THEE DARK

File Name:  
Learn Hugging Face by Building a Custom AI Model
Content Source:  
https://zerotomastery.io/courses/hugging-face-text-classification-project/
Genre / Category:
Premium courses
Password:
Spoiler
 
Price:  
$25/mo.
Language:
ENGLISH
 
 
For Paid User Without URL Shortener:
Download :
GO TO SINGLE CLICK DOWNLOAD PAGE

File Name:  
[Apna College] Prime 2.0 - Complete AI/ML Batch
Content Source:  
https://www.apnacollege.in/course/prime-2
Genre / Category:
Premium Courses
Language:
HINDI
Original Price:  
₹6,880

File Name:  
Option Selling Mastery by Ammu Mahadevan
Content Source:  
N/A
Genre / Category:
Premium courses
Password:

9pXcmC7eILOqfmT [
Price:  
₹11,990
Language:
ENGLISH

File Name:  
AI Mastery: From Beginner to Pro With Powerful AI Tools by Ankit Avasthi Sir
Content Source:  
https://www.baatenbazarki.com/courses/Usage-of-AI-by-Ankit-Avasthi-Sir-69987f82d5c66269a3f812b7
Genre / Category:
Coding Courses
Language:
HINDI
Price:  
₹2,999
 
ABOUT THE COURSE:
AI Mastery: From Beginner to Pro With Powerful AI Tools. The future belongs to those who know how to use AI — and this course is your gateway to mastering it.
 
AI Mastery is a comprehensive, hands-on course designed to take you from zero to confident AI user across 30+ of the most powerful tools available today. Unlike courses that focus on just one platform, this program introduces you to the full AI ecosystem — covering ChatGPT, Claude, Google Gemini, DeepSeek, Grok, Leonardo AI, ElevenLabs, Suno, Canva AI, Cursor, and many more.
 
Action-packed classes led by Ankit Avasthi Sir, you will learn how AI actually works under the hood, how to write powerful prompts, how to generate stunning images, videos, and music, how to build modern websites without writing a single line of code, and how to automate everyday tasks to save time and boost your productivity.
 
Whether you want to grow a YouTube channel, ace your studies, build a freelancing career, or simply stay ahead in a fast-changing world — this course gives you the practical skills and real-world workflows to do it all with AI. By the end of this course, you will be able to confidently operate multiple AI platforms, build AI-powered workflows, and stay adaptable as new tools continue to emerge.

File Name:  
Decoding DevOps – From Basics to Advanced Projects with AI
Content Source:  
https://www.udemy.com/course/decodingdevops/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$99
 
ABOUT THE COURSE:
This course is designed for anyone who wants to start or advance their DevOps career through hands-on, project-based learning.
You’ll begin with Linux, networking, and scripting fundamentals, then progress through key DevOps tools — Git, Jenkins, GitHub Actions, GitLab, Terraform, Ansible, Docker, Kubernetes, and AWS Cloud.
Each step builds on the last with real projects, like setting up the Vprofile application across multiple DevOps stages — from on-premise to AWS to Kubernetes.
The course also introduces AI-powered tools such as GitHub Copilot, Amazon Q, and AI-integrated Helm, helping you automate faster, code smarter, and build intelligent DevOps pipelines.
And now — introducing the brand-new Monitoring & Observability section, where you’ll learn how to collect, visualize, and analyze metrics, logs, and traces using tools like Prometheus, Grafana, Loki, and Alloy.
 
By the end, you’ll master both the core DevOps practices and modern AI-driven workflows, preparing you for real-world cloud and automation environments.
 
Step-by-Step Learning Path
Step 1
Basics of Linux
Server Management in Linux
Vagrant
Basics of Networking
Project: VProfile Project Intro & Setup on VMs
Step 2
YAML & JSON
Bash Scripting (Variables, Conditions, Loops)
Automating Admin Tasks
GitHub Copilot as AI Assistant for Scripting
Step 3
Cloud Computing Intro
IAM, EC2, EBS, ELB
SSM & CloudShell Intro
AWS CLI, S3, CloudWatch, RDS, Auto Scaling, Route53
Project: Lift & Shift Web App to AWS
Re-Architecting Web App on AWS (PaaS & SaaS)
Step 4
Git & GitHub
Maven Build Tools
Jenkins (CI/CD Pipelines, Master/Slave, Nexus, SonarQube)
GitHub Actions (Workflows, Runners, Security Scans)
GitLab CI/CD (Pipelines, Stages, Docker Integration)
Step 5
Python Scripting
Automating OS Tasks
Python for AWS using Amazon Q (AI)
Step 6
Terraform Fundamentals (Variables, Modules, Backends)
Infrastructure as Code for VPC Setup
Step 7 – Monitoring & Observability
Introduction to Monitoring & Observability
Why Monitoring is Essential for DevOps
Setting up Prometheus, Grafana, Loki, and Alloy
Writing Queries with PromQL
Connecting Grafana Data Sources
Building Dashboards and Alerts
Slack Integrations for Real-Time Notifications
Integrating Loki and Alloy for Logs and Metrics
Step 8
Ansible Intro
Ad Hoc Commands, Modules, YAML Basics
Playbooks, Variables, Conditions, Loops
Handlers, Templates, Roles
Ansible for AWS Automation
Step 9
AWS (VPC Deep Dive, Lambda, Logging, Custom Metrics)
Project: CI/CD on AWS – Beanstalk, RDS, CodePipeline
Step 10
Project: Google cloud platform for multi tier app setup
GCP Cloud shell
VPC
Firewalls
VMs
Cloud SQL & Memorystore
Cloud DNS
Managed Instance groups
Secure HTTPS Load Balancers
Certificate Manager
Step 11
Docker (Containers, Images, Volumes, Networks)
Kubernetes (Setup, Objects, Autoscaling, Ingress, ConfigMaps)
Helm with AI, Lens
Project: VProfile Deployment on Kubernetes
Step 12
Project on GitOps

File Name:  
Complete Microservices with Go
Content Source:  
https://www.udemy.com/course/complete-microservices-with-go/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$99
 
ABOUT THE COURSE:
In this project‑driven course, you’ll build the backend microservices system for a Uber‑style ride‑sharing app from the ground up—using Go, Docker, and Kubernetes.
The course includes an introduction to Advanced Go mini-course, so you can expect the full package if you are new to Go.
 
By the end, you’ll have a fully deployed, horizontally scalable ride‑sharing system that’s ready for real traffic. Plus, you’ll walk away with reusable template for building future distributed projects—accelerating your path to become a lead engineer.
 
The project we'll build is composed of multiple services that are orchestrated with Kubernetes, you have this beautiful UI, where if you click on the map you’ll be able to preview a route to your destination and then by selecting the desired package, request a ride from a pool of available drivers.


This course aims to provide you with the foundational knowledge required to build and understand distributed backend systems, implement industry best practices, and create production-ready microservices architecture that are scalable and maintainable. It is not just a step-by-step tutorial, but a comprehensive learning experience that prepares you for real-world scenarios.
 

File Name:  
OpenClaw: Run Powerful & Autonomous AI Agents Securely
Content Source:  
https://www.udemy.com/course/openclaw-run-powerful-autonomous-ai-agents-securely/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$99
 
ABOUT THE COURSE:
Stop renting AI. Start owning your digital workforce.
You’ve used ChatGPT, Claude, Gemini, maybe also n8n, and you’ve seen AI agents. But have you ever had a true AI Employee that lives on your server, manages your files, codes itself, and pings you on Telegram when the job is done?
Welcome to the OpenClaw Masterclass.
This course is your blueprint for building a fully autonomous, privacy-focused AI ecosystem. Whether you want a local assistant running on your laptop or a 24/7 digital worker on a VPS, OpenClaw is the framework that makes it happen.
We move beyond simple "chat" interfaces. You will learn to deploy OpenClaw, an agent with a Soul, a Heartbeat, and a distinct Identity. It doesn't just answer; it proactively works for you using tools and memory files that you control.
You will learn how to orchestrate LLMs to hear you (Whisper), see your files, execute commands, and even manage other AIs (like Claude Code, OpenCode or Codex) to write software.
What You’ll Get:
Real-World Deployments: Set up OpenClaw locally (Windows/Mac/Linux) or as a remote VPS employee.
The "Soul" Architecture: Deep dive into the configuration files (Soul, Identity, User) that make your agent unique.
Custom Skills: Build agents that can send emails, generate images locally, browse the web, and manage your calendar.
Cost-Saving Strategies: Learn smart model routing, prompt caching, and local model integration to run AI almost for free.
Security Best Practices: Complete guides on firewalls, SSH hardening, and safe skill installation.
What You’ll Learn in This Course:
Foundations: The OpenClaw Ecosystem
Start strong by setting up your command center.
Universal Installation: Master the setup on Linux, macOS, Windows, or Docker.
Onboarding: Configure Telegram, WhatsApp, iMessage or Slack to be your primary interface and control your AI from anywhere in the world.
Hooks & Plugins: Configure Hooks so OpenClaw "remembers" you and proactively notifies you via Telegram when tasks are done.
Designing the AI's Personality (The Core Files)
Don't just build a bot—create a digital being.
The Soul File: Learn to write the DNA of your agent. Define its core purpose, ethical boundaries, and personality traits.
The Identity File: Give your agent a specific persona and tone.
The User File: Teach the agent who you are. Store your preferences, bio, and working style so the AI adapts to you.
The Agent File: The operational brain. Define how the agent processes information and prioritizes tasks.
The Heartbeat: The rhythm that keeps your agent alive. Configure the Heartbeat file to trigger background tasks and autonomy.
Local Power: Privacy, Voice & Vision
Turn your local machine into an AI powerhouse.
File System Mastery: Give OpenClaw the ability to access, organize, and modify your PC files remotely.
Voice Input: Talk to OpenClaw naturally using Whisper and FFmpeg integration.
Local Image Generation: Create custom Tools to trigger ComfyUI workflows directly from your chat.
Agentic Coding: Watch OpenClaw modify its own settings and orchestrate tools like Claude Code or Codex for software development.
Context Management & Cost Optimization
Make your AI smarter while spending less.
Ollama Integration: Run models offline, privately, and for free using your own hardware.
Context Engineering: Master context files and sessions so your agent "remembers" complex projects without hallucinating.
Smart Economics: Implement prompt caching, smart model routing, and "lean init" strategies to drastically reduce API bills.
The VPS Employee: 24/7 Automation & DevOps
Deploy a separate digital employee that works while you sleep.
VPS Deployment: A step-by-step guide to hosting OpenClaw on a Virtual Private Server.
Google Cloud & Email: Automate your inbox and integrate deeply with Google Services.
Deep Research: Enable web fetching and browser automation (via Brave, Playwright & Perplexity) to have your agent scour the internet for you.
Cron Jobs & Cronos: Set up complete automated schedules: Your agent wakes up, does the work, and reports back.
Advanced Security & The Future
Protect your digital asset and stay ahead.
Server Security: Learn essential DevOps skills: Closing ports, configuring firewalls, and securing SSH to keep your agent safe.
MoltBook: Discover the "New Internet for AI Agents" and how to leverage it.
Skill Expansion: Learn the difference between safe and unsafe skill installation methods.
Become the Architect of Your Own AI Force!
By the end of this course, you won't just be using AI... You will be managing a robust, autonomous system that works for you. You will understand how to manipulate the Soul file to change behavior, how to use the Heartbeat to create autonomy, and how to secure your digital employee.

File Name:  
Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R
Content Source:  
https://www.udemy.com/course/machinelearning/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$99
 
ABOUT THE COURSE:
This course has been designed by two AI & Machine Learning experts so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.
 
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
 
This course can be completed by doing either the AWS tutorials, Python tutorials, or R tutorials, or the three of them - AWS, Python & R. Pick the ones you need for your career.
 
This course is fun and exciting, and at the same time, we dive deep into Machine Learning. It is structured the following way:
 
Part 1 - Data Preprocessing: Importing the dataset with pandas, Matrix of Features and Target Vector, Training & Test Sets, Imputing Missing Data, Encoding Categorical Variables, Feature Scaling
Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
Part 4 - Clustering: K-Means, Hierarchical Clustering
Part 5 - Association Rule Learning: Apriori, Eclat
Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP
Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA
Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Part 11 - ML Data Preprocessing with AWS: Data types (Apache Parquet, JSON, CSV), Data Preparation with S3, ETL with AWS Glue, Data Wrangling with AWS Glue DataBrew & SageMaker Data Wrangler, Feature Engineering with SageMaker
Part 12 - ML Model Development with AWS: XGBoost, LightGBM, CatBoost, Ensemble Models, Hyperparameter Tuning Techniques, Building Ensemble Models for Regression & Classification with Amazon SageMaker AI, Natural Language Processing with Amazon Comprehend, Computer Vision with Amazon Rekognition, Text to Speech with Amazon Polly, Speech To Text with Amazon Transcribe, Text Extraction with Amazon Textract, Machine Translation with Amazon Translate
Part 13 - ML Model Deployment with AWS: Methods for Deploying Models in Production, Deployment in Amazon SageMaker AI, Serverless vs. Real-Time vs. Asynchronous Inference, Deployment Endpoints in Amazon SageMaker, SageMaker vs. ECS vs. EKS vs. Lambda Deployment Targets, CloudFormation & Cloud Development Kit (CDK), Elastic Container Registry (ECR), Elastic Container Service (ECS) & Fargate, Building Containers with Amazon ECR, ECS & EKS
Part 14 - ML Workflow Automation (CI/CD Pipelines) with AWS: AWS CodePipeline, AWS CodeBuild, AWS CodeCommit, AWS CodeDeploy, Creating an ML pipeline with Amazon SageMaker Pipelines
Part 15 - ML Solution Monitoring and Maintenance with AWS: Features of Responsible AI, Legal Risks of Generative AI, Tools for Responsible ML, Model/Data Quality and Bias Drift with SageMaker Clarify, Monitoring Models in Production with SageMaker Model Monitor, SageMaker Model Cards, SageMaker Inference Recommender, SageMaker Savings Plans

File Name:  
Cloud CI/CD with GitHub Actions
Content Source:  
https://frontendmasters.com/workshops/github-actions/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$39/Monthly.
 
ABOUT THE COURSE:
Practical Course on GitHub Actions , where you will step by step create a full-fledged cloud CI/CD pipeline and master both basic and advanced automation techniques . The material is adapted for projects in any language and is suitable for both developers and DevOps engineers.
 
What You Will Learn in This Course
The training is built around real scenarios of using GitHub Actions. You will learn the key components of the platform and be able to confidently create, optimize, and secure pipelines of any complexity.
 
Basics of GitHub Actions
Events, workflows, jobs, steps, and runners
YAML syntax and pipeline structure rules
Creating your first working workflow
Advanced CI Techniques
Matrix builds for parallel testing
Caching dependencies to speed up the pipeline
Composite actions and reusable workflows
Connecting cloud providers through OIDC
Security and Debugging
Proper handling of secrets
Environment protection settings and permission restrictions
Debugging and optimization tools
Supply chain security practices
Who the Course is For
The course is designed for developers and DevOps engineers who want to systematically build CI/CD processes based on GitHub Actions. No special experience is required — basic Git and command line skills are sufficient.
 
What the Learning Outcome Will Be
After the course, you will be able to design production-ready pipelines, optimize current processes, and implement a modern approach to automation for any projects - from pet applications to corporate solutions.

File Name:  
The Computer Vision Bootcamp
Content Source:  
https://zerotomastery.io/courses/computer-vision-bootcamp/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$199
 
ABOUT THE COURSE:
Computer vision is a field of artificial intelligence that teaches computers how to interpret and understand images and video. That means instead of just storing visual data, a computer vision system tries to answer questions about what’s in it, like identifying objects, tracking movement, recognizing faces, reading text, or segmenting parts of an image.
In practical terms, computer vision is what powers things like self-driving cars, medical image analysis, facial recognition, quality inspection in manufacturing, image labeling tools, and more.
In short, it helps machines turn pixels into useful information they can act on.
But this course is for learners who want more than just understanding what computer vision is. You’ll dive deep into computer vision models, understand the math that makes them tick, learn how modern computer vision systems are actually built, and even build your own production-ready computer vision applications with AWS.

File Name:  
Azure Bootcamp: Build AI Workflows & Agents with Microsoft Foundry
Content Source:  
https://zerotomastery.io/courses/azure-ai-bootcamp/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$249
 
ABOUT THE COURSE:
AI is quickly becoming a real part of enterprise software.
Not just chatbots. Not just API calls. Real systems that can reason through tasks, use tools, follow workflows, and hand decisions back to humans when it matters.
In this course, you’ll be introduced to the fundamentals of Azure's most powerful AI tool: Microsoft Foundry (formerly Azure AI Studio).
You’ll start with the core ideas behind agents: what makes them different from traditional automation, how they communicate, and how they connect to business systems. Then you’ll set up a complete development environment with Azure AI, the CLI, VS Code, the AI Toolkit, and Python.
From there, you’ll build toward something practical: a human-in-the-loop content pipeline where agents generate and refine work while approval steps, conditions, and regeneration loops keep the process controlled.
By the end, you’ll understand what it actually means to build AI agent workflows for production-style environments.

File Name:  
Code4Startup - Claude Code Mastery: From Zero to Super Hero
Content Source:  
https://code4startup.com/claude_code_mastery/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$197
 
ABOUT THE COURSE:
Immerse Yourself in Practical Learning with Claude Code to confidently progress from basic skills to creating advanced AI workflows. The course will help you automate routine tasks, speed up development, and increase productivity by tens of hours each week.
 
Why This Course is the Best Start for Working with Claude Code
Materials on AI coding are often either too theoretical or overloaded with unsystematic information. In this course, you receive a structured, step-by-step program that covers all aspects of working with Claude Code — from basics to expert techniques.
 
What You Will Master in Practice
Fundamental Principles of Working with Claude Code
You will learn to interact effectively with the tool, understand its logic, and use its strengths to solve real development and automation tasks.
 
Building Advanced AI Workflows
The course will introduce you to techniques that turn Claude Code into a powerful tool for:
 
accelerating the full development cycle;
automating multi-component processes;
professional-level code generation and refactoring;
creating robust and scalable architectures.
Hands-on Practice with Portfolio-Level Projects
Step by step, you will implement projects that you can showcase to an employer or clients. Among them:
 
microservices with scalable logic;
AI-powered data pipelines;
scripts and utilities for automating workflows;
complex integrations with external services.
Step-by-step Roadmap Without Unnecessary Theory
Each module of the course is designed so that you do not waste time on guesswork. You follow a clear trajectory — from learning the tools to creating your own AI solutions, which significantly speed up your work and increase efficiency.

File Name:  
The 30 Day AI Apprenticeship
Content Source:  
https://maven.com/ryanturnercom/the-30-day-ai-challenge
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$695
 
ABOUT THE COURSE:
AI won't replace you.
But someone highly skilled at using AI will.
 
This course builds the skills that work with any tool, now and in the future.
 
Right now, most professionals treat AI like a novelty: vague prompts, inconsistent output, and endless rewrites. The result is either low-quality work, or so much tweaking that any time savings disappear.
 
The people pulling ahead aren’t using secret tools. They’ve learned a simple truth:
 
The “A” in AI stands for artificial. The quality of the output is directly tied to the real intelligence of the input.
 
Over 30 days, you’ll develop practical AI fluency through short daily exercises and live coaching. Proficient AI operators consistently save 6–10 hours per week through increased skill and repeatable processes.
 
Enough to reclaim your Fridays if you want. More importantly, you’ll build habits that compound, so your speed and leverage continue to increase long after the course ends.

File Name:  
Code With Antonio - Build and Deploy an AI Automation SaaS
Content Source:  
https://www.codewithantonio.com/workshops/build-and-deploy-an-ai-automation-saas
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
N/A
 
ABOUT THE COURSE:
You'll learn how to create a visual drag-and-drop canvas for building workflows, integrate multiple triggers and AI providers, handle background job execution, and build a full SaaS business layer with authentication, subscriptions, and paywalls. We'll also cover error tracking with AI monitoring and a professional Git workflow with AI-powered code reviews.

File Name:  
AI Engineering Fundamentals
Content Source:  
https://frontendmasters.com/workshops/ai-engineering/
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
$390
 
ABOUT THE COURSE:
Participate in a two-day workshop and learn AI Engineering as an independent discipline. This course offers you a complete immersion—you will learn not only about working with LLM APIs but also about creating, evaluating, and improving systems based on artificial intelligence. Starting with a canvas tool for creating diagrams, you will gradually turn it into an intelligent design tool with a chat interface. We will create an agent and evaluation structures (evals) to step by step improve the system's quality using context engineering, RAG, and other methods. You will gain practical experience in all key areas that will be in demand in the AI engineers' market in 2026.
Workshop Goals and Objectives
In this workshop, you will learn to:
Differentiate between AI and ML engineering and understand why evals are becoming the new standard for testing.
Create stateful chat agents on Cloudflare Workers using the Agents SDK.
Develop benchmark datasets and eval pipelines to identify regressions and improve metrics.
Master context engineering, accurately shaping input data at the inference stage.
Implement safe code execution and utilize few-shot examples for effective tool search.
Apply RAG with Cloudflare Vectorize for working with domain-specific knowledge.
Create React chat interfaces with token streaming and generative UI support.
Extend the basic agent loop, using Observe–Predict–Update, multi-agent interactions, and voting.
Gather user corrections for evals and build a feedback loop for improving the agent.

File Name:  
Automate Dev with Self-Testing AI Agents
Content Source:  
https://frontendmasters.com/workshops/agentic-playwright/
Genre / Category:
Coding Courses
Language:
ENGLISH
Original Price:  
$399
 
ABOUT THE COURSE:
The course "Automate Dev with Self-Testing AI Agents" is dedicated to creating a reliable development process using AI agents that not only make changes to the code but are also capable of checking the results of their work. While modern AI-based coding tools have high speed, they cannot see the actual behavior of the interface after changes — this course addresses exactly this gap.
 
Working with Playwright
You will learn to use Playwright as a verification and observability layer that allows you to check UI behavior, identify regressions, and form reliable artifacts from a running application. As part of the course, you will create a full-fledged verification harness for agents: deterministic tests with embedded acceptance criteria, a proof pipeline (traces, screenshots, logs, DOM snapshots), and a secure tool for agent interaction with the UI with clear boundaries and control.
 
Practical Focus
The course is practice-oriented: you will explore how to ensure test reproducibility, quickly diagnose failures using structured reports, and integrate all these processes into CI with clear artifacts. The approach is independent of a specific model or editor and is built around Node.js and TypeScript.
 
Course Outcomes
The result will be a ready verification infrastructure that makes UI changes verifiable, explainable, and reliable — both for engineers and AI agents.

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:  
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:  
Build Side Projects With 500k+ Users: Shipping & Growing
Content Source:  
https://www.jointaro.com/course/build-side-projects-with-500k-users-shipping-and-growing/
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
N/A

File Name:  
Machine Learning with Hugging Face Bootcamp: Zero to Mastery
Content Source:  
https://zerotomastery.io/courses/machine-learning-with-hugging-face/
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
$399

File Name:  
ByteSizeGo - The Art of Command Line Interfaces
Content Source:  
https://www.bytesizego.com/courses/art-of-cli-golang
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
$99

File Name:  
Build an AI Agent from Scratch, v2
Content Source:  
https://frontendmasters.com/workshops/ai-agents-v2/
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
$39/Monthly

File Name:  
Apna College - Prime: Complete AI/ML Batch | Job Ready in 4 Months!
Content Source:  
https://www.apnacollege.in/course/prime-ai
Genre / Category:
Exclusive courses
Language:
HINDI
Price:  
₹6,680

File Name:  
Luna Templates - Design Freedom On Shopify
Content Source:  
https://lunatemplates.co/products/design-freedom-shopify-course-for-designers
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
$2,797

File Name:  
ByteSizeGo - The Ultimate Guide to Debugging With Go
Content Source:  
https://www.bytesizego.com/courses/the-ultimate-guide-to-debugging-with-go
Genre / Category:
Coding Courses
Language:
ENGLISH
Price:  
$99