Category: Tutorials

Claude Code 101: From Prompt to Product
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 58m | 474 MB
Instructor: Ray Villalobos​

Powerful coding tools are no longer limited to engineers. In this course, you’ll learn how to use Claude Code to build real software without a traditional coding background. You’ll start with essential terminal concepts, then explore how to choose models, use plugins, work with MCP servers, and apply Claude Code to practical development tasks. Along the way, you’ll learn how to guide the tool effectively, avoid common pitfalls, and produce reliable, repeatable results. By the end of this course, you’ll have the skills and confidence to turn ideas into working code using AI‑powered workflows.

Learning objectives

• Explain how Claude Code differs from general‑purpose AI chat tools
• Use terminal commands and navigation techniques confidently in a development workflow
• Write precise prompts and instructions that generate accurate, usable code
• Apply plugins and external tools to extend Claude Code’s functionality
• Use connectors to integrate Claude Code with additional data and services
• Identify and correct common errors in AI‑generated or edited code
• Apply repeatable workflows to turn ideas into working software projects

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Claude AI: The AI Assistant You’ll Actually Use
2026-02-02
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 7.34 GB | Duration: 7h 51m​

Master Claude AI – Top 1 AI Tool in Most Benchmarks for Real-World Business, Problem-Solving, and Coding

What you’ll learn
Claude AI capabilities and main use cases
Claude AI family of models and their differences
What are Claude AI prompts, prompting, prompt engineering, chat prompting, and enterprise prompting
How to structure your prompt for the best Claude AI outcome (prompting formula)
How to use iterative prompting to refine Claude’s responses
How to implement role prompting to get nuanced responses
How to share content with Claude
How to use examples in your prompts for better understanding of task context and output requirements
How to configure your personalized experience of working with Claude
How to format outputs for cleaner, more usable results
How to maximize your usage limits
How to brainstorm ideas and solutions with Claude
What artifacts are and how Claude uses them
How to publish and remix artifacts for different purposes
How to create and manage projects within Claude
How to generate visual content like process flow diagrams with Claude
How to create simple games without any coding involved
How to apply "thinking step-by-step" (chain-of-thought) prompting
How to identify and minimize AI hallucinations
How to summarize long-form content efficiently
How to create marketing campaign emails that land you clients
How to generate educational content
How to conduct competitor research and analysis
How to get feedback on your work from Claude
Understand the AI landscape, what generative AI is, and how it works
Understand the business impact of implementing generative AI
Explore real-world applications of generative AI technology

Requirements
No prior knowledge of AI, generative AI, or programming is required
Access to a computer and stable internet connection
Subscription to Claude AI (free tier plan is available)

Description
Last Update: Feb 2026 – Added new sections: "Hands-Free Mode: Offload the Busywork to Claude" and "Skills: Teaching Claude to Work Your Way" – where we explore Claude’s emerging impressive capabilities to drive your browser and give you some extra breathing room to focus on important things plus look into Claude Skills as a way to turn Claude from a general-purpose assistant into your assistant who already knows how you like things done.Second-to-Last Update: Nov 2025 – Added new sections: "Making Sense of Data, the Easy Way with Claude" and "Playground for Your Ideas – Turning Imagination into Clickable Demos with Claude" -your new AI assistant just got even more helpful! Have Claude test your ideas, dig through your data for insights, and work alongside you on whatever you’re analyzing.Claude AI models top the charts in coding, reasoning, and instruction – beating or matching the best AI models on the planet.Are you a working professional looking for a smarter way to tackle your daily tasks, an entrepreneur balancing too many hats and in need of an efficient assistant, or simply curious about exploring the potential of AI and wondering how it could help you work smarter, not harder?If you said "yes" to any of the above, I created this course for you!My name is Anna, and I’ll be your instructor and mentor for the course. I’m the head of product and lead instructor at FutureVersity – an online learning platform for anyone who wants to learn the skills of the future, today.Course Highlights:6.5+ hours of HD video content, step-by-step tutorials, and activities covering all aspects of Claude AI – from how to talk to Claude, get better answers, refine your work, and beyond.Advanced techniques for solving complex problems with Claude.Lectures on generative AI fundamentals, including an overview of the AI landscape and how AI can impact our lives.Learners community to connect with your course instructor and other learners, ask questions, and receive support.Certificate of completion from the FutureVersity School upon completion of the course (available upon request for those who completed at least 80% of the course).What you should expect after enrolling in the course:We will kick off the course by learning what Claude is capable of, how to communicate with Claude and structure your requests, and how to make Claude work best for you.We’ll go through a series of practical scenarios, such as brainstorming ideas for your next project, drafting marketing emails, summarizing long-form content, creating mermaid diagrams for visual process descriptions, and even creating simple games without technical knowledge – all with Claude as your assistant.We’ll also learn some advanced techniques for solving complex problems with Claude, how to spot incorrect responses from AI, and, most importantly, how to prevent them.For those of you who would like to go deeper into the world of AI, there will be optional lectures to learn more about AI, generative AI technology, and how businesses can benefit from integrating generative AI into their products or services.And here’s the exciting part: you don’t need to be a tech wizard or AI expert to use Claude AI. Its intuitive interface makes it simple for anyone to get started and see results in minutes, without prior experience in AI, generative AI, or programming. For those who are more advanced in working with AI assistants, feel free to explore the curriculum and choose the topics that interest you the most.And as always, there is a 30-day money-back guarantee, so there’s no reason to hesitate. Enroll now, and I’ll see you inside!

Who this course is for:
Business Professionals looking to enhance productivity and streamline information processes, Executives and managers seeking to understand AI capabilities without technical complexity, Professionals who need to analyze documents, research, or generate reports efficiently, Decision-makers evaluating AI implementation for their teams or organizations, Writers needing assistance with drafting, editing, and refining content, Content strategists looking to generate and organize ideas more effectively, Bloggers and newsletter authors seeking to streamline their content creation process, Marketers developing campaigns, emails, and promotional materials, Researchers requiring help with summarizing long-form content and academic papers, Analysts who need to extract insights from complex documents or datasets, Teachers looking to create educational materials more efficiently, Course creators developing structured learning content, Education technology professionals exploring AI assistance in content development, Academic professionals seeking research assistance and literature review support, Product managers and aspiring product managers looking to stay up-to-date with modern technology trends and implement innovations into their products., Project managers who need to summarize meetings and create action plans, Web designers looking for support in generating and debugging code, building full web apps, and automating development tasks, Presentation designers structuring content for visual formats, Solo entrepreneurs juggling multiple content and communication needs, Small business owners who need to create marketing materials and business documents, Startup founders developing business plans, pitches, and documentation, Hobbyists and tech enthusiasts who want to learn about AI-generated content for personal projects or creative exploration., Career changers considering a career shift into content creation, marketing, or other fields that can benefit from the skills acquired in this course., Students in business, communications, marketing, engineering, and other fields, interested in AI

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Cisco CyberOps Associate 200-201 by ArashDeljoo
Duration: 02:11:37 | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 723 MB
Genre: eLearning | Language: English​

Cyber Security
What you’ll learn
Cybersecurity Understanding
Cloud Computing and Cloud Security Understanding
Access Control Models Understanding
Types of Attacks and Vulnerabilities Understanding
Cryptography and Public Key Infrastructure (PKI) Understanding
Virtual Private Networks (VPNs) Understanding
Security Operations Management Understanding
Intrusion Analysis Understanding
Digital Forensics Understanding
Network Infrastructure Device Telemetry and Analysis Understanding
Endpoint Telemetry and Analysis Understanding
Challenges in the Security Operations Center (SOC) Understanding
The Art of Data and Event Analysis Understanding
Classifying Intrusion Events into Categories Understanding
Threat Hunting Understanding
Requirements
There are no formal prerequisites for the CyberOps Associate certification. In other words, you do not have to pass any other exams or certifications to take the 200-201 CBROPS exam. On the other hand, you must have a good understanding of basic networking and IT concepts. Cisco considers ideal candidates to be those who possess the following: Knowledge of fundamental security concepts . An understanding of security monitoring . An understanding of host-based and network intrusion analysis . An understanding of security policies and procedures related to incident response and digital forensics
Description
The Cisco CyberOps Associate Certification

The Cisco CyberOps Associate certification is one of the industry’s most respected certifications. There are no formal prerequisites for the CyberOps Associate certification.
In other words, you do not have to pass any other exams or certifications to take the 200-201 CBROPS exam. On the other hand, you must have a good understanding of basic networking and IT concepts.
Cisco considers ideal candidates to be those who possess the following:

Knowledge of fundamental security concepts
An understanding of security monitoring
An understanding of host-based and network intrusion analysis
An understanding of security policies and procedures related to incident response and digital forensics

This video uses several key methodologies to help you discover the exam topics on which you need more review, to help you fully understand and remember those details, and to help you prove to yourself that you have retained your knowledge of those topics. This video does not try to help you pass the exam only by memorization; it seeks to help you truly learn and understand the topics.

This Course will Include this topics : ( Will update)

1 Cybersecurity Fundamentals
2 Introduction to Cloud Computing and Cloud Security
3 Access Control Models
4 Types of Attacks and Vulnerabilities
5 Fundamentals of Cryptography and Public Key Infrastructure (PKI)
6 Introduction to Virtual Private Networks (VPNs)
7 Introduction to Security Operations Management
8 Fundamentals of Intrusion Analysis
9 Introduction to Digital Forensics
10 Network Infrastructure Device Telemetry and Analysis
11 Endpoint Telemetry and Analysis
12 Challenges in the Security Operations Center (SOC)
13 The Art of Data and Event Analysis
14 Classifying Intrusion Events into Categories
15 Introduction to Threat Hunting

Who this course is for:
Cisco 200-201 CBROPS exam is best suitable for IT professionals who want to embark into the field of cybersecurity. It can also be taken by novices who know entire network systems and modern security means against cyberattacks.

More Info

Cisco Certified DevNet Associate DEVASC 200-901
English | 2021 | h264, yuv420p, 1280×720 | 44100 Hz, 2channels | Duration: 15h 19min | 25.72 GB​

The Cisco Certified DevNet Associate DEVASC 200-901 Complete Video Course correlates directly to the DEVASC 200-901 exam blueprint, which lays out the skills needed to operate within the current world of infrastructure automation and programmability, while also preparing them for a successful exam experience.

The Cisco Certified DevNet Associate DEVASC 200-901 Complete Video Course is designed to allow people from both a networking and programming background to jump right in. Each of the 31 lessons directly maps to the exam blueprint and covers the core technologies and concepts needed for exam success. In addition, many of the labs and demonstrations will show you simple and practical uses of infrastructure programmability techniques.

Whether you are preparing for the DEVASC 200-901 exam, or simply looking to expand your understanding of concepts and strategies for operating your infrastructure effectively in the ever-changing digital landscape, this course will provide practical tools and techniques to support your career and exam aspirations. Through theory overviews and hands-on demonstrations, Chris Jackson explains both the basics and intricacies of automation and programmability in an easy to understand way.

Topics include:

Module 1: Software Development and Design
Module 2: Python Fundamentals for DEVASC
Module 3: Understanding and Using APIs
Module 4: Application Deployment and Security
Module 5: Network Fundamentals
Module 6: Infrastructure and Automation
Module 7: Developing on Cisco Platforms

About the Instructor

Chris Jackson, CCIEx2 (RS, SEC) #6256, is a Distinguished Architect working in the Cisco Global Strategy Organization. He is also the author of Network Security Auditing (CiscoPress, 2010), CCNA Cloud CLDADM 210-455 Official Cert Guide (CiscoPress, 2016), and Cisco Certified DevNet Associate DEVASC 200-901 Official Cert Guide (CiscoPress, 2020). Chris is focused on DevOps, Security, Automation, Cloud, and helping Cisco and customers better leverage the business transformational aspects these technologies provide. He holds dual CCIEs in security and routing and switching, CISA, CISSP, ITIL v3, seven SANS certifications, and a bachelor’s degree in business administration.

Skill Level
Beginner/Intermediate
Learn How To
Program Cisco infrastructure devices
Implement DevOps automation
Create a more agile and flexible IT environment
Study and prepare for DEVASC exam success
Who Should Take This Course

This course is intended for anyone wanting to achieve the Cisco DevNet Associate certification, or anyone who has IT infrastructure and would like to learn how to use emerging technologies to automate and simplify operations.

Course Requirements
Basic understanding of networking infrastructure equipment
Computer literacy, PC operating system knowledge, and Internet knowledge
Hands-on experience with the Python programming language
Lesson Descriptions

Module 1, "Software Development and Design," introduces key software development methods, like waterfall and agile, and also discusses two common software design patterns MVC and Observer. This module will cover basic Linux BASH usage to make sure that you understand how to find your way around the terminal and the many command line tools you will need to be familiar with. Software version control systems are introduced, as well as how to use the ever-popular git version control platform. This module ends with an introduction to conducting code reviews and understanding of what Test-Driven development is and how to use it to streamline your code writing efforts.

Module 2, "Python Fundamentals for DEVASC," provides an overview of Python from its syntax to working with variables and data types. We will also review program logic through the use of conditionals and loops to control program flow and branching logic. Next, we discuss Object-Oriented Programing and the use of techniques like classes, methods, and inheritance. We then cover the use of Python modules, as well as listing out key modules you might want to use in your programs to extend Pythons capabilities. Then, we explore Python testing with the UnitTest module. Finally, we discuss the various ways you can input data into your Python program, parse the data, and provide error handling in your code.

Module 3, "Understanding and Using APIs," begins with understanding what an API is and the common way APIs are used. Next, we cover the essentials of REST APIs, including URL construction, methods, headers, return codes, data-formats, architectural constraints, and various tools used for working with REST APIs. Lastly, you see how to make REST API calls in Python.

Module 4, "Application Deployment and Security," defines current application deployment models and their characteristics. Then, we discuss what DevOps is as well as tools and techniques used in building continuous integration and deployment pipelines. Next, we explore Docker, how to use it, and build container-based applications. Then, we finish with understanding application security requirements and the importance of building applications with a security-focused mindset. Additionally, this module discusses the Open Web Application Security Project (OWASP)’s top ten, which is a list that highlights the ten most common security vulnerabilities that you need to combat.

Module 5, "Network Fundamentals," presents several key networking concepts including networking reference models (OSI and TCP/IP); and foundational switching and routing concepts like Ethernet technologies, MAC addresses, VLANs, as well as IPv4 and IPv6 addressing. In addition, this module covers several protocols and technologies that are critical to networking, like DHCP, DNS, NAT, SNMP, and NTP. The module finishes with a focus on troubleshooting application connectivity issues by understanding application constraints and how to read Layer 2 and Layer 3 networking diagrams.

Module 6, "Infrastructure and Automation," introduces the value of automation to your operational model. We then explore several infrastructure automation concepts including controller versus device-level management; infrastructure as code; continuous integration/continuous delivery pipelines; and automation tools and frameworks such as Ansible, Puppet, and Chef. Then we introduce key model-driven programmability concepts and protocols through an overview of YANG, YANG data models, NETCONF, and RESTCONF. Finally, we will explore a few Cisco-related products used in infrastructure automation such as Cisco NSO, Cisco CML, and pyATS.

Module 7, "Developing on Cisco Platforms," starts with an overview of key software development like SDKs and how to use them to automate Cisco infrastructure platforms. Next, we discuss the Cisco Campus and Wan networking Platforms and their APIs, including examples of how to interact with the APIs and demonstrations on how they work in practical terms. We then do the same for Cisco Data Center portfolio and Cisco Compute Management Platforms and their associated APIs. The Cisco Collaboration platforms are next, and we end with the Cisco Security platforms and their associated APIs along with how to use them.

ChatGPT Masterclass A Complete ChatGPT Zero to Hero!

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Chatgpt For Seo: A Complete Guide To Boost Your Rankings
Published 9/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.21 GB | Duration: 3h 15m​

Leverage AI to Enhance Keyword Research, Content Creation, and On-Page SEO, AI, Prompt Engineering SEO, SEO Tools!

What you’ll learn

SEO Keywords for your specific case, for your business.

Optimize your website content and increase traffic with ChatGPT keyword research techniques.

Analyze competitor websites using ChatGPT and gain valuable insights for your own SEO strategy.

Leverage the power of social media and video for SEO optimization with ChatGPT techniques.

Establish your brand and grow your business with ChatGPT SEO strategies.

Use ChatGPT & AI to optimize your SEO in minutes and outrank your competitor on Google.

Optimize your website speed for SEO.

Generate high-quality long-tail keywords for your website using ChatGPT and attract the right audience to your website.

The fastest way to implement SEO on your Website.

Backlink and link-building SEO strategies.

Enhance your website’s meta tags and meta descriptions with ChatGPT and improve your website’s visibility.

Rank higher on Google My Business using ChatGPT and attract more customers to your business.

Apply advanced SEO techniques using ChatGPT, such as position zero and voice search optimization, and become an SEO expert.

Optimize your website’s SEO using the best free plugins.

Write SEO-friendly content with ChatGPT and rank higher on Google search results.

Prepare your website for SEO with ChatGPT by optimizing your website speed and making your website mobile-friendly.

Requirements

No prior experience in SEO is require. If you are a beginner, this course is perfect for you.

Description

Hi Guys,Welcome to my ChatGPT for SEO: A Complete Guide to Boost Your Rankings course!In my course you will learn everything about how to use ChatGPT in SEO. I have created video lessons on every feature of AI Tools. You will get to see the real practical implementation of how to use every feature of this tools.This is the most detailed course on use of ChatGPT in SEO you will ever find on the internet. I have created different sections based on each AI tool and in each section, I have gone in-depth into explaining the concept of the tool and how to practically implement it.This course will give you a 100% understanding of how to use ChatGPT in SEO for business and after going through this course you will be capable of applying these concepts in building your own online business or for your clients.You’re going to get 60 detailed video lessons. A complete access to our student discussion forum, and the ability to ask me any questions you may have as you progress through the class.On top of all that, you get lifetime access and a 30-day, 100% money back guarantee!Topics you will learn in this course:- Welcome to the SEO with ChatGPT Course- Introduction to ChatGPT and its applications in SEO- Utilizing ChatGPT for keyword generation and optimization- ChatGPT for generating high-quality long-tail keywords- Generating SEO Optimized Content ideas that will keep your audience coming back- Writing SEO-Friendly content using ChatGPT- Optimize existing content to rank #1 on Google- Optimizing headlines and subheadings with ChatGPT- Enhancing Meta Tags and Meta Descriptions with ChatGPT- Conducting Backlink Research with ChatGPT- Analyzing competitor websites and content using ChatGPT for SEO insights- What is SEO And why is it important?- Debunking SEO Myths- 2 elements that make up an SEO Campaign – Onpage/Offpage SEO- Need For A Website- Technical Terms- Basic Requirements- Essential Pages Needed- What is a Keyword + Understanding The Intent Behind It- Short Tail Vs Long Tail Keywords- How to access the Google Keyword Planner tool- How to find out what keywords your website already appears for – SEMRush- How to determine keyword difficulty – Mozbar- How to find all the keywords your competitors rank for – SEMRush- How to use Google Auto Suggest coming up with keyword ideas- The importance of keeping your keywords organized – Remove irrelevant, duplicate keywords- How to validate your keywords using Google Trends- Importance of Content in SEO- Content Generation Ideas – Review The Competition- Content Generation Ideas – SEMRush- Content Generation Ideas – Industry Related Blogs- What to Avoid When Creating Content- Importance of Fresh Content in SEO- How long should your content be?- What is Onpage SEO?- The 3 Kings Every Website Has- Optimizing For The First King- Optimizing For The Second King- Optimizing For The Third King- Image ALT Tag For SEO- What is Internal Linking + How To Add Internal Links On Your Website- What is a Backlink and Why are they important- What is Anchor Text & Why Does it play a crucial role in Link Building- What Anchor types does your website need?- What pages should you build backlinks to?- Dofollow VS Nofolllow links + Real-Time Walk-Through Showing- How To find Out What Backlinks Your Website Already Has- How to Determine What makes a good Backlink- A Theoretical Framework on Backlinks- Link Building Strategy 1 – Guest Posting- Link Building Strategy 2 – Steal Your Competitors Backlinks- Link Building Strategy 3 – Forums- Link Building Strategy 4 – Resource Pages- Link Building Strategy 5 – Broken Links- Link Building Strategy 6 – Skyscraper Technique- Link Building Strategy 7 – Reverse Image Search- Link Building Strategy 8 – Relevant Blog commenting- Link Building Strategy 9 – Social Profiles- Using AI to create a professional website in minutes- Customizing Your Website with AIThank you so much for checking out my course. I look forward to seeing you in the course. So, wait no more!Click on the ‘Buy now’ button and join my course today!! Also check out my other courses!!

Overview

Section 1: ChatGPT SEO: Using AI to Rank #1 on Google

Lecture 1 Introduction to ChatGPT and its applications in SEO

Section 2: ChatGPT SEO: Keyword Research

Lecture 2 Utilizing ChatGPT for keyword generation and optimization

Lecture 3 ChatGPT for generating high-quality long-tail keywords

Section 3: ChatGPT SEO: Brainstorming content ideas

Lecture 4 Generating SEO Optimized Content ideas that will keep your audience coming back

Section 4: ChatGPT SEO: Writing SEO Friendly Content

Lecture 5 Writing SEO-Friendly content using ChatGPT

Section 5: ChatGPT SEO: Optimizing your website content & SEO

Lecture 6 Optimize existing content to rank #1 on Google

Lecture 7 Optimizing headlines and subheadings with ChatGPT

Lecture 8 Enhancing Meta Tags and Meta Descriptions with ChatGPT

Section 6: ChatGPT SEO: Conducting Backlink Research

Lecture 9 Conducting Backlink Research with ChatGPT

Section 7: ChatGPT SEO: Analyzing competitors

Lecture 10 Analyzing competitor websites and content using ChatGPT for SEO insights

Section 8: PART 2: Complete SEO Course for Beginners

Lecture 11 What is SEO And why is it important?

Lecture 12 Debunking SEO Myths

Lecture 13 2 elements that make up an SEO Campaign – Onpage/Offpage SEO

Section 9: Create Your Site

Lecture 14 Need For A Website

Lecture 15 Technical Terms

Lecture 16 Basic Requirements

Lecture 17 Essential Pages Needed

Section 10: Keyword Research

Lecture 18 What is a Keyword + Understanding The Intent Behind It

Lecture 19 Short Tail Vs Long Tail Keywords

Lecture 20 How to access the Google Keyword Planner tool

Lecture 21 How to find out what keywords your website already appears for – SEMRush

Lecture 22 How to determine keyword difficulty – Mozbar

Lecture 23 How to find all the keywords your competitors rank for – SEMRush

Lecture 24 How to use Google Auto Suggest to come up with keyword ideas + Keywordtools.io

Lecture 25 The importance of keeping your keywords organized – Remove irrelevant, duplicate

Lecture 26 How to validate your keywords using Google Trends

Section 11: Content Creation

Lecture 27 Importance of Content in SEO

Lecture 28 Content Generation Ideas – Review The Competition

Lecture 29 Content Generation Ideas – SEMRush

Lecture 30 Content Generation Ideas – Industry Related Blogs

Lecture 31 What to Avoid When Creating Content

Lecture 32 Importance of Fresh Content in SEO

Lecture 33 How long should your content be?

Section 12: Onpage SEO

Lecture 34 What is Onpage SEO?

Lecture 35 The 3 Kings Every Website Has

Lecture 36 Optimizing For The First King

Lecture 37 Optimizing For The Second King

Lecture 38 Optimizing For The Third King

Lecture 39 Image ALT Tag For SEO

Lecture 40 What is Internal Linking + How To Add Internal Links On Your Website

Section 13: Offpage SEO

Lecture 41 What is a Backlink and Why are they important

Lecture 42 What is Anchor Text & Why Does it play a crucial role in Link Building

Lecture 43 What Anchor types does your website need?

Lecture 44 What pages should you build backlinks to?

Lecture 45 Dofollow VS Nofolllow links + Real-Time Walk-Through Showing

Lecture 46 How To find Out What Backlinks Your Website Already Has

Lecture 47 How to Determine What makes a good Backlink

Lecture 48 A Theoretical Framework on Backlinks

Lecture 49 Link Building Strategy 1 – Guest Posting

Lecture 50 Link Building Strategy 2 – Steal Your Competitors Backlinks

Lecture 51 Link Building Strategy 3 – Forums

Lecture 52 Link Building Strategy 4 – Resource Pages

Lecture 53 Link Building Strategy 5 – Broken Links

Lecture 54 Link Building Strategy 6 – Skyscraper Technique

Lecture 55 Link Building Strategy 7 – Reverse Image Search

Lecture 56 Link Building Strategy 8 – Relevant Blog commenting

Lecture 57 Link Building Strategy 9 – Social Profiles

Section 14: Create a Pro website with AI

Lecture 58 Using AI to create a professional website in minutes

Lecture 59 Customizing Your Website with AI

Section 15: Thank You!

Lecture 60 Thank you for taking this course!

This course is for anyone, business, or brand that wants to use all the power of SEO to grow their business and sales.,Freelancers.,Digital Marketing Professionals.,Anyone who wants to rank higher on Google, Bing, Yahoo.,Small business owners.,Anyone who wants to dominate SEO.

ChatGPT for Real-World Applications: From Prompts to Product
Published 1/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 20m | Size: 3.82 GB​

Design, integrate, and deploy ChatGPT systems for real business and production use

What you’ll learn
Understand how ChatGPT and large language models actually work, including their capabilities, limitations, and real-world risks, so they can be used responsibly
Design reliable and structured prompts that produce consistent, controllable outputs suitable for real business and engineering use cases.
Move beyond chatbots to build production-ready ChatGPT applications, using APIs, tool-calling, and multi-step workflows.
Integrate ChatGPT with external data using Retrieval-Augmented Generation (RAG) to reduce hallucinations and generate grounded, auditable responses.
Design and evaluate ChatGPT system architectures, considering latency, cost, scalability, and failure-tolerant workflows.
Apply testing, monitoring, and evaluation techniques to ensure AI outputs remain accurate, reliable, and trustworthy in production environments.
Address real-world concerns such as bias, privacy, and compliance, including safe handling of sensitive data and human-in-the-loop validation.
Build and present a complete ChatGPT-powered application, demonstrating the ability to take an idea from prompt design to production-ready deployment.

Requirements
Basic familiarity with using ChatGPT or similar AI tools
General understanding of how software or business workflows operate
Curiosity about AI systems, automation, or real-world applications
Willingness to think beyond simple prompts and chat interfaces

Description
"This course contains the use of artificial intelligence"ChatGPT has moved far beyond simple chatbots and demos, but most people are still using it in ways that do not translate to real business or production environments. This course is designed to close that gap. ChatGPT for Real-World Applications: From Prompts to Production teaches you how to use ChatGPT the way it is actually applied in modern organizations – as part of reliable systems, data pipelines, and production-ready workflows.You will start by building a clear understanding of what Large Language Models (LLMs) really are, what ChatGPT can and cannot do, and why prompting alone is not enough for real-world use. From there, the course progressively moves into prompt engineering fundamentals, advanced reliability techniques, and structured prompt workflows that reduce hallucinations and inconsistent outputs.As you advance, you will learn how ChatGPT is integrated into business analytics, engineering automation, and internal tooling, including how to design prompts that support decision-making, reporting, and code assistance without introducing risk. A major focus of the course is Retrieval-Augmented Generation (RAG), where you will learn how to safely connect ChatGPT to your own data, databases, and documents so outputs are grounded, traceable, and auditable.The course then shifts into system design and architecture, teaching you how to place ChatGPT within real applications using APIs, tool-calling, and multi-step workflows. You will learn how to handle latency, cost control, scaling, and failure-tolerant design, ensuring your applications can operate reliably under real usage conditions.You will also cover AI safety, bias, and privacy, including PII handling, compliance considerations, and human-in-the-loop validation, so your systems can be trusted by users and stakeholders. Finally, the course emphasizes testing, monitoring, and evaluation, treating ChatGPT like any other production software component, not a black box.By the end of the course, you will complete a capstone project where you design, build, evaluate, and present a production-ready ChatGPT application, demonstrating your ability to move from idea to deployment with confidence.What You’ll Gain from This CourseBy completing this course, you will:Understand how ChatGPT actually works and where it fits in real systemsDesign reliable prompts that produce consistent, controlled outputsMove beyond chatbots to build production-grade ChatGPT applicationsIntegrate ChatGPT using APIs, tools, and retrieval systems (RAG)Reduce hallucinations through structured workflows and grounding techniquesDesign scalable and cost-aware architecturesApply testing, monitoring, and evaluation strategies for AI systemsBuild trustworthy, auditable, and compliant AI solutionsGain real-world, job-ready skills used by engineers, analysts, and product teamsThis course is ideal if you want to use ChatGPT professionally, build AI-powered systems, or advance your career by learning how generative AI is actually deployed in modern organizations – not just experimented with.

Who this course is for
Developers and software engineers who want to integrate ChatGPT into real applications, workflows, and production systems using APIs, tools, and structured architectures.
Data analysts, data engineers, and analytics professionals who want to use ChatGPT for reporting, insight generation, internal assistants, and data-driven decision support.
Product managers, technical leads, and founders who need to design, evaluate, and ship AI-powered features responsibly and effectively.
Business professionals and operations teams who want to automate workflows, improve productivity, and understand how ChatGPT can be safely deployed in real business environments.
Students and career switchers who want job-ready, real-world skills in generative AI beyond simple prompt writing.

Chatgpt For Developers
Published 4/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 830.79 MB | Duration: 1h 42m​

Enhancing Coding Workflows for Developers

What you’ll learn

Master AI-Powered Development: Harness ChatGPT to streamline coding workflows, generate optimized code, and elevate collaborative development practices.

Optimize Productivity: Develop skills to seamlessly integrate ChatGPT, boosting ideation, debugging, and code review efficiency for enhanced productivity.

Apply Advanced Techniques: Gain proficiency in refining code outputs, leveraging ChatGPT parameters, and effectively using AI for debugging and code translation

API Proficiency for Developers: Acquire the fundamental skills to access ChatGPT programmatically, build basic applications, and execute coding tasks

Requirements

Basic programming understanding (any language).

Suitable for both new and experienced developers.

Internet connection, browser, and a willingness to explore and learn with an open mind.

Description

Take advantage of ChatGPT’s potential and transform your coding skills with the course. Explore the world of AI to see how ChatGPT may improve code quality, increase productivity, and streamline your development processes. Through the creation of code snippets and support with debugging, this course gives you the abilities and know-how to use ChatGPT efficiently in your development projects. This course is your ticket to learning ChatGPT and changing the way you code, regardless matter whether you’re an experienced developer trying to streamline your workflow or a novice excited to investigate the potential of AI in coding.Throughout the course, you’ll have the opportunity to engage with real-world examples, practical demonstrations, and interactive exercises, ensuring a rich and immersive learning experience. By the end of the course, participants will emerge equipped with the skills and confidence to unleash the full potential of ChatGPT, driving innovation and efficiency in their coding projects.Whether you’re a seasoned developer looking to enhance your coding workflows or a newcomer eager to explore the possibilities of AI-assisted development, "Unleashing ChatGPT" is your gateway to unlocking new levels of creativity, productivity, and success in the world of coding. Join us on this transformative journey and discover the endless possibilities with ChatGPT.

Overview

Section 1: Introduction to ChatGPT for developers

Lecture 1 Introduction

Lecture 2 Understanding Chatgpt Developer’s Value

Section 2: Development Workflows Using ChatGPT

Lecture 3 Introductioon

Lecture 4 Optimizing Coding Workflows With ChatGPT

Lecture 5 Collaborative Coding With ChatGPT

Section 3: Advanced Development Techniques

Lecture 6 Introduction to Advanced Development Techniques

Lecture 7 Code Optimization With ChatGPT

Lecture 8 Debugging Assistance With ChatGPT

Lecture 9 Code Translation & Documentation Assistance With ChatGPT

Section 4: ChatGPT API Basics

Lecture 10 Creating an API Key

Lecture 11 Sending request to OpenAI API and getting a response

Lecture 12 Generating code and executing coding tasks

Lecture 13 Streaming responses

Lecture 14 A WordPress Plugin Powered by Open AI API

Lecture 15 Resources for further exploration

Developers of All Levels: Whether you’re a beginner or an experienced developer, this course is tailored to enhance your coding skills using ChatGPT.,Those Seeking Productivity Gains: Individuals aiming to boost their coding efficiency, ideation, and collaboration through the integration of AI tools.,AI Enthusiasts: If you’re curious about how AI can be applied in real-world development scenarios, this course provides hands-on experience with ChatGPT.,Tech Professionals Exploring AI Integration: Engineers, programmers, and tech enthusiasts keen on integrating AI seamlessly into their workflows for improved outcomes.