Building Basic Ai Agents And Custom Gpts - Printable Version

+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: Building Basic Ai Agents And Custom Gpts (/Thread-Building-Basic-Ai-Agents-And-Custom-Gpts)

Building Basic Ai Agents And Custom Gpts - AD-TEAM - 09-06-2025

[Image: 4c479d2c4c7c61e94908e55fce0e68a7.jpg]

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

[b]What you'll learn[/b]

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

[b]Requirements[/b]

No prior experience with AI required

[b]Description[/b]

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

[Image: Hb3cy97u_o.jpg]

[To see links please register or login]

[To see links please register or login]

[To see links please register or login]