Category: AI

Artificial Intelligence 2.0: The smartest combination of Double Deep Q-Learning, Policy Gradient, Actor Critic, DDPG

Build, price, and scale a profitable AI creative studio that generates $5K+ campaigns, without a team, hourly rates, or agency overhead.

Build your AI dev foundation with JS & TS — learn the language before you teach the machine.

Master AI and no-code tools to build real products, land better jobs, or launch your startup.

Master the principles of AI Coding. Build foundational skills to stay relevant and excel with the AI coding tools of today and tomorrow.

Master the tactics of Agentic Coding. Scale FAR beyond AI Coding and Vibe Coding with advanced Agentic Engineering so powerful that your codebase runs itself.

AI assisted reversing by integrating LLMs with tools via Model Context Protocol (MCP) to automate & accelerate analysis

Building Intelligent Development Teams with AI Subagents and Context-Aware Workflow

Automate Social Media with N8N: Save hours every week with powerful, real-world automation workflows!

Break into the AI industry with zero coding—learn Dream More’s Cognitive Code Decoding™ method to master AI tools, decod

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included.

5 courses in 1!-Become a 10x React Redux developer with AI agents. Create powerful apps and grow your audience & income!

Learn to make decisions tailored to business constraints, understand when & how to apply AI effectively & build a multi-agent application

Analytics Engineering is the foundation of Data Science and artificial intelligence. This approach represents a dynamic blend of data engineering and analytics, acting as a bridge between these two fields. Analytics engineers are responsible for a significant portion of the data lifecycle: from loading data sources and building data warehouses with corresponding pipelines to integration with business intelligence tools.

Discover AI capabilities to design and develop products and user experiences – without a single line of code.

In this course, you will master a step-by-step process: from asking the right questions to creating powerful data-driven stories that will help you achieve your professional and personal goals.

Buiild AI Agents on AWS with Amazon Bedrock Agents, CrewAI & AWS MCP : [Hands-On] Course to Build 4 Agentic AI Apps

Learn proven methods for quickly improving AI applications. Build AI systems that outperform competitors, regardless of the specific use case.

Using Lovable AI to Build a Production Quality Web App From An Idea Without Coding

AI Agents in Action with N8N: From inbox assistants to website extractors—real projects, real results for Beginners!

Deploy Production-Grade LLMs and Agents on Vercel, AWS, GCP and Azure

Forget about “toy” projects. Here you will learn to build truly working ML systems, bringing value to the business.

From Zero to Python Expert in Hours—Harness AI for Rapid Learning

Build a complete C# automation framework. Learn Selenium WebDriver, GPT for coding, GitHub, and prepare for SDET roles.

The first LLM-native Python course for complete beginners

Learn to get real benefits from LLMs for valuable tasks from experts that build AI for a living.

Understand, build, evaluate, automate, and maintain robust LLM solutions

Everything you need to build apps with AI as a complete beginner.

This course is all about the “how” AND the “why” of RAG. Learn how to build robust Chat with Documents application using advanced Retrieval Augmented Generation (RAG) Techniques and the latest LLMs.

Create AI Chatbot SaaS in Laravel 12: Authentication, Gemini API, RAG Technology, and Subscription Plans for Success

Learn n8n step by step with videos, quizzes & workflows. Earn your official n8n Level 2 Certification Badge.

This is not “just another introductory AI course.” It is a practical deep dive into the skills that set AI engineers apart on real projects. You will perform fine-tuning using QLoRA, a method that drastically reduces resource consumption, and then turn the model into a production service.