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    Building Basic Ai Agents And Custom Gpts

    Posted By: ELK1nG
    Building Basic Ai Agents And Custom Gpts

    Building Basic Ai Agents And Custom Gpts
    Published 7/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 7.62 GB | Duration: 12h 11m

    Learn to Build Simple AI Agents and Customize GPTs for Real-World Tasks

    What you'll learn

    Master prompt design strategies tailored to different large language models (LLMs) like GPT-4, Claude, and Gemini

    Understand how prompt engineering is evolving into autonomous, goal-driven AI agent design

    The evolution of prompt engineering into agent-based AI systems

    Building basic AI agents to perform automated tasks using natural language

    Creating and customizing GPTs for specialized workflows and industries

    Requirements

    No prior experience with AI required

    Description

    In today’s AI-first world, mastering Generative AI, Custom GPTs, and intelligent agents is more than a skill—it's essential digital fluency. This hands-on course is built for developers, creators, educators, and business professionalsready to move beyond prompting and start building AI systems that think, plan, and assist.You’ll learn how to design and deploy AI agents using OpenAI’s GPT Builder, automate tasks, and build customized GPT-4-powered assistants tailored to your goals—whether you're writing, researching, teaching, or scaling a business. What You’ll LearnHow LLMs like GPT-4, Claude, and Gemini workPrompt engineering: zero-shot, few-shot, and context-rich techniquesDesign logic-based AI workflows using tools, memory, and step-based planningBuild and deploy Custom GPTs with OpenAI’s GPT BuilderUse agents for automation, ideation, support, content creation, and analysisBest practices for ethical AI design and avoiding common pitfallsCompare GPTs vs other proprietary and open-source models Who This Course Is ForDevelopers and no-code builders creating real AI toolsMarketers, creators, and consultants using AI agents in daily workEducators building AI-powered learning assistantsBusiness pros and entrepreneurs automating tasks with GPTsAnyone curious about hands-on Generative AI development What’s IncludedReady-to-use prompt templates and agent blueprintsReal-world agent demos: content writers, support bots, internal toolsFull walkthroughs of GPT Builder features and limitationsLifetime access and regular updates as AI tools evolveCertificate of completion to showcase your AI skills Start Building NowThis is not just another theory course. You’ll walk away with your first deployed Custom GPT agent—plus the skills to keep growing as Generative AI transforms the future of work.Join our course today to learn how  to start building the future with AI.

    Overview

    Section 1: Getting Started with AI Agents and Custom GPTs

    Lecture 1 What Are Large Language Models (LLMs)?

    Lecture 2 The Role of Prompts in AI Behavior

    Lecture 3 From Prompting to Agent Design: A Conceptual Shift

    Lecture 4 How to Study on Udemy

    Lecture 5 Get better educational experience with Udemy's AI Assistant

    Section 2: Introduction to AI Interaction

    Lecture 6 What is AI Interaction?

    Lecture 7 Evolution from Prompt Engineering to Agent Engineering

    Lecture 8 Course objectives & what you will learn

    Section 3: Fundamentals of Prompt Engineering

    Lecture 9 Understanding AI models (GPT-4, Claude, Gemini, etc.)

    Lecture 10 The art of prompting for text AI

    Lecture 11 The art of prompting for image generation

    Lecture 12 The art of prompting for video generation

    Lecture 13 Why prompts fail: 7 common mistakes and how to fix them

    Lecture 14 Best practices for crafting high-quality prompts

    Lecture 15 Prompt optimization strategies

    Lecture 16 What makes a response “Good”? Introducing evaluation criteria

    Section 4: Prompt Engineering Frameworks

    Lecture 17 RACE Framework

    Lecture 18 ReAct Framework

    Lecture 19 Tree of Thought Framework

    Lecture 20 Self-Ask Prompting

    Section 5: What are the Most Popular AI Tools?

    Lecture 21 ChatGPT and SEO Strategy Creation

    Lecture 22 ChatGPT and Competitors Monitoring

    Lecture 23 ChatGPT Tool and PPC Campaign Creation

    Lecture 24 ChatGPT for Market Research and Trend Spotting

    Lecture 25 DeepSeek for Mission Research and SWOT Analysis

    Lecture 26 Goal-Oriented Campaigns Creation for SMM with ChatGPT

    Lecture 27 How to Use Chat GPT to Find Content Marketing Instruments

    Lecture 28 Organize Your Email Easier with ChatGPT

    Lecture 29 Writing Product Descriptions using Copilot

    Lecture 30 Prompts for Personal Branding with DALL-E

    Lecture 31 DALL-E Prompts for Presentations and Storyboards

    Lecture 32 How to Refine and Edit Images Using Prompts

    Lecture 33 Building a Sustainable AI Strategy for Long-Term Success

    Section 6: TOP-30 Use Cases of MyGPT

    Lecture 34 The Most Popular Use Cases of MyGPTs

    Lecture 35 Home Chef Helper

    Lecture 36 Sous Chef (Ingredient‑to‑Recipe Finder)

    Lecture 37 Cooking Practice

    Lecture 38 Travel Planner

    Lecture 39 Social Media Content Generator

    Lecture 40 Media Matchmaker

    Lecture 41 Language Learning Assistant

    Lecture 42 Graphic Design Helper

    Lecture 43 Design Template Generator

    Lecture 44 Image Prompt Creator

    Lecture 45 Prompt Engineering Assistant

    Lecture 46 Company Knowledge Base

    Lecture 47 Writing Assistant

    Lecture 48 Spreadsheet - Excel Formula Helper

    Lecture 49 Video Script Generator

    Lecture 50 SEO - Marketing Optimizer

    Lecture 51 Marketing Strategy Assistant

    Lecture 52 Creative Writing Coach

    Lecture 53 Custom Design Canva Assistant

    Lecture 54 Interective Story - Game Generator

    Lecture 55 Data Analyst - Vizualization Assistant

    Lecture 56 Negotiation - Sales Coach

    Lecture 57 Math Tutor

    Lecture 58 Programmimg Tutor - Python

    Lecture 59 Programmimg Tutor - SQL

    Lecture 60 Programmimg Tutor - Web Dev

    Lecture 61 Vulnarabilty Lookup

    Lecture 62 Meeting - Note Summarizer

    Lecture 63 README - Documentation Helper

    Lecture 64 SEO Expert - Web Auditor

    Lecture 65 Explain Like I am 5

    Section 7: Introduction to Agent Engineering

    Lecture 66 What are AI agents? Key components of an AI agent

    Lecture 67 The transition from static prompts to autonomous agents

    Lecture 68 What makes an agent 'Autonomous'?

    Lecture 69 Why agents need instructions, not just information

    Lecture 70 Goal setting in agents: fixed vs dynamic goals

    Section 8: Building AI Agents Step by Step

    Lecture 71 How to create an AI agent for video prompt enhancement

    Lecture 72 How to create MyGPT for AI image generation prompt enhancement

    Lecture 73 How to Create MyGPT for DALL-E Tasks

    Lecture 74 Using APIs and external tools (Chat GPT, Elsa from M1 Project)

    Lecture 75 Using Elsa for Initial Business Insights for ICP Creation

    Lecture 76 AI Agent for Customer Support Systems

    Lecture 77 AI Agent for Booking Appointments

    Section 9: Creating Your AI Agent with Digital First

    Lecture 78 Setting up your workspace

    Lecture 79 Building your Data Safe Room to train the AI

    Lecture 80 Introduction to Canvases - the foundation of your strategy

    Lecture 81 Defining your value proposition and business strategy

    Lecture 82 Canvases for planning and executing marketing strategies

    Lecture 83 Identifying customer personas with AI

    Lecture 84 Using AI for real-time market and competitor research

    Lecture 85 Turning trends into marketing concepts and generating big ideas with AI

    Lecture 86 Crafting marketing briefs with AI support

    Lecture 87 Building campaigns with AI agents

    Lecture 88 Generate all your marketing assets with AI Agents

    Section 10: Browser AI Agents (OpenAI Operator and Manus)

    Lecture 89 How to Create AI Assistants: MyGPTs, Gems, Claude Projects

    Lecture 90 What is Browser AI agent? How OpenAI Operator Works?

    Lecture 91 What is Manus?

    Lecture 92 How to Use Manus on the regular basis?

    Lecture 93 What is n8n: how to create basic AI agents with n8n

    Lecture 94 What is Make: how to create basic AI agents with Make

    Lecture 95 How to create basic AI Agents in Make

    Section 11: AI Ethics and Career Growth with AI

    Lecture 96 AI Ethics, Safety & Best Practices

    Lecture 97 Responsible AI Use - Copyright, Attribution, and Originality

    Lecture 98 Bias and Fairness Using AI

    Lecture 99 Privacy & Security - Handle Sensitive Data Responsibly

    Lecture 100 Quality Control - Fact-Checking AI Outputs

    Lecture 101 AI Regulation Landscape - GDPR Impact & Policy Evolution

    Lecture 102 Avoiding Over-Reliance - Encourage Human Oversight

    Lecture 103 Chapter Career. Unlocking Career Growth with AI in Corporate Jobs

    Lecture 104 Top 100 Ways to Update Your GenAI and ChatGPT Knowledge - 2 July 2025

    Section 12: Getting Started with N8N and AI Agents

    Lecture 105 What N8N Is?

    Lecture 106 N8N Nodes and Chat Functionality

    Section 13: Building AI Agents

    Lecture 107 AI Agent Parameters

    Lecture 108 Agents Nature Explanation

    Lecture 109 Mastering Prompts

    Lecture 110 AI Agent Memory

    Lecture 111 How to Add Memory to AI Agent

    Section 14: Connecting AI to Real-World Applications

    Lecture 112 How to connect Agent to Messengers

    Lecture 113 Connecting the Chat to External Services - Google Calendar

    Lecture 114 Connecting the Chat to External Services - Gmail

    Lecture 115 Adjusting AI Agent to Your Needs

    Lecture 116 Connecting the Chat to External Services - Perplexity AI

    Lecture 117 Sending Emails with AI Agents

    Lecture 118 Intermediary Messages

    Lecture 119 Connecting the Chat to External Services - Google Task

    Lecture 120 Multiple Workflows Creation

    Section 15: Advanced Agent Capabilities

    Lecture 121 Additional Key Concepts for Agents Creation

    Lecture 122 Code Node

    Lecture 123 Multimodal Inputs and Outputs

    Lecture 124 MCP

    Section 16: Final Thoughts & Next Steps

    Lecture 125 Key Concepts Refresher: From Prompts to Agents

    Lecture 126 Agents in everyday life: you’re already using them

    Lecture 127 How to think like an agent designer

    Lecture 128 AI agents and human roles: what do we keep?

    Lecture 129 Career & business opportunities in AI automation

    Lecture 130 Trends in AI

    Lecture 131 What Professions AI Can Change Forever

    Lecture 132 Will AI Take My Job? What Should I Do to Save It?

    Lecture 133 How to Implement AI in Work-Life Balance

    Lecture 134 Facts About AI That You Did Not Know

    Lecture 135 When to use an agent vs. a workflow

    Lecture 136 AI agents vs chatbots: what’s the real difference?

    Lecture 137 Limits of Prompting: What AI Can’t Do (Yet)

    Lecture 138 How to leave a review

    Lecture 139 How to get a certificate

    Beginners curious about AI and large language models like GPT-4, Claude, and Gemini,Developers and tech enthusiasts looking to build simple AI agents and custom GPTs,Content creators, marketers, and freelancers aiming to automate tasks using AI,Product managers and entrepreneurs exploring AI-driven tools for business efficiency,Students seeking applied experience with AI systems,Anyone interested in learning how to turn prompt engineering into practical, real-world AI applications