AI for Beginners: Learn AI Tools, Prompt Engineering, Machine Learning, NLP, AI Agents

NO CODING NEEDED. MOST COMPREHENSIVE AI AGENTS & AI AUTOMATION COURSE FOR ALL SKILL LEVELS USING N8N. WE GO OVER HOW TO BUILD AI AGENTS & AI AUTOMATIONS EITHER FOR YOURSELF OR FOR YOUR CLIENTS.WE HELP BEGINNERS AUTOMATE ANYTHING WITH AI. AI is advancing at a rapid rate, don't get left behind. Learn how to implement AI in your personal life or for your business. This is a once-in-a-lifetime opportunity to get ahead of AI and learn how to build useful AI Agents and AI Automations to take your skills to the next level. We cover how to use AI beyond ChatGPT, and build real, working AI Agents and automations. This Complete AI Agents Course is the most complete AI Agents & AI Automation course on the market, with over 7 hours of course content covering AI Agent basics, an n8n tutorial, building AI Agents & Automations for businesses, trading stocks and crypto using AI Agents, sports betting with AI Agents and getting new business ideas from AI Agents. What You'll Learn in This Course: AI Agents & AI Automations Basics: We cover what AI Agents are and when to use them Complete n8n Tutorial : Learn how to use n8n, a no-code tool for AI Agents & AI Automation Building AI Agents for Businesses - Learn how to build real, working AI Agents for businesses in any industry Building AI Agents for Trading (Stocks & Crypto): Learn how to build AI Agents for trading crypto, stocks and sports betting Real-World Application: We go over real world applications and use cases when building AI Agents, for both professional and personal use cases. By the end of this complete course, you'll have the knowledge to build real, working AI Agents and AI Automations either for your own business or for your clients.

This course is designed to help students understand React deeply and apply it confidently in real-world projects. Through years of teaching and mentoring, I’ve noticed that many learners struggle with React because they jump between tutorials without understanding the fundamentals or how everything connects in a real application. In this course, I solve that problem by teaching React step by step, starting from the basics and gradually moving toward advanced concepts. Every topic is explained clearly, then applied immediately in practical projects. I focus on best practices, clean code, and real development workflows, so students don’t just learn React — they learn how to think like React developers. By the end of the course, students will have built three complete, production-style applications and will feel confident creating and deploying their own React projects.

SaaS explainer videos are everywhere, but many designers struggle when starting from a blank timeline in After Effects. Over the years, I’ve worked on real SaaS presentation and explainer projects where clarity, structure, and intentional motion were more important than flashy effects. In this course, I guide you step by step through a proven workflow used in real client projects. You’ll learn how to turn a script into a visual storyboard, prepare UI designs from Figma, organize complex scenes, and animate clean, modern SaaS presentations in After Effects. Instead of guessing what to animate next, you’ll learn how to think about motion design decisions that clearly communicate product value.

This course is a complete, hands-on Git and GitHub masterclass designed to help students master version control from the ground up. Through years of working with Git in real-world projects and helping learners overcome common Git frustrations—such as merge conflicts, broken histories, and collaboration issues—I’ve designed this course to be clear, structured, and practical. Each concept is explained step by step, followed by real examples and workflows used by professional developers. Whether you are working alone or in a team, you will learn how Git really works, not just commands to memorize. By the end of the course, you will confidently manage repositories, collaborate using GitHub, and maintain a clean, professional project history.

This comprehensive course teaches you how to build any full-stack application using AI tools like Cursor AI, Claude Code, v0, ChatGPT, and Replit. Learn coding basics, front-end and back-end development, database integration, debugging, and deployment. Perfect for beginners and anyone looking to leverage AI to build real web and mobile apps quickly and efficiently.

This course covers the entire process of designing and implementing generative AI services centered on LangChain 1.0 and LangGraph through step-by-step hands-on practice. Beyond simple LLM calls, you'll directly implement operational AI system architectures that include agent-based architecture, state management, memory, streaming, middleware, and Human-in-the-Loop. Through hands-on practice with document/PDF/web data-based RAG systems, SQL Agent (Chinook DB), tool-calling-based Agents, Supervisor pattern multi-agents, and state machine-based workflows using LangGraph Graph API, you'll build reusable agent pipelines that can be immediately applied in real-world scenarios. Additionally, through structured output (Pydantic-based), agent middleware (Summarization, HITL, Retry, PII protection), and token/step-by-step streaming, you'll complete generative AI applications with the stability, scalability, and controllability required in actual services. 👉 For those who want to accurately understand the internal structure and execution flow of LangChain/LangGraph 👉 For those who want to implement RAG·Agent as a real service structure, not just a "demo" 👉 This is the optimal course for those who need a realistic practical roadmap covering state-based agents, SQL·document automation, and multi-agent orchestration.

Currently, Android development can be done using both Java and Kotlin. You can develop the same Android applications regardless of which language you choose. This course covers most aspects of Android application development, from basics to advanced topics, and all code is written using Kotlin starting from the fundamentals. Additionally, it utilizes Google's latest UI library, Material 3. This course involves completing three projects throughout the entire Android curriculum. By working on these projects, you can master advanced techniques actually used in the industry, such as Hilt, Retrofit, Room Database, and MVVM. Furthermore, you can increase productivity using AI by performing "vibe coding" with Gemini within the Android development tools. Soft Campus will always strive to provide the most up-to-date lectures.

This is a comprehensive deep learning project course that teaches the latest deep learning techniques, GAN, BERT, RNN, and CNN, while creating various useful projects based on Python and TensorFlow 2 along with theories.

What to Expect from This Course Welcome to LangGraph in Action, your ultimate guide to mastering the design and deployment of advanced AI agents using LangGraph. In this course, you’ll explore the fundamentals of building modular, scalable, and production-ready agents, all with a hands-on approach. From understanding the basics of LangGraph’s state-based design to creating a full-stack application, you’ll gain the skills needed to bring AI agents to life. Course Highlights State-Based Design: Dive into LangGraph’s core philosophy of nodes and edges to create structured, maintainable agents. Memory Management: Explore short-term memory with checkpointers and long-term memory with the Store object to enable agents that adapt and learn. Advanced Workflows: Build human-in-the-loop systems, implement parallel execution, and master multi-agent patterns. Production-Ready Development: Learn asynchronous operations, subgraphs, and create full-stack applications using FastAPI and Docker. By the end of the course, you’ll not only have a strong theoretical understanding but also the practical skills to deploy AI agents anywhere, entirely with open-source tools. Whether you're a developer aiming to stay ahead of the curve or a seasoned engineer looking to expand your AI toolkit, this course equips you for the rapidly growing field of AI agents. With the increasing adoption of AI agents in real-world applications, this course ensures you're prepared to design, build, and deploy advanced systems that solve practical challenges. Let’s start building and shaping the future of AI together!

It’s okay if you don’t know how to code. This course focuses on the experience of using AI to build an ad-revenue-generating Android app from scratch and successfully launching it in just one day. Many people stop at these stages: “I built the app, but how do I monetize it?” “I tried adding ads but got stuck on AdMob, policies, and reviews.” “I gave up right before launch because of the privacy policy.” In this course, we will navigate through every "drop-off point": 👉 Idea → App Creation → Ad Integration → Store Launch Essentials → Actual Deployment. We let the AI do the work, and we make the decisions. The goal is to complete an app with a "functioning revenue structure" within a single day.

How to easily create games with AI and monetize by launching your game on the Toss app with 30 million users

When researching AI or conducting a project using it, basic paper implementation is essential. Let's upgrade our practical skills by implementing an actual paper through this lecture!

LLM and Agent, the fundamental technologies behind AI like ChatGPT. LLM is the technology that has come closest to AGI at this point in time. In this lecture, we explore LLM and Agent technologies from a general public perspective.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

This course is not just about "how to implement" a Transformer, but about dissecting why this architecture was created, what role each module plays, and how the entire model works from the designer's perspective. We deeply analyze the internal computation principles of Self-Attention and Multi-Head Attention, and directly verify through formulas, papers, and implementation code what limitations Positional Encoding, Feed-Forward Networks, and Encoder·Decoder structures were introduced to solve. Starting from Attention, we assemble the entire Transformer structure ourselves, and actually perform training to experience firsthand how the model operates. This course is the most structured and practical roadmap for "anyone who wants to completely understand Transformers."

Analyze over 40 types of economic indicators and stock data with AI to create your own powerful stock price analysis model that predicts not only S&P 500 and QQQ ETF, but also individual stocks!

Innovation in Work Efficiency and Creativity – Agentic AI AI is now evolving beyond simple automation into a new stage where it can judge and execute on its own. Agentic AI is at the center of this change, serving as a core technology that helps businesses and organizations operate smarter. In this course, we have organized the content clearly and simply so you can understand how Agentic AI connects decision-making with execution and how it can be applied to practical work. Discover the essential knowledge for every professional preparing for the future right now.

Create a program using the GPT API and even generate images and videos!

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

Solve the point where 80% get stuck at makeathons. Complete Raspberry Pi · Computer Vision · LLM · 3D Design in 4 weeks! Achieve top rankings at makeathons with a demonstrable smart mirror PoC!

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

You use ChatGPT, but haven't you found it difficult to explain why it gives certain answers? "I know terms like RAG, Agents, and Fine-tuning... but it's hard to explain them accurately." "I get tongue-tied whenever I hear LLM-related terminology." "Conceptual explanations are always vague during AI meetings." This course was created specifically for people like you. This is a theoretical course designed to help you understand LLMs not just as a 'tool,' but as a 'structure.' It doesn't teach you how to use ChatGPT or Gemini; instead, it establishes the foundation so you can explain exactly why they work the way they do.

If you want to create your own AI service without coding, this course is the perfect solution. Using the Dify no-code platform, you can create high-quality AI apps with just your ideas. Instead of complex theory, it's structured around hands-on projects, allowing both AI beginners and working professionals to develop practical skills.

Automate YouTube Shorts creation with AI!! Learn how to automatically create YouTube Shorts using n8n from scratch. We will personally build a workflow that handles everything at once: Text → Image/Music → Video Creation → Uploading. Practice includes distinguishing between test/production modes and tips for saving costs. By the end of the lecture, you will complete 3 automation templates that can be used immediately. We will learn step-by-step, starting from node placement, so you can follow along even without coding knowledge. Join us in automating AI YouTube Shorts production!