File Name:	2D Game Physics Programming
Content Source:	https://pikuma.com/courses/game-physics-engine-programming
Genre / Category:	Coding Courses
Language:	ENGLISH
Original Price:	$80

 

ABOUT THE COURSE:

 

File Name:	Coding With AI - Planning to Production
Content Source:	https://www.traversymedia.com/coding-with-ai
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$25

 

ABOUT THE COURSE:

Times are changing. AI is everywhere, and it's reshaping the entire landscape of software development — but a lot of bad practices have come with it. In this course, I share my own AI workflow. It's simple, but it lets you stay the architect of your application and know exactly what's going on feature by feature. You'll learn everything from prototyping and planning to context management, MCPs, Claude Code skills and subagents — all while building a full-stack SaaS app that's actually in production right now.

File Name:	AI Agents Masterclass — A Practical Course on Creating Autonomous AI Agents.
Content Source:	https://nomadcoders.co/ai-agents-masterclass
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$2,000

 

ABOUT THE COURSE:

AI Agents Masterclass from Nomad Coders is an in-depth, hands-on course dedicated to the development of modern AI agents: autonomous systems capable of reasoning, interacting with each other, using tools, and executing real business tasks. The course is structured to guide you on the journey from understanding the principles of how AI agents work to creating complex multi-agent systems applicable in production.

What Makes This Course Special

Focus on Practice, Not Theory

You don't just learn concepts — you create more than 10 full-fledged AI agents, each addressing an applied task: data analysis, information search, content generation, user support, workflow automation.

Current Industry Frameworks

The course covers key tools that AI developers and startups use today:

CrewAI

AutoGen

OpenAI Agents SDK

Google ADK

LangGraph

You will see their strengths, architectural differences, and real application scenarios.

The Mindset of an AI Agent Engineer

A special emphasis is placed on:

designing agent logic;

managing state and memory;

agent-to-agent interaction;

choosing the right architecture for the task;

scaling and supporting agents in real conditions.

What Projects You Will Implement

Throughout the course, you will step by step create agents that:

automatically read and analyze news;

search for job vacancies and select relevant offers;

conduct research and make conclusions;

work as AI assistants and chatbots;

assist with investment analysis;

generate YouTube Shorts and covers;

act as AI tutors and consultants.

Each project is a complete system with code, logic, and a working demonstration.

Who This Course is For

developers who want to enter the field of AI agents;

engineers working with LLM and automation;

entrepreneurs and product managers creating AI products;

specialists who wish to replace manual work with autonomous AI systems.

Level — intermediate: basic programming skills will suffice.

Learning Outcomes

Upon completing the course, you will:

understand how modern AI agents are structured;

know how to choose and apply the appropriate framework;

be able to independently design and implement an agent for a business task;

have a portfolio of real AI projects;

be ready to use AI agents in startups, products, or process automation.

File Name:	Machine Learning in Production
Content Source:	https://edu.kyrylai.com/courses/ml-in-production
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$490

 

ABOUT THE COURSE:

Your journey to becoming a complete ML expert

In just 8 weeks, you’ll transform from being a data scientist focused on modeling to a professional who can handle the entire ML lifecycle. Choose between the live cohort, or the asynchronous course to learn at your own pace.

 

Week 1: Learn to set up and manage Docker, Kubernetes, and CI/CD pipelines.

 

Week 2: Master advanced data storage, processing, versioning, labeling techniques, and Retrieval-Augmented Generation (RAG).

 

Week 3: Structure, run, and optimize experiments to ensure peak model performance.

 

Week 4: Streamline workflows with powerful tools like Dagster, Kubeflow and AirFlow.

 

Week 5-6: Implement, scale, and serve your models using the latest strategies, including handling Large Language Models (LLMs).

 

Week 7: Keep your models performing at their best with robust monitoring and maintenance strategies, including tools and techniques for monitoring LLMs and managing data drift.

 

Week 8: Navigate the complexities of vendor selection and platform integration with a focus on AWS SageMaker, GCP Vertex AI, and the latest trends.

 

Capstone Project Presentation - Apply everything you’ve learned to complete an end-to-end ML project and present it.

File Name:	GOLANG A.I. Masterclass - Build 6 A.I. Projects with GO (Advanced Course)
Content Source:	https://akhilsharmatech.gumroad.com/l/zgxqq
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$250

 

ABOUT THE COURSE:

A 26 hours comprehensive course on building A.I. projects with GO. After you complete these 6 production level projects, you will have the skills to build proper real-world A.I. projects that scale. You already know how killer GO is for building software products, so with this course, take your skills to the next level 😄

Description -

2024 is going to be the year of A.I. and this means if you're an engineer, you NEED to learn how to build A.I. projects. Golang is one of the fastest growing languages and extremely performant so building A.I. projects with GO will make you extremely attractive for new jobs, positions, promotions and salary hikes.

This is the perfect way to upskill yourself - building projects, including them in your portfolio. The best part - I take you through extremely detailed visual planning exercises before we write any code and when we write code, I explain every single line of code so you can use these techniques in your already existing projects too.

Building multiple projects of varying complexities means you're ready to tackle different types of challenges and can use your knowledge in different situations, because you "OWN" that knowledge after you build with it.

Contents -

Build 6 GO projects using A.I -

Golang AI Discord bot (chat with open AI and also Dalle, generate images)

GO Whisper API bot (speech to text conversion)

GO Telegram AI bot (bring AI to telegram)

GO Kubernetes AI assistant (perform any kubernetes task using AI)

GO Terraform AI co pilot (copilot for terraform)

A VERY powerful and comprehensive Terminal AI assistant (a full blown AI assistant in a powerful terminal tool)

 

Value -

26 Hours of detailed content

Extremely detailed planning exercise for each project

Well documented code

Each line of code explained

Important, real world, high value projects that can be turned into monetizable products

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:	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:	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:	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

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:	Vibe Code a Generative AI Finance App with Python and LangChain
Content Source:	https://zerotomastery.io/courses/ai-finance-app/
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$99

File Name:	Design System Course for Figma
Content Source:	https://www.shipwright.design/
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$549

 

Become a solo design system wizard

A video course for product designers. Learn the best ways to build design systems in Figma within the context of your team and manage feature development needs.

File Name:	Full-Stack SaaS Development Course on Cloudflare Workers
Content Source:	https://learn.backpine.com/
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$39

 

Watch Online:

Watch :

Click Here to Watch Online

 

Note: Must Download the course for backup and Other Course's resources.

File Name:	Agentic Jumpstart - Don't Write Code. Direct It.
Content Source:	https://agenticjumpstart.com/
Genre / Category:	Coding Courses
Language:	ENGLISH
Price:	$249