new to ASP.NET Core. It covers everything from what REST APIs are to handling CRUD operations and connecting to a SQL Server database. 🔗 Source Code: https://github.com/codeafuture/FirstAPI Learn .NET faster with real support & practical guidance: https://www.skool.com/dotnetsquad ⚡️ Free .NET Developer Roadmap: https://dotnetdeveloperroadmap.com/ 📚 ASP.NET Core MVC Blueprint: https://payhip.com/codeafuture 📙 Check out my C# eBook: https://payhip.com/b/FQ58o ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ 00:00 Overview 00:54 What are REST APIs? 02:02 Getting started in ASP.NET Core 07:17 REST API Models 10:00 Creating the Controller 10:39 Creating a...

Curriculum for the course Building a Vision Transformer Model from Scratch with PyTorch Learn to build a Vision Transformer (ViT) from scratch using PyTorch! This hands-on course guides you through each component, from patch embedding to the Transformer Encoder. Train your custom ViT model on CIFAR-10 and gain practical experience in image classification. Transition from CNNs to transformers in this efficient, end-to-end tutorial. Code: https://github.com/MOHAMMEDFAHD/pytorch-collections/blob/main/Building_Vision_Transformer_on_CIFAR_10_From_Scratch_Pytorch.ipynb Course developed by @programmingoceanacademy ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:28:23) Theoretical Explanation of Vision Transformers ⌨️ (0:47:40) Environment Setup and Library Imports ⌨️ (0:55:14) Configurations and Hyperparameter Setup ⌨️ (0:58:28) Ima...

Curriculum for the course Laid off but not afraid with X-senior Microsoft Dev MacKevin Fey [Podcast #173] On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews MacKevin Fey. He just got laid off last week from his senior engineering role at Microsoft. We talk about: How Mack's approaching the job search after being laid off Tips for building your own financial safety net while working as an engineer How to use your dev skills to help people around you in the meantime And how Mack trains mentally and physically for the rigors of modern work Support for this podcast comes from a grant from Wix Studio. Wix Studio provides developers tools to rapidly build websites with everything out-of-the-box, then extend, replace, and break boundaries with code. Learn more at https://wixstudio.com. Support also comes from the 11,423 kind folks who support freeCodeCamp through a monthly donation. You can join these chill human beings and help our charity...

How AI is Disrupting the Web: Cloudflare CEO Matthew Prince Sounds the Alarm | Image credit: Pexel 1. Zero-Click Internet: A Paradigm Shift for the Web In the recent interview, Cloudflare CEO Matthew Prince lays out a sobering trend: the emergence of a 'zero-click' internet. This term refers to a growing phenomenon where users no longer need to visit websites to get answers. Thanks to AI-powered search summaries and instant-answer platforms, information is increasingly consumed directly on search engine results pages (SERPs) or via conversational agents like ChatGPT, Perplexity, or Google's AI Overviews. While convenient for users, this shift poses a threat to the core economic model that has sustained the web for decades. Websites rely on traffic to monetize content—either through advertising, subscriptions, or conversions. In a zero-click world, these incentives collapse. As Prince puts it, 'We risk hollowing out the incentive for people to create content in the first...

AWS KMS vs Azure Key Vault vs Google Cloud KMS | Image credit: Pexel Key management is a cornerstone of cloud security, enabling encryption, access control, and compliance. AWS Key Management Service (KMS), Azure Key Vault, and Google Cloud Key Management Service provide managed solutions for creating, storing, and managing cryptographic keys. This article examines their core features, similarities, and differences to help you choose the best key management solution for your cloud environment. Key features of AWS Key Management Service (KMS) Centralized management of symmetric and asymmetric cryptographic keys Seamless integration with AWS services like S3, EBS, RDS for encryption Support for customer-managed and AWS-managed keys Automatic key rotation and key policies for granular access control Audit capabilities via AWS CloudTrail FIPS 140-2 validated hardware security modules (HSMs) AWS KMS Documentation Key features of Azure Key Vault Secure storage of keys, secrets, and certifica...

AWS Route 53 vs Azure DNS vs Google Cloud DNS | Image credit: Pexel Domain Name System (DNS) services are vital for routing internet traffic to the right cloud resources. AWS Route 53, Azure DNS, and Google Cloud DNS provide scalable, reliable DNS hosting within their cloud ecosystems. This article explores their key features, similarities, and differences to guide you in selecting the best DNS solution for your cloud architecture. Key features of AWS Route 53 Highly available and scalable DNS service with global anycast network Supports public and private hosted zones Health checks and DNS failover for high availability Traffic flow policies for routing based on latency, geolocation, and weighted routing Integration with AWS services like ELB, CloudFront, and S3 Domain registration capabilities AWS Route 53 Documentation Key features of Azure DNS Reliable, high-performance DNS hosting with global anycast Supports public and private DNS zones Integration with Azure services like Traffi...

AWS Secrets Manager vs Azure Key Vault vs Google Secret Manager | Image credit: Pexel Managing sensitive information like API keys, passwords, certificates, and tokens securely is crucial in cloud-native environments. AWS Secrets Manager, Azure Key Vault, and Google Secret Manager offer managed services to store and access secrets securely. In this article, we’ll explore their key features, similarities, and differences to help you choose the best secret management solution. Key features of AWS Secrets Manager Securely stores and retrieves secrets like database credentials, tokens, and API keys Automatic rotation of secrets using AWS Lambda integration Fine-grained access control via AWS IAM policies Integrated with AWS CloudTrail for audit logging Supports cross-account access to secrets Native SDK support and seamless integration with other AWS services AWS Secrets Manager Documentation Key features of Azure Key Vault Manages secrets, encryption keys, and certificates in one unified ...

Veo 3 vs Imagen 4: Breaking Down Google’s Next-Gen AI Video & Image Models | Image credit: Youtube Google continues its rapid AI innovation streak with the release of Veo 3 , its most advanced video generation model to date, alongside Imagen 4 , a top-tier image generation model designed for photorealism and concept synthesis. In this article, we’ll break down both models— Veo 3 vs Imagen 4 —and explain how they differ in capabilities, use cases, and developer integration. Key features of Veo 3 Generates cinematic video from text prompts Supports resolutions up to 1080p Understands temporal coherence for motion Captures lighting, shadows, and artistic direction Integrates with Google VideoFX, Flow AI, and Gemini Key features of Imagen 4 High-resolution image generation from text Trained on Google DeepMind datasets Fine control over style, lighting, and subject matter Available in Ultra and Pro variants via Gemini API Photorealistic rendering close to human photography What is simi...

Google Veo 3 Pricing, Features and Use Cases: What You Need to Know in 2025 | Image credit: Youtube Google Veo 3 Pricing, Features and Use Cases: What You Need to Know in 2025 In 2025, Google introduced Veo 3 , its most powerful generative AI video model yet. With stunning 1080p resolution, extended coherence in video sequences, and a growing range of creative use cases, Veo 3 is poised to become the foundation of AI-assisted video generation for creators, businesses, and developers alike. Key Features of Veo 3 Text-to-Video Generation: Veo 3 can generate up to 60-second high-fidelity 1080p videos from simple text prompts. Video Style Conditioning: Users can define cinematic styles (e.g., aerial, time-lapse, macro, etc.) using prompt cues or reference videos. Advanced Motion Consistency: Veo delivers longer temporal coherence than previous models, enabling smooth transitions, stable objects, and less jitter. Prompt-to-Edit: Veo 3 supports editing pre-generated clips with new prompt...

From Veo 2 to Veo 3: What’s New in Google’s AI Video Revolution? | Image credit: Youtube From Veo 2 to Veo 3: What’s New in Google’s AI Video Revolution? The evolution from Veo 2 to Veo 3 marks a major leap in Google's pursuit of truly generative video AI. With capabilities that blur the line between real-world cinematography and machine imagination, Veo 3 is more than just an upgrade—it’s a revolution. In this article, we’ll explore what’s changed, what’s improved, and how it impacts real-world applications like sports video analysis, livestream enhancement, and AI-powered video creation . Key Features of Veo 3 1080p Resolution & Extended Runtime: Veo 3 now supports up to 60-second videos in full HD. Real-time Generation: Thanks to improved temporal coherence, Veo 3 can generate live-like sequences, ideal for dynamic scenes like sports. Context-Aware Editing: Prompts can adjust existing video outputs for better storytelling flexibility. Multimodal Inputs: Combine text w...

How to Use Veo 3: A Complete Guide to Google's Latest AI Video Model Veo 3 is Google's latest and most advanced AI video model, capable of generating cinematic-quality videos from text prompts. If you're wondering how to use Veo 3 , this guide walks you through login steps, API setup, example prompts, pricing, and best practices for deploying generative video in your applications. Key features of Veo 3 Text-to-video synthesis up to 1080p Supports long-form coherence Understands cinematic prompts (e.g., aerial drone shot, timelapse) Improved lighting, motion physics, and consistency Built on Google’s Gemini + Imagen foundation models Whether you're a developer, content creator, or enterprise team, Veo 3 opens new frontiers for automated storytelling and synthetic media generation. Step-by-step guide on how to use Veo 3 1. Sign Up for Veo 3 Access Go to video.google and request early access. Currently, access is limited to select creators and researchers via Google Vide...

Veo 3 and Google Flow AI: The Future of Video Generation Is Here Veo 3 and Google Flow AI are changing the landscape of content creation, pushing the boundaries of what's possible with generative video. As generative AI reaches new heights, tools like Veo 3—Google’s most advanced video model yet—are setting the gold standard for video generation. Key features of Veo 3 Veo 3 is a next-generation AI video model capable of creating cinematic-quality footage from simple text prompts. Its features include support for long-form content, natural motion, realistic lighting, and stylistic consistency across frames. It leverages Google's internal multimodal foundation models and builds on prior work such as Imagen Video and Phenaki. Text-to-video synthesis HD rendering (1080p+) Understanding of cinematic terms like “timelapse,” “aerial shot,” etc. Consistency and temporal coherence In terms of application, Veo can produce ad-quality videos, movie trailers, visual effects sequences, and ...

The Fall of All-in-One WP Migration: What WordPress Users Need to Know | Image credit: Youtube 1. From Hero to Headache: Why the Community is Frustrated All-in-One WP Migration was once a beloved tool for WordPress users, known for its ease of use in migrating entire sites. However, its recent business practices have sparked controversy. Initially free and full-featured, the plugin now imposes strict upload limits and locks essential functionalities—such as restoring backups—behind expensive paywalls. Users feel betrayed by this transition. Once a free and open-access solution, the plugin now monetizes features that used to be core. This has caused a shift in perception from trusted tool to cash-grab, especially among freelancers and small businesses relying on budget-friendly options. 2. File Size Limits and Paid Unlocks: A Closer Look One of the most criticized changes is the strict 512MB file upload limit in the free version. This essentially makes the plugin unusable for most moder...

AWS CloudWatch vs Azure Monitor vs Google Cloud Operations Suite | Image credit: Pexel Monitoring and logging are critical for maintaining the health, performance, and security of cloud environments. AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite (formerly Stackdriver) are the flagship monitoring and logging services from AWS, Azure, and GCP. This article explores their key features, similarities, and differences, guiding architects in selecting the right toolset. Key features of AWS CloudWatch Comprehensive monitoring for AWS resources and applications Collects logs, metrics, and events in one place Alarms and automated actions based on thresholds Custom metrics and dashboards for visualization CloudWatch Logs Insights for querying log data Integration with AWS Lambda, SNS, and EC2 Auto Scaling AWS CloudWatch Documentation Key features of Azure Monitor Unified monitoring for Azure resources, applications, and on-premises Collects metrics, logs, and traces Provides Ap...

Amazon Kinesis vs Azure Event Hubs vs Google Cloud Pub/Sub | Image credit: Pexel Event streaming platforms allow applications to process and analyze data streams in real time, enabling responsive and scalable architectures. Amazon Kinesis, Azure Event Hubs, and Google Cloud Pub/Sub are the top managed event streaming services from AWS, Azure, and GCP respectively. This post compares their key features, similarities, and differences to help architects choose the best fit. Key features of Amazon Kinesis Fully managed service for real-time data streaming Multiple components: Kinesis Data Streams, Firehose, Analytics, and Video Streams Kinesis Data Streams supports durable, ordered streaming with custom shard scaling Firehose delivers streaming data to destinations like S3, Redshift, Elasticsearch Integrates with Lambda for real-time processing Supports high throughput and low latency Amazon Kinesis Documentation Key features of Azure Event Hubs Big data streaming platform with real-time e...

AWS Lake Formation vs Azure Data Lake vs Google Cloud Data Lake | Image credit: Pexel As organizations generate increasingly vast volumes of structured and unstructured data, data lakes have emerged as a pivotal architecture for enabling scalable, cost-effective data storage and analytics. Leading cloud providers—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)—offer managed data lake solutions tailored to their cloud environments. In this article, we dive deep into the core capabilities, similarities, and differences of AWS Lake Formation, Azure Data Lake Storage, and Google Cloud Storage/Data Lake architecture. Key features of AWS Lake Formation Built on top of Amazon S3 and AWS Glue Allows quick setup of secure, scalable data lakes Integrated access control policies for tables and columns Data cataloging and schema discovery via AWS Glue Fine-grained data access control using IAM and Lake Formation permissions Native integration with Amazon Athena, Redshif...

Amazon SQS vs Azure Service Bus vs GCP Pub/Sub | Image credit: Pexel Message queues enable decoupling between microservices and help in building scalable, event-driven architectures. Leading cloud providers offer managed messaging queue solutions— Amazon SQS , Azure Service Bus , and Google Cloud Pub/Sub . This post dives deep into each, with an SEO-optimized analysis of their features, similarities, and differences. Key features of Amazon SQS Fully managed message queuing for microservices and serverless apps Supports Standard (at-least-once) and FIFO (exactly-once) queues Message size up to 256 KB, extended to 2 GB with S3 Integrates with Lambda, ECS, S3, and SNS Dead-letter queues, message delay, and batching supported Access control with IAM policies Event logging and monitoring via CloudWatch Amazon SQS Documentation Key features of Azure Service Bus Supports both queue and publish-subscribe (topic) patterns Standard and Premium tiers with message deduplication and sessions Advanc...

AWS IoT Core vs Azure IoT Hub vs GCP IoT Core | Image credit: Pexel In the modern connected world, Internet of Things (IoT) platforms offered by cloud providers are the backbone of intelligent edge solutions. AWS IoT Core , Azure IoT Hub , and Google Cloud IoT Core are the flagship services provided by Amazon, Microsoft, and Google respectively. This blog post compares these platforms across key features, similarities, and differences to help you select the right one for your IoT solution. Key features of AWS IoT Core Secure device connectivity using MQTT, WebSockets, and HTTP Device authentication and authorization using AWS IAM and X.509 certificates Device Shadows for maintaining device state Rules engine for routing data to AWS services (Lambda, S3, DynamoDB, etc.) Integration with AWS Greengrass for edge computing Fleet indexing and jobs for managing large-scale deployments Supports AWS IoT Analytics, Device Defender, and SiteWise AWS IoT Core Docs Key features of Azure IoT Hub B...

Google I/O 2025: Top 5 Innovations Shaping the Next Decade 1. Gemini 2.5: Unlocking the Next Level of Multimodal AI Google's flagship AI model Gemini took a massive leap forward with the unveiling of version 2.5. It now supports deeply integrated multimodal interactions across vision, voice, and text. Gemini 2.5 can process videos, images, and text in tandem, offering a cohesive and intelligent experience across inputs. This update enhances not only consumer tools but also opens doors for developers to integrate Gemini APIs into their applications via Google Cloud. Gemini 2.5 is deeply embedded into the Pixel ecosystem, Workspace apps, and the Gemini App itself, offering smarter summarizations, contextual suggestions, and personalized workflows. Developers can now leverage the Gemini API on Google AI Studio to build AI-native experiences. These APIs bring developer-centric documentation and new security controls that make integration enterprise-ready. Expect future Android Studio ...