THEE DARK

File Name:   Claude Code – The Complete Guide Content Source:   https://www.udemy.com/course/claude-code-the-complete-guide/ Genre / Category: Premium courses Password:  
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ABOUT THE COURSE:
Master Claude Code & Modern AI Coding — From Foundations to Real-World Implementation
This course teaches you how to use Claude Code properly inside real projects.
Not just prompting.
Not generic theory.
Not shallow tutorials.
 
You will learn how to:
Work with Claude Code inside real codebases
Build structured AI-assisted workflows
Design and ship practical AI-driven applications
Move from prompting → production-ready execution
No prior experience with AI is required.
You’ll start from the foundations and progress step by step into real implementation.
 
What Makes This Course Different?
Most AI courses focus on:
Writing prompts
Talking about AI concepts
Surface-level automation demos
 
This course focuses on:
AI Coding inside real workflows.
You’ll understand how Claude Code operates across files, tasks, and structured development flows — and how to control it confidently.
 
What You’ll Build
This is not theory-heavy.
You will:
Build AI-assisted software projects
Refactor and improve structured codebases
Create workflow-driven implementations
Develop a full capstone system from scratch
 
By the end, you won’t just “know about” Claude Code.
You’ll be able to use it confidently inside practical development environments.
 
Who This Is For
Beginners who want a structured entry into AI Coding
Developers who want to move beyond prompting
Technical professionals who want to increase output with AI
Builders who want to understand modern Vibe Coding properly
 
What You’ll Get
Step-by-step structured curriculum
Practical projects and guided implementation
Lifetime access
Downloadable resources
30-day money-back guarantee
 
The Real Outcome
AI is lowering the barrier to building.
The differentiator is no longer “Can you code?”
It’s:
Can you direct AI inside real workflows?
That’s the skill this course develops.
See you inside the course.

File Name:   AI Engineering: Retrieval Augmented Generation (RAG) for LLMs Content Source:   https://zerotomastery.io/courses/ai-engineer-bootcamp-retrieval-augmented-generation/ Genre / Category: Coding Courses Language: ENGLISH Price:   $199  
ABOUT THE COURSE:
The short version is that an AI Engineer works on the entire lifecycle of an AI application - that is, an application that utilizes AI at its core. An AI Engineer takes AI models, including Large Language Models, and customizes them to their needs.
That requires everything from building models using custom datasets, to training and tuning models, to deploying models and scaling them using cloud technologies.
The role is growing like wildfire, but it's still evolving and will no doubt continue evolving as the AI landscape changes.
What Is Retrieval Augmented Generation (RAG)?
Have you ever wondered why some AI systems can feel limited, giving answers that seem a bit generic or off-target? Well that's because they're limited to the knowledge in their training data.
And that's a lot of data. But it's not everything. It doesn't include private data, nor does it include recent data that has been created since the model was trained.
Retrieval-Augmented Generation, or RAG, addresses this by supplementing AI models with that private or new information.
Instead of relying only on what it was trained on, RAG retrieves up-to-date, relevant information from a database or document.
Here’s how it works: the system first finds the most relevant pieces of information for a given question (retrieval). Then, it uses a language model to generate a response based on that information (generation). That's why it's called retrieval-augmented generation!
The result is an AI that combines the best of both worlds: real-time access to external knowledge and the ability to express it clearly.
Let's do an example.
Picture this: You’re browsing a clothing store’s website, looking for a specific jacket in your size and favorite color, but you’re not sure if it’s in stock. Instead of clicking through endless filters, a chatbot powered by RAG can make this effortless.
When you ask, “Do you have the blue jacket in a medium size?” the RAG system retrieves real-time inventory data from the store’s database. It finds the exact details, like availability in nearby stores or estimated delivery dates - information that would not be in the AI model's training data. And then it uses that information to generate a useful response: “Yes, we have it in stock! You can pick it up at our downtown location or have it delivered by Friday.”
This kind of dynamic, accurate interaction makes shopping easier and faster, ensuring you get the answers you need without the hassle.
RAG is increasingly used in AI applications like chatbots, research tools, and data analysis systems, where accuracy and context are essential. It’s a practical way to make AI more reliable and useful in complex scenarios.
Why This RAG Course?
Well, because it's the best, most up-to-date, and practical AI Engineering Bootcamp course online that teaches you real-world RAG skills and that lets you get hands-on so that you can actually use your skills in the real-world.
But of course we're biased. So here's a breakdown of what's covered in this RAG Bootcamp course so that you can make up your own mind:
1. Basics of Retrieval Systems: This section lays the foundation for understanding how to search and retrieve information from large datasets. You will learn how to prepare text data for retrieval, explore different retrieval models (Boolean, vector space, probabilistic), and understand the concepts of indexing, querying, and ranking. The goal is to equip you with the skills to efficiently find relevant information within massive datasets.
2. Basics of Generation Models: Building on the retrieval concepts, this section introduces the principles of text generation using AI. You will learn about the transformer architecture, which has revolutionised natural language processing, and how attention mechanisms within transformers allow models to focus on the most relevant parts of the input. You will also gain an understanding of data preparation and training techniques for these models.
3. Introduction to RAG: This section introduces the core concepts of Retrieval-Augmented Generation, explaining how it combines the strengths of retrieval and generation models to create more accurate, contextually relevant, and comprehensive responses. You will learn about the basic RAG architecture and understand why it is becoming increasingly important in various AI applications.
4. Working With The OpenAI API: This section focuses on teaching you how to use OpenAI's API for accessing and utilizing their powerful AI models, particularly for text generation and image processing. You will learn about obtaining API keys, setting up your environment, crafting effective prompts, tuning parameters, and understanding the system prompt's influence on the AI's behaviour.
5. RAG with OpenAI Implementation: This section brings together everything you have learned so far to teach you how to build fully functional RAG systems using OpenAI models. You will integrate retrieval and generation components, explore advanced RAG concepts like multi-modal RAG, and use the OpenAI API to create intelligent systems capable of handling complex tasks.
6. Working with Unstructured Data: This section delves into the challenges and techniques for working with unstructured data, which constitutes a vast majority of real-world information. You will learn how to process and extract information from various formats like PDFs, Word documents, PowerPoint presentations, EPUBs, images, and Excel data. This section equips you with the tools to unlock the value hidden within unstructured data.
7. Multimodal RAG: Building on your understanding of RAG, this section introduces the concept of multi-modal RAG, which extends the capabilities of RAG to handle data from multiple modalities, such as text and images. You will learn how to build systems that can integrate different data types to generate richer and more contextually relevant responses.
8. Agentic RAG: This section introduces the concept of agentic RAG, focusing on building AI agents that can interact with users, handle tasks, and make decisions autonomously. The course covers agent state management, workflows, and integrating retrieval and generation into agentic systems. This section represents the cutting edge of RAG development and explores how AI agents can dynamically respond to user requests and complete complex 

File Name:   Systems Thinking in the AI Era, Course 1 Content Source:   https://systemthinkinglab.ai/ Genre / Category: Premium courses Password: NO NEED Original Price:   $99 Language: ENGLISH
 
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File Name:   Acquisition X Course Download Content Source:   https://www.skool.com/tcm-2-8417/about Genre / Category: Exclusive courses Language: ENGLISH Price:   $999/Monthly  
ABOUT THE COURSE:
🚀 Multichannel Acquisition Funnel – The System That Books 20-30 Calls/Month on Autopilot   Used by GTM teams at Clay, Smartlead & Alex Hormozi to generate $10M+ in pipeline—on repeat.   🔹 What You Get Inside? (Worth $2,499+) ✅ LinkedIn & Email Outreach System ✅ Handwritten Outreach Strategy ✅ AI Agents That Do Prospecting for You ✅ A/B Tested Tools & Best Practices ✅ Viral Content & Lead Magnet Systems ✅ Automated Outbound Calls & Webinars ✅ Reddit & Newsletter Growth Hacks ✅ Proven Landing Pages & Copy   🔥 Get 20+ Done-for-you Agents Inside ($1,599+ Value)   ✅ Sales Call Prep ✅ Lead Gen Agent ✅ Referral Agent ✅ Slack AI Assistant ✅ Twitter/Instagram/TikTok Scraper ✅ Google Maps Scraper ✅ Email Classifier & Auto-Responder   And so much more....

File Name:   Practical TypeScript: Foundations to Fluency Content Source:   https://www.epicweb.dev/practical-typescript Genre / Category: Exclusive courses Language: ENGLISH Price:   $120  
ABOUT THE COURSE:
Complete beginners starting with TypeScript. You may not know ANYTHING about programming, or maybe you know a little bit about programming and you're ready to learn TypeScript the right way — building real mental models from the start instead of accumulating confusion.
Developers who "know" TypeScript but don't really know TypeScript. You can annotate variables and write interfaces, but generics make your head spin and you reach for any more than you'd like to admit.
Self-taught devs filling in gaps. You learned enough to get the job done, but you know there are fundamentals you skipped. This fills those gaps — all of them.
"AI Native" developers wanting to make the most of AI. You're comfortable with AI-generated code, but you want to understand it better and be able to correct it when it goes wrong.

File Name:   AI for Beginners: Reasoning Models Content Source:   https://zerotomastery.io/courses/llm-reasoning-models/ Genre / Category: Premium courses Password:  
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ABOUT THE COURSE:
Reasoning models are one of the biggest breakthroughs in AI as they give models the ability to think through things using a "scratchpad" of sorts, introducing something more akin to System 2 thinking.
Reasoning models feel like magic…until they don’t. This course helps you understand what’s happening under the hood, so you know how to use them, why they work, and where this technology is going.
You’ll start with the basics, then quickly move into real model behavior. You’ll practice your skills and explore reasoning models with real, hands-on exercises and practice.
Then you’ll connect the dots to how these systems are trained: reinforcement learning, RLHF, process reward models, the PRM800K dataset, and the impact of the latest scaling law on the future of AI: test-time compute.
You’ll also explore the tricky (but maybe more interesting)part: when reasoning models lie to you and the secrets they keep.

File Name:   Hostinger AI Website Builder Course 2026 Content Source:   https://www.udemy.com/course/hostinger-ai-website-builder-course/ Genre / Category: Premium courses Password:  
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ABOUT THE COURSE:
 
Want to create a professional website quickly and easily without any coding? “Hostinger AI Website Builder Course 2026” is the ultimate beginner-friendly course to help you build stunning websites using Hostinger’s AI tools.
In this course, you’ll learn how to create a complete website from scratch or start with ready-made templates. You’ll discover how to add pages, design sections, customize navigation menus, and create a polished, professional look. You’ll also learn to add text, images, videos, galleries, contact forms, and social media links to make your site engaging and user-friendly.
Beyond website design, you’ll learn to set up e-commerce stores and appointment booking systems, enabling your business to sell products online or manage client appointments efficiently. We’ll cover adding products, managing categories, processing payments, shipping setups, creating booking calendars, sending invoices, and syncing appointments with Google Calendar.
Finally, the course covers publishing your website, connecting a domain, and optimizing for SEO, so your site can attract real visitors and clients. No coding or design experience is required—you’ll learn everything step by step.
By the end of this course, you’ll have a fully functional, professional website ready for your business, service, or online project. Whether you’re a small business owner, freelancer, or entrepreneur, this course will give you the skills to create websites fast, efficiently, and effectively.

File Name:   Automation & Marketing Society Content Source:   https://www.skool.com/automation-marketing-society/about Genre / Category: Premium courses Decryption Key:  
Original Price:   $197 Language: ENGLISH
 
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ABOUT THE COURSE:
🚀 Your Competitors Are Using AI to Steal Your Market Share   While you're figuring out "how Ai works," smart businesses are already dominating with it.   What Makes AMS Different: We're the ONLY community combining AI/automation with complete marketing mastery (SEO, PPC, email, client acquisition & more). Other programs only teach AI - we teach profitable business systems.   Proven Coaches - Greg Morrison, Gregory Ortiz, Chris M. Walker whose students have generated millions   Weekly Live Sessions - Real implementation, downloadable automations, over-shoulder training   Complete Toolkit - AI, Automations, SEO, & all other marketing strategies that actually work   Perfect For: Agency owners scaling operations & business owners implementing cutting-edge strategies

File Name:   Codex - The Practical Guide Content Source:   https://pro.academind.com/p/codex-the-practical-guide Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
Welcome to "Codex – The Practical Guide"!
Codex is growing rapidly, and many developers consider it the best or amongst the best agentic engineering tools you can use these days! But unfortunately, many developers are also not using Codex very efficiently though.
If you've ever felt like you're "using" Codex without really mastering it, this course is for you.
Codex – The Practical Guide is a hands-on, no-nonsense course designed to help you unlock Codex' full potential. You'll learn how to work with Codex efficiently, understand how it thinks, and confidently use the features that separate casual users from power users.
Yes, you can just start prompting, but to get the most out of it, you should probably go beyond basic, inefficient prompts and leverage the full suite of features Codex offers.
Why Master Codex?
Starting from the fundamentals and quickly moving into advanced territory, you'll explore essential concepts like context engineering and core commands before diving deep into powerful features such as different input modes, agent skills, MCPs, the Codex SDK, and more. You'll even learn how to use Codex as a non-coding bot! Every feature is explained clearly: not just what it is, but why it matters and how to use it effectively in real projects.
What's in This Course?
You don't need any special setup or prior experience beyond a Codex installation and subscription. By the end of the course, you'll go from Codex novice to confident, advanced user, able to dramatically boost your productivity and build better software faster.
Codex Fundamentals:
Learn the fundamentals of working with Codex the right way. Understand core commands and context engineering essentials.
 
Advanced Features:
Master advanced, high-impact features like different input modes, agent skills, MCPs, the Codex SDK, and more, including using Codex as a non-coding bot.
 
Plan Mode & Configuration:
Make use of "Plan Mode" and manage configuration & permissions. Learn the WHAT, WHY, and HOW behind each concept. No black boxes.
 
Codex Everywhere:
Use Codex in the CLI, IDE, native desktop app, and in the web (cloud). Build a complete, real-world example project using Codex.

File Name:   Radical Design – A Rebellious Web Design Course Content Source:   https://radicaldesigncourse.com/ Genre / Category: Exclusive courses Language: ENGLISH Price:   $849  
ABOUT THE COURSE:
Design is hard, but it shouldn't be. It's hard because we get in our own way. We're taught to follow the rules, follow the hottest trends, use the latest tools. But design is a playground, and playgrounds are for kids.
I'm here to show you how to play, to recapture the joy of creating, like you did when you were a kid. This course is for anyone pursuing authentic creativity. I made this for you.
Are you an aspiring designer, developer, marketer, or candlestick maker? Maybe you're a burnt-out designer struggling for fresh ideas, or perhaps you have no idea where to start with design? Do you need to find a way to make your sites less boring and more memorable? Well then, this course is for you.
YOU WILL LEARN
You will learn how to design sites and write content that will be remembered.
You will learn ways to be original, unique, and make your designs stand out. Boring sucks.
You will learn how to design quickly and efficiently so you can get on with the other 71 things on your todo list.
You will learn how to develop a unique style of your very own.
You will learn how to be excited about design instead of dreading it.
You will learn the value of humor in your designs.
You will learn how to use a wide range of design tools & apps.
You will learn important fundamentals.
I will hide content behind poorly executed hand shakes.

File Name:   Academind Pro - n8n for AI Workflows and AI Agent Content Source:   https://pro.academind.com/p/n8n-for-ai-workflows-and-ai-agents Genre / Category: Premium courses Password:  
Original Price:   $49 Language: ENGLISH
 
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ABOUT THE COURSE:
n8n and AI — the perfect combination for powerful automations.
Everyone's talking about AI automation, but most tutorials stop at the basics. Connect this to that, add an AI node, done. The result? Fragile workflows that break the moment something unexpected happens.
 
This course takes a different approach. We start with the core concepts of n8n — triggers, nodes, data flow, error handling — and build a solid foundation before adding AI into the mix. Once you understand how workflows actually work, integrating AI becomes straightforward and powerful.
 
By the end, you won't just have a collection of workflows. You'll have the skills to design and build your own automation systems from scratch.
 
What You'll Build
We believe in learning by doing. Throughout the course, you'll build real-world systems:
 
AI Email Handlers
Automatically classify incoming emails and draft intelligent responses based on content and context.
 
Content Pipelines
Generate blog posts, social media content, and marketing copy — then publish across platforms automatically.
 
Image Generation
Integrate AI image generation into your workflows for thumbnails, graphics, and visual content.
 
Data Processors
Handle files, binary data, and force AI to output clean, structured JSON for downstream systems.
 
Go Beyond Basic Automation
Once you have the basics down, we unlock the true power of modern AI with AI Agents and RAG (Retrieval-Augmented Generation).
 
AI Agents
Build systems that don't just respond — they act. Your agents will:
Use tools like calculators, APIs, and web browsers
Search the live internet for current information
Remember context across conversations
Make logic-based decisions autonomously
RAG Systems
The "Holy Grail" of modern AI apps. You'll learn to:
 
Store your data in Vector Databases
Retrieve relevant information intelligently
Give AI knowledge it wasn't trained on
Build smart support systems from your docs

File Name:   Async Expert Content Source:   https://www.updatecourses.net/async-expert Genre / Category: Premium courses Password:  
Original Price:   €429 Language: ENGLISH
 
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ABOUT THE COURSE:
Explore the world of asynchronous programming and concurrency in .NET with our Async Expert course. Over ten weeks, we will introduce you to both the fundamentals and advanced techniques, such as async-await and concurrency collections. Our comprehensive approach includes homework to verify your knowledge and exclusive content from experts like Marc Gravel, Daniel Marbach, and Steve Cleary.
Additionally, you can join our community platform, where you will be able to discuss with both mentors and other course participants. Join us and elevate your .NET skills to a new level!

File Name:   Python for Beginners Content Source:   https://zerotomastery.io/courses/python-basics/ Genre / Category: Premium courses Password:  
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ABOUT THE COURSE:
In this course you’ll go from “what is Python?” to writing real code you understand. Set up your workflow, learn the rules that trip beginners up, and practice the essentials, so you can read, write, and debug Python without the guesswork.
You’ll start with the big picture...what programming is, why Python is so popular, and how to actually run Python code using an interpreter. Then we get practical: data types, numbers, variables, and the rules behind expressions, statements, and operator precedence.
From there you’ll level up your everyday Python skills with strings (formatting, indexing, escape sequences), type conversion, built-in functions, and booleans. Plus all along the way you’ll reinforce what you learn with quick exercises so that it sticks.
By the end, you'll have fallen in love with Python and be able to use your new skills to start doing and building awesome things!
 Write and run your first Python programs  Understand Python data types (without the confusion)  Use variables, expressions, and statements correctly  Work confidently with numbers and math helpers  Master strings: formatting, indexing, and escapes  Handle type conversions like a pro  Apply operator precedence (and stop getting weird results)  Build beginner-friendly logic with booleans

File Name:   ByteByteGo - Learn by Doing. Become an AI Engineer. Content Source:   https://bytebyteai.com/ Genre / Category: Coding Courses Language: ENGLISH Price:   $2,999

File Name:   AI Engineering Bootcamp: Building AI Applications (LangChain, LLM APIs + more) Content Source:   https://zerotomastery.io/courses/ai-application-development/ Genre / Category: Coding Courses Language: ENGLISH Price:   $199  
ABOUT THE COURSE:
This course is your hands-on path to becoming a Generative AI engineer...someone who doesn’t just use AI, but builds with it.
You’ll start by leveling up your Python skills, mastering how to structure modular code, handle APIs, and manipulate data. Then, you’ll dive deep into the world of large language models (LLMs)—how they work, how they’re trained, and how to talk to them effectively through advanced prompt engineering.
From there, it’s all about application. You’ll learn how to build real-world AI-powered apps using the OpenAI and Gemini APIs—working with chat, image, and audio features. You’ll go even further by learning frameworks like LangChain for chaining prompts and building agents, and LangGraph for orchestrating stateful, multi-step workflows. You’ll give your apps memory using embeddings and vector databases, and learn to debug and scale production-ready systems with LangSmith.
And it’s not just theory. Throughout the course, you’ll build chatbots, intelligent image tools, search-driven Q&A systems, and more. The final capstone brings everything together as you build a research agent that uses retrieval, tools, and reasoning to generate high-quality summaries of real-world data.
This is how you go from experimenting with AI… to engineering it.
What you'll learn
 Use OpenAI & Gemini APIs to build real-world AI applications  Craft effective prompts using proven engineering techniques  Build chatbots, voice apps, and image generation tools  Use LangChain to create agents that use memory and tools  Work with embeddings & RAG for smarter search and Q&A  Build multi-step agents with LangGraph and LangSmith  Analyze, debug, and improve LLM-powered apps  Build a full-featured AI Research Assistant from scratch

File Name:   AI Voice Agents with AWS Content Source:   https://zerotomastery.io/courses/ai-voice-agents-with-aws/ Genre / Category: Coding Courses Language: ENGLISH Price:   $99  
ABOUT THE COURSE:
What if you could build a voice agent that feels like magic? One that listens and responds in real-time, is interruptible & smooth, and actually useful?
This course teaches you how to create that exact experience.
Using AWS Bedrock's Nova Sonic model and Python's asyncio library, you’ll build a fully functional, real-time voice assistant. You’ll stream audio in both directions, manage low-latency event flows, and integrate tool calls that let the agent interact with real data. Whether you're aiming to work in AI, backend development, or cloud-based applications, this course gives you the hands-on skills needed to prototype smart voice systems from scratch.
You’ll leave with a working agent...and a deep understanding of how it all fits together!

File Name:   AI Evals For Engineers & PMs Content Source:   https://maven.com/parlance-labs/evals Genre / Category: Exclusive courses Language: ENGLISH Price:   $5,000  
About The Course:
Learn proven approaches for quickly improving AI applications. Build AI that works better than the competition, regardless of the use-case.
Eliminate the guesswork of building AI applications with data-driven approaches.
All students in this course get:
 Lifetime access to all materials and recordings!
 10 months of unlimited access to our new AI Eval Assistant (more info towards bottom of this page).
9+ hours of office hours to maximize the value of live interaction.
Lifetime Access to a Discord community with 1k+ students and instructors.
️: Unlimited retake flexibility (Oct 2025 Cohort Only): Join future cohorts as many times as you would like.
This is a flipped classroom setting. All lectures are professionally edited and recorded, with an emphasis on live office hours and student interaction.
Do you catch yourself asking any of the following questions while building AI applications?
1. How do I test applications when the outputs are stochastic and require subjective judgements?
2. If I change the prompt, how do I know I’m not breaking something else?
3. Where should I focus my engineering efforts? Do I need to test everything?
4. What if I have no data or customers, where do I start?
5. What metrics should I track? What tools should I use? Which models are best?
6. Can I automate testing and evaluation? If so, how do I trust it?
If you aren’t sure about the answers to these questions, this course is for you.
This is a hands-on course for engineers and technical PMs. Ideal for those who are comfortable coding or vibe coding.
—
WHAT TO EXPECT
This course will provide you with hands-on experience. Get ready to sweat through exercises, code and data! We will meet two times a week for four weeks, with generous office hours (read below for course schedule).
We will also hold office hours and host Discord community where you can communicate with us and each other. In return, you will be rewarded with skills that will set you apart from the competition by a wide margin. (see testimonials below). All sessions will be recorded and available to students asynchronously.
—
COURSE CONTENT
Lesson 1: Fundamentals & Lifecycle LLM Application Evaluation
– Why evaluation matters for LLM applications – business impact and risk mitigation
– Challenges unique to evaluating LLM outputs – common failure modes and context-dependence
– The lifecycle approach from development to production
– Basic instrumentation and observability for tracking system behavior
– Introduction to error analysis and methods for categorizing failures
Lesson 2: Systematic Error Analysis
– Bootstrap data through effective synthetic data generation
– Annotation strategies and quantitative analysis of qualitative data
– Translating error findings into actionable improvements
– Avoiding common pitfalls in the analysis process
– Practical exercise: Building and iterating on an error tracking system
Lesson 3: Implementing Effective Evaluations
– Defining metrics using code-based and LLM-judge approaches
– Techniques for evaluating individual outputs and overall system performance
– Organizing datasets with proper structure for inputs and reference data
– Practical exercise: Building an automated evaluation pipeline
Lesson 4: Collaborative Evaluation Practices
– Designing efficient team-based evaluation workflows
– Statistical methods for measuring inter-annotator agreement
– Techniques for building consensus on evaluation criteria
– Practical exercise: Collaborative alignment in breakout groups
Lesson 5: Architecture-Specific Evaluation Strategies
– Evaluating RAG systems for retrieval relevance and factual accuracy
– Testing multi-step pipelines to identify error propagation
– Assessing appropriate tool use and multi-turn conversation quality
– Multi-modal evaluation for text, image, and audio interactions
– Practical exercise: Creating targeted test suites for different architectures
Lesson 6: Production Monitoring & Continuous Evaluation
– Implementing traces, spans, and session tracking for observability
– Setting up automated evaluation gates in CI/CD pipelines
– Methods for consistent comparison across experiments
– Implementing safety and quality control guardrails
– Practical exercise: Designing an effective monitoring dashboard
Lesson 7: Efficient Continuous Human Review Systems
– Strategic sampling approaches for maximizing review impact
– Optimizing interface design for reviewer productivity
– Practical exercise: Implementing a continuous feedback collection system
Lesson 8: Cost Optimization
– Quantifying value versus expenditure in LLM applications
– Intelligent model routing based on query complexity
– Practical exercise: Optimizing a real-world application for cost efficiency
What you’ll get out of this course
Acquire the best tools for finding, diagnosing, and prioritizing AI errors.
We’ve tried all of them so you don’t have to.
Learn how to bootstrap with synthetic data for testing before you have users
And how to best leverage data when you do have users.
Create a data flywheel for your applications that guarantees your AI will improve over time.
Data flywheels ensure you have examples to draw from for prompts, tests, and fine-tuning.
Automate parts of your AI evaluation with approaches that allow you to actually trust and rely on them. How can you really trust LLM-as-a-judge? How should you design them? We will show you how. We will also show you how to refine prompts, generate metadata, and other tasks with the assistance of AI.
Ensure your AI is aligned to your preferences, tastes and judgement. We will show you approaches to discover all the ways AI is not performing
Avoid common mistakes we’ve seen across 35+ AI implementations. There are an infinite number of things you can try, tests you can write, and data you can look at. We will show you a data-driven process that helps you prioritize the most important problems so you can avoid wasting time and money.
Hands-On Exercises, Examples and Code We will provide end-to-end exercises, examples and code to make sure you come away with the skills you need. We will NOT just throw a bunch of slides at you!
Personalized Instruction
Generous office hours ensures students can ask questions about their specific issues and interests.
WHAT INCLUDES
Lifetime Access to All Recordings & Materials
Revisit the materials and lectures anytime. Recordings and slides are made available to all students.
Unlimited Access To Our AI Evals Assistant For 10 Months AI assistant powered by everything we’ve ever said about evals: course material, papers, blogs, talks, etc. Exclusive to students only.
Lifetime Access To Discord Community
Private discord for questions, job leads, and ongoing support from the community (over 1000+ students and growing).
9+ Office Hour Q&As Open office hours for questions and personalized feedback.
150+ Page Course Reader (Draft of Our O’Reilly Book)
We provide a comprehensive course reader with detailed notes to serve as a future reference on evals
4 Homework Assignments With Solutions & Walkthroughs Optional coding assignments & walkthrough videos so you can practice every concept.
Professionally Edited Lectures (Unique To This Course)
High production quality lectures, edited & organized by chapters (with notes) to save you time. This is the only course on Maven like this.
Certificate of Completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

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ABOUT THE COURSE:
The most sold and acclaimed Wi-Fi hacking course on the internet is back — fully updated for 2025 with the latest tools, exploits, and wireless security techniques. This new edition pushes beyond the fundamentals, delivering the most complete, hands-on wireless security training ever released.
 
Through intensive labs and real-world attack simulations, participants will master every phase of wireless exploitation — from reconnaissance and packet capture to advanced protocol attacks and post-exploitation tactics. Updated to reflect the newest vulnerabilities and countermeasures in WPA3, WPA2, PMKID, KRACK, and modern WPS implementations, the course also covers high-impact DoS strategies, frequency hopping evasion, and custom script-based jamming.
 
With cutting-edge tooling like Aircrack-ng suite, Bettercap, Wifite2, Wifiphisher, HackRF, Airgeddon, Wi-Fi Radar, and bespoke Python attack scripts, learners will execute hands-on exploits including handshake cracking, Evil Twin setups, password brute forcing, and targeted spectrum interference.
 
More than just an attack playbook, this edition teaches modern defense strategies — giving penetration testers, SOC teams, and red team operators the ability to both compromise and harden wireless infrastructures against 2025-level threats.

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ABOUT THE COURSE:
With over 50 videos with a runtime of over 5 hours, quizzes to test your comprehension and a dedicated, cloud-hosted lab, Katie takes you from a simple introduction of APIs and guides you expertly through the methodology. You’re even guided to your first API bug!
What You’ll Learn
This course is a comprehensive, practical journey covering every stage of the API hacking process, from recon to report. We’ll leave no stone unturned as we explore:
API Fundamentals: Understand the different types of APIs you’ll encounter in the wild like REST, GraphQL, and gRPC.
The Hacker’s Toolkit: Get familiar with the essential API-specific hacking tools that will become your new best friends.
Finding Your Target: Learn powerful techniques for discovering hidden APIs and enumerating their endpoints.
A-to-Z Vulnerabilities: Master every major API security vulnerability, from Broken Object Level Authorization (BOLA) and Mass Assignment to Injection flaws, as well as common web vulnerabilities that affect APIs.
A Proven Methodology: Adopt a step-by-step, repeatable methodology for testing any API target effectively and efficiently.
Hands-On Hacking: Put theory into practice with dedicated exercises designed to build your skills.