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Free Download Ai & Llm Engineering Mastery - Genai, Rag Complete Guide Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 16.21 GB | Duration: 28h 11m From Fundamentals to Advanced AI Engineering - Fine-Tuning, RAG, AI Agents, Vector Databases & Real-World Projects What you'll learn Master the architecture and workflow of a RAG system for processing PDFs and multimodal data. Master the Fundamentals of AI, Machine Learning and Deep Learning (Basics) Master LangChain tools, frameworks, and workflows, including embedding techniques and retrievers. Fine-tuning models with OpenAI, LoRA, and other techniques to customize AI responses. Develop AI-driven applications with advanced RAG techniques, multimodal search, and AI agents for real-world use cases. Requirements Basics of Programming - Python Fundamentals INCLUDED Description Become an AI Engineer and master Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, and vector databases in this comprehensive hands-on course. Whether a beginner or an experienced developer, this course will take you from zero to hero in building real-world AI-powered applications.This course combines deep theoretical insights with hands-on projects, ensuring you understand AI model architectures, development and optimization strategies, and practical applications.What You'll Learn:Deep Learning & Machine Learning FoundationsUnderstand neural networks, activation functions, transformers, and the evolution of AI.Learn how modern AI models are trained, optimized, and deployed in real-world applications.Master Large Language Models (LLMs) & Transformer-Based AIDeep dive into OpenAI models, and open-source AI frameworks.Build and deploy custom LLM-powered applications from scratch.Retrieval-Augmented Generation (RAG) & AI-Powered SearchLearn how AI retrieves knowledge using vector embeddings, FAISS, and ChromaDB.Implement scalable RAG systems for AI-powered document search and retrieval.LangChain & AI Agent WorkflowsBuild AI agents that autonomously retrieve, process, and generate information.Fine-Tuning LLMs & Open-Source AI ModelsFine-tune OpenAI, and LoRA models for custom applications.Learn how to optimize LLMs for better accuracy, efficiency, and scalability.Vector Databases & AI-Driven Knowledge RetrievalWork with FAISS, ChromaDB, and vector-based AI search workflows.Develop AI systems that retrieve and process structured & unstructured data.Hands-on with AI Deployment & Real-World ApplicationsBuild AI-powered chatbots, multimodal RAG applications, and AI automation tools.Who Should Take This Course?Aspiring AI Engineers & Data Scientists - Looking to master LLMs, AI retrieval, and search systems.Developers & Software Engineers - Who want to integrate AI into their applications.Machine Learning Enthusiasts - Seeking a deep dive into AI, GenAI, and AI-powered search.Tech Entrepreneurs & Product Managers - Wanting to build AI-driven SaaS products.Students & AI Beginners - Who need a structured, step-by-step path from beginner to expert.Course RequirementsNo prior AI experience required - the course takes you from beginner to expert.Basic Python knowledge (recommended but not required - Python Fundamentals Included in the course).Familiarity with APIs & JSON is helpful but not mandatory.A computer with internet access for hands-on development.Why Take This Course?Comprehensive AI Training: Covers LLMs, RAG, AI Agents, Vector Databases, Fine-Tuning.Hands-On Projects: Every concept is reinforced with real-world AI applications.Up-to-Date & Practical: Learn cutting-edge AI techniques & tools used in top tech companies.Zero to Hero Approach: Designed for absolute beginners & experienced developers alike.Master AI Engineering and become an expert in GenAI, LLMs, and RAG today. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 DEMO - What You'll Build in this Course Lecture 3 Course Structure Lecture 4 How To Get The Most from This Course Section 2: Development Environment Setup Lecture 5 Development Environment Setup - Overview Lecture 6 Install Python on Windows - for WINDOWS USERS Lecture 7 Install Python on MAC - for MAC USERS Lecture 8 Download Visual Studio Code Lecture 9 Install the Python Extension Pack for VS Code Lecture 10 Running First Python Program in VS Code Section 3: Do You Know Python? Lecture 11 Python Deep Dive - Introduction and Overview Section 4: OPTIONAL - Python Deep Dive - Master Python Fundamentals Lecture 12 What is Python and Where It's Used? Lecture 13 Python Compilation & Interpretation Process Lecture 14 Download Python Fundamentals Code Lecture 15 Declaring Variables in Python Lecture 16 Data Types Lecture 17 Python f-Strings Lecture 18 Numbers - Integers and Floats Lecture 19 Introduction to Lists - Accessing and Modifying Them Lecture 20 f-Strings & Individual Values from a List Lecture 21 Sorting a List and Getting a List Length Lecture 22 Lists and Loops - Looping through a List Lecture 23 Making a List of Numbers with Loops and the Range Function Lecture 24 Statistics Functions for Numbers Lecture 25 Generate Even Numbers with the List and Range Lecture 26 Important: Code Organization Note Lecture 27 List Comprehension Lecture 28 Tuples Lecture 29 Branching - If Statements and Booleans Lecture 30 The Elif and the in Keywords Lecture 31 Hands-on - Using AND and OR Logical Operators Lecture 32 AND OR Logical Operators Lecture 33 Checking for Inequalities Lecture 34 Hands-on - Inner If-Statements Lecture 35 Data Structures - Dictionaries - Introduction and Declaring and Accessing Values Lecture 36 Modifying a Dictionary Lecture 37 Iterating Through a Dictionary Lecture 38 Nested Dictionaries and Looping Through Them Lecture 39 Looping through a Dictionary with a List Inside Lecture 40 User Input and While Loops - User Input - Introduction Lecture 41 Hands-on - Odd or Even Number Lecture 42 While Loops & Simple Quit Program Lecture 43 Hands-on - Quiz Game Lecture 44 Removing all Instances of Specific Values from a List Lecture 45 Hands-on Dream Travel Itinerary Program - Filling a Dictionary with User Input Lecture 46 Functions - Introduction Lecture 47 Passing Information to a Function (parameters) Lecture 48 Positional and Named Arguments Lecture 49 Default Values - Parameters Lecture 50 Return Values from a Function Lecture 51 Hands-on - Returning an Integer & Intro do DocString Lecture 52 Functions - Passing a List as Argument Lecture 53 Passing an Arbitrary Number of Arguments to a Function Lecture 54 Introduction to Modules - Importing Specific functions from a Module Lecture 55 Using the "as" as an Alias Lecture 56 Classes and OOP - Object Oriented Programming - The "init and "str" methods Lecture 57 Adding More Methods to the Class Lecture 58 Setting a Default Value for an Attribute Lecture 59 Modifying Class Attribute - directly and with Methods Lecture 60 Inheritance - Create an Ebook - Child Class Lecture 61 Overriding Methods Lecture 62 Creating and Importing from a Module Lecture 63 The Object Class - Overview Lecture 64 The Python Standard Library Lecture 65 Random Module - Random Fruit Hands-on Lecture 66 Hands-on - Random Fruit with Choice Module Method Lecture 67 Using Datetime Module Lecture 68 Writing & Reading Files - Do Useful Tasks with Python - Do amazing things Lecture 69 The Path Class & Reading a Text File Lecture 70 Resolving Path - Reading From a Subdirectory with Path Lecture 71 Path Properties Overview Lecture 72 Writing to Text file with Path Lecture 73 Read and Write to File Using the "with" Keyword Lecture 74 Handling Exceptions Lecture 75 The "FileNotFound" and "IndexError" Exceptions Types Lecture 76 Custom Exception Creation and handling Lecture 77 JSON - Reading and Writing to a JSON File Lecture 78 Hands-on - Writing and Reading - Countries to JSON file Lecture 79 Hands-on - File Organizer Lecture 80 Python Virtual Environment and PIP Lecture 81 Setting up Virtual Environment and Installing a Package Lecture 82 Hands-on Watermarker Python Tool Lecture 83 Building an Image Watermarker in Python - Part 1 Lecture 84 Generating the Watermarked Images Lecture 85 Reading CSV File - Introduction Lecture 86 Getting the CSV header Position Lecture 87 Reading Data from a CSV Column Lecture 88 Plotting a Graph with CSV Data Section 5: Deep and Machine Learning Deep Dive Lecture 89 Deep and Machine Learning Deep Dive - Overview and Breakdown Lecture 90 Deep Learning Key Aspects Lecture 91 Deep Neural Network Dissection - Full Dive with Analogies Lecture 92 The Single Neuron Computation - Deep Dive Lecture 93 Wights - Deep Dive Lecture 94 Activation Functions - Deep Dive with Analogies Lecture 95 Deep Learning Summary Lecture 96 Machine Learning Introduction - Machine Learning vs. Deep Learning Lecture 97 Learning Types - Education System Analogy Lecture 98 Comparative Capabilities Deep Learning and Machine Learning and AI - Summary Section 6: Generative AI (GenAI) - Deep Dive Lecture 99 GenAI Introduction and Architecture Overview Lecture 100 GenAI Key Technologies - Limitations and challenges Lecture 101 GenAI Key Components Overview and Summary Section 7: LLMs (Large Language Models) - Fundamentals - A Deep Dive Lecture 102 LLMs - Overview Lecture 103 The Transformer Architecture - Fundamentals Lecture 104 The Self-Attention Mechanism - Analogy Lecture 105 The Transformers Library - Deep Dive Lecture 106 HANDS-ON - Create a Simple LLM from the Transformers Library - Simple Lecture 107 HANDS-ON - Hands-on Enhanced Transformers LLM Lecture 108 Open-source vs. Closed-source Models - Overview Section 8: OpenAI Models and Setup Lecture 109 Setup OpenAI Account and API Key Lecture 110 Using APIs Effectively in AI Projects Lecture 111 HANDS-ON - Making our First Call to OpenAI Model Section 9: Prompt Engineering - Communicating with LLMs - Deep Dive Lecture 112 Prompt Engineering Introduction Lecture 113 Prompt Engineering and Types - Why it Matters Lecture 114 HANDS-ON - Simple Prompting Example Lecture 115 Advanced Prompting Techniques and Challenges Lecture 116 HANDS-ON - Few-shots Prompting Lecture 117 HANDS-ON - Zero-shot Prompting Lecture 118 HANDS-ON -Chain-of-Thoughts Prompting Lecture 119 HANDS-ON - Instructional Prompting Lecture 120 HANDS-ON - Role-Playing and Open-ended Prompting Lecture 121 Temperature and Top-p Sampling Lecture 122 HANDS-ON - Prompt Techniques Combination and Streaming Lecture 123 Prompt Engineering Summary and Takeaways Section 10: Ollama & Open-Source Models - Complete Guide Lecture 124 Ollama - Introduction Lecture 125 Download Source Code and Resources Lecture 126 Ollama Deep Dive - Ollama Overview - What is Ollama and Advantages Lecture 127 Ollama Key Features and Use Cases Lecture 128 System Requirements & Ollama Setup - Overview Lecture 129 HANDS-ON - Download and Setup Ollama and Llama3.2 Model Lecture 130 Ollama Models Page - Overview Lecture 131 Ollama Model Parameters Deep Dive Lecture 132 Understanding Parameters and Disk Size and Computational Resources Needed Lecture 133 Ollama CLI Commands -Pull and Testing a Model Lecture 134 Pull in the Llava Multimodal Model and Caption an Image Lecture 135 Summarization and Sentiment Analysis & Customizing Our Model Lecture 136 Ollama REST API - Generate and Chat Endpoints Lecture 137 Ollama REST API - Request JSON Mode Lecture 138 Ollama Models Support Different Tasks - Summary Lecture 139 Different Ways to Interact with Ollama Models Lecture 140 Ollama Model Running Under Msty App Lecture 141 Ollama Python SDK for Building LLM Local Applications Lecture 142 HANDS-ON - Interact with Llama3 in Python Using Ollama REST API Lecture 143 Ollama Python Library - Chatting with a Model Lecture 144 Chat Example with Streaming Lecture 145 Using Ollama Show Function Lecture 146 Create a Custom Model in Code Section 11: Context & Memory Management for LLMs - Deep Dive Lecture 147 HANDS-ON - Context and Memory Management Overview Lecture 148 What is Context and Memory Management - Deep Dive Lecture 149 HANDS-ON - Adding Memory and Context to Chatbox Lecture 150 Summary Section 12: Logging in LLM Applications - Deep Dive Lecture 151 Logging - Introduction - What and the Why Lecture 152 Logging in LLM Applications and Logging Life Cycle Lecture 153 HANDS-ON - Chatbot with Logging Lecture 154 Summary Section 13: RAG - Retrieval-Augmented Generation - Deep Dive Lecture 155 RAG Introduction - What is it? Lecture 156 RAG Key Components - The RAG Triad Lecture 157 RAG vs. Pure GenAI Models Lecture 158 RAG Deep Dive - Full Diagram Walkthrough Lecture 159 RAG Benefits and Practical Applications Lecture 160 RAG Challenges Lecture 161 RAG Fundamentals - Takeaways - Summary Section 14: Vector Databases and Embeddings - Deep Dive Lecture 162 Vector Databases and Embeddings for RAG Workflows - Introduction Lecture 163 Download Source code Lecture 164 Introduction to Vector Databases - Full Overview Lecture 165 Why Vector Databases Lecture 166 Vector Databases - Benefits and Advantages Lecture 167 Traditional vs. Vector Databases - Limitations and challenges Lecture 168 Vector Databases & Embeddings - Full Overview Lecture 169 Embeddings vs. Vectors - Differences Lecture 170 Vector Databases - How They Work and Advantages Lecture 171 Vector Databases Use Cases Lecture 172 Vector and Traditional Databases - Summary Lecture 173 The Top 5 Vector Databases - Overview Lecture 174 Building Vector Databases - Dev Environment Setup Lecture 175 Setup VS-Code, Python and OpenAI API Key Lecture 176 Chroma Database workflow Lecture 177 Creating a ChromaDB and Adding Documents and Querying Lecture 178 Looping Through the Results & Showing Similarity Search Results Lecture 179 Chroma Default Embedding Function Lecture 180 Chroma Vector Database - Persisting Data and Saving Lecture 181 Creating an OpenAI Embeddings - Raw without Chroma Lecture 182 Using OpenAIs Embedding API to Create Embedding in ChromaDB Lecture 183 Vector Databases Metrics and Data Structures Lecture 184 Summary Lecture 185 Vector Similarity Deep Dive - Cosine Similarity Lecture 186 Eucledian Distance - L2 Norm Lecture 187 Dot Product Lecture 188 Summary Lecture 189 Vector Databases and LLM - Deep Dive Lecture 190 Loading all Documents Lecture 191 Generating Embeddings from Documents and Insert to Vector Database Lecture 192 Getting the Relevant Chunks when Given a Query Lecture 193 Using OpenAI LLM to Generate Response - Full Workflow Lecture 194 Summary Section 15: HANDS-ON - RAG PDF Workflow - Build RAG Workflows Deep Dive Lecture 195 Building a RAG Pipeline - Overview Lecture 196 First RAG Workflow Architectural Diagram Lecture 197 Setting up the Embedding Model Class Lecture 198 HANDS-ON - Building and Showcasing the RAG Workflow Lecture 199 HANDS-ON - RAG Workflow with UI - Streamlit Lecture 200 First RAG Pipeline Summary Section 16: HANDS-ON - Build a PDF RAG System with Text Chunking Lecture 201 PDF RAG Workflow - Architecture Overview Lecture 202 PDF and Chunk Processing and Chunk Overlap - Deep Dive Lecture 203 Setting up the SimpleRAGSystem Class and Methods Lecture 204 Testing the PDF RAG System Lecture 205 Simple PDF RAG Workflow - Summary Section 17: LLM Tools and Frameworks - LangChain Deep Dive Lecture 206 LLM Frameworks Introduction - LangChain Fundamentals Lecture 207 What is LangChain and and Main Components Lecture 208 LangChain Setup and ChatModel Lecture 209 Hands-on - LangChain ChatPromptTemplates Lecture 210 Indexes, Retrievers and Data Preparation - Overview Lecture 211 Hands-On - LangChain TextLoaders Lecture 212 Hands-on: Text Splitting and Cleaning Lecture 213 Hands-on: Embeddings and Retriever with FAISS VectorStore Lecture 214 LangChain TextSplitter - Deep Dive Lecture 215 LangChain DirectoryLoader Lecture 216 LangChain PDFLoader Lecture 217 Hands-on: LangChain Chains Lecture 218 Hands-on - Simple RAG System with Chat and LangChain Chains Lecture 219 Hands-on: Full RAG System QA Bot Using LangChain Section 18: HANDS-ON - Building LLM Applications with LangChain Lecture 220 LLM Application - News Summarizer - Architectural Overview Lecture 221 News Summarizer - Full Implementation Lecture 222 LLM Application - Youtube Video Summarizer - Architectural Overview Lecture 223 Youtube Video Summarizer & Q&A Dependency Setup Lecture 224 Youtube Video Summarizer Class Setup and Walkthrough Lecture 225 Youtube Video Summarizer Q&A - Testing the Workflow Lecture 226 LLM Application - Voice Assistant RAG System - Architectural Overview Lecture 227 Voice Assistant RAG System - Demo Lecture 228 Voice Assistant RAG System - Walkthrough and Demo Section 19: Advanced RAG Techniques - Naive vs Advanced RAG Techniques Lecture 229 RAG and the RAG Triad - Quick Overview and Recap Lecture 230 What is RAG and Naive RAG Overview and Pitfalls - Motivation Lecture 231 Deep Dive into Each Naive RAG Drawbacks Lecture 232 Advanced RAG Technique - Query Expansion with Multiple Queries - Overview Lecture 233 Hands-on - Query Expansion with Multiple Queries - Generate Multiple Queries Lecture 234 Query Expansion Workflow Architectural Diagram Lecture 235 Hands-on- Setting up the Workflow and Code Walkthrough Lecture 236 Query Expansion Full RAG Workflow Lecture 237 Query Expansion with Multiple Queries Downsides & Summary Lecture 238 Re-Ranking & Cross-encoder and Bi-encoders - Overview Lecture 239 Reranking Technique RAG System Workflow Architecture Lecture 240 Cohere Rerank API Key Setup Lecture 241 Hands-on - Re-ranking Implementation with Cohere - Full Implementation Lecture 242 Re-ranking Summary Section 20: Multimodal RAG - Deep Dive Lecture 243 Multimodal RAG Source Code Lecture 244 RAG & Multimodal RAG - Recap and Overview Lecture 245 RAG Benefits and Practical Applications Lecture 246 Multimodal RAG - Overview & Motivation and Benefits - How it Works Lecture 247 How Search Is Integrated into a Multimodal RAG System - Full Workflow Lecture 248 Why Multimodal Search is so Powerful Lecture 249 Visual Explanation Why Multimodal Search is so Powerful Lecture 250 HANDS-on: Multimodal Search System setup - Create Embeddings from Images Lecture 251 Finish the Multimodal Search System Lecture 252 HANDS-ON - Multimodal Recommender System - Overview Lecture 253 Getting our Dataset from HuggingFace & showing Number of Rows Lecture 254 Saving Images Embeddings to Vector Database Lecture 255 Testing our MultiModal Recommender System - Fetching the Correct Images Lecture 256 Setting up the RAG Workflow Lecture 257 Putting it all Together and Testing the Multimodal Recommender RAG System Lecture 258 Adding a Streamlit UI to the Multimodal Recommender System Section 21: AI Agents & Agentic Workflows - Deep Dive Lecture 259 AI Agents Deep Dive - A Full Overview Lecture 260 Agents Characteristics and Use Cases Lecture 261 Download Source Code for AI Agents Section Lecture 262 Building our First AI Agent - Project Setup (OpenAI API) Lecture 263 Build our First AI Agent - Creating the Agent Class and Prompt Lecture 264 First AI Agent - Running our First Agent and Seeing the Results Lecture 265 Passing Complex Queries Through the Agent Lecture 266 First Agent - Using a Loop to Automate our Agent Lecture 267 Adding Interactive to Our Agent - Console App Lecture 268 Agent Introduction - Section Summary Lecture 269 LangGraph - Overview & Key Concepts Lecture 270 LangGraph - How It Helps Build AI Agents Lecture 271 LangGraph Core Concepts - Simple Flow Diagrapm Lecture 272 LangGraph - Data and State - Overview Lecture 273 Building a Simple Agent with LangChain Lecture 274 LangGraph Simple Bot - Streaming Values - Console App Lecture 275 Adding Tools to our Basic LangGraph Agent Lecture 276 Adding tools to the Agent - Part 1 Lecture 277 Adding Tools to the Agent - Using Built-in Tools - Part 2 Lecture 278 Adding Memory to Our Agent State Lecture 279 Adding Human-in-the-loop to the AI Agent Lecture 280 Building AI Agents with LangChain - Section Summary Lecture 281 Hands-on - Build a Financial Report Writer AI Agent Lecture 282 Agent State and Prompts Setup Lecture 283 Creating All Nodes - Functions Lecture 284 Adding Nodes and Edges and Running our Agent Lecture 285 Adding a GUI to the Agent with Streamlit Lecture 286 Optimization Techniques - Overview Lecture 287 Financial Report Writer AI Agent - Course Summary Section 22: Fine-tuning LLMs Lecture 288 Fine-tuning Introduction - Overview Lecture 289 Fine-tuning Techniques - Overview Lecture 290 Fine-tuning Comparison of Techniques Lecture 291 Fine-tuning General Process - Overview Lecture 292 Fine-tuning OpenAI Models Pricing Lecture 293 Tokens and the Tokenizer OpenAI Tool Lecture 294 HANDS-ON - Fine-tuning an OpenAI Model - Full Walkthrough Lecture 295 Crating a Chatbot with our Fine-tuned Model and Testing Section 23: Fine-Tuning Technique - LoRA Deep Dive Lecture 296 LoRA Introduction - Benefits Lecture 297 LoRA Deep Analysis Lecture 298 LoRA Implementation Strategy Workflow Lecture 299 Hands-on - Training Models - LoRA and PEFT Lecture 300 Running LoRA Model Fine-tuning and Testing Lecture 301 Creating an API Service to Interface with Our Fine-tuned Models Lecture 302 Testing our LoRA Model API Endpoint Lecture 303 Chatting with LoRA Fine-tuned Models Lecture 304 Full LoRA Workflow - Train and Chat with Fine-tuned Models Section 24: Wrap up and Next Steps Lecture 305 Wrap up and Next Steps Developers looking to implement AI-powered document search and retrieval.,Tech Entrepreneurs & Product Managers who want to build AI-driven applications.,Students & Researchers exploring the practical applications of LLMs and AI-driven automation. 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Instead of superficial knowledge, we go into the depth of the topic and give you the exact, step-by-step blueprint on how to tackle simple as well as complex topics in easy and digestible bite-sized videos.This real-world knowledge enables you to grasp knowledge easily, and you can apply this learning immediately to your life and projects.Educational Engineering Team has been in the Programming and Microcontroller business since 2007. We have been part of many projects. Over the course of these years, we have gained a good insight into students' and educators' needs. We are passionate about sharing all our collective knowledge with you. As of 2018, we have already taught over 250k-THOUSAND students and counting.Currently, we have more than 100+ Courses on Udemy.Educator and Author of "Educational Engineering"Ashraf is an educator, Mechatronics engineer, electronics and programming hobbyist, and Maker. 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With over 11 years of tertiary teaching experience, Ashraf has developed a simple yet comprehensive and informative style in teaching that students from all around the world appreciate.His passion for Microcontrollers and Programming, particularly for the world of Arduino, PIC Microcontroller, Raspberry Pi, has guided his personal development and his work through Educational Engineering.Ashraf's online courses have helped over 250,000 people from around the world to be better and to make a great career in the industry.Educational Engineering Team offers Courses on:Circuit Design, Simulation, and PCB FabricationArduino, PIC Microcontroller, and Raspberry PiProgramming in C, Python, and other programming languagesPLC Industrial Programming and Automation3D Design and SimulationESP and IoT World This course is intended for Arduino enthusiasts who want to use their new found knowledge in a creative way.,arduino hobbyist,anyone who wants to know about digital meter using Arduino,anyone who wants to know variety of Arduino Experiments or Projects,This course is designed for people who want to learn how to use Arduino to control a digital meter,The course is designed for people who have some experience with Arduino, but no knowledge of meters is required,Course is designed for beginners who want to learn more about Arduino and electronics Homepage: https://www.udemy.com/course/arduino-digital-meter-rule-using-arduino/ Rapidgator Links Download https://rg.to/file/5d1ca84a394ddb394a479b1cea099938/pionz.Udemy..Digital.Meter.Rule.Using.Arduino.part1.rar.html https://rg.to/file/7f2904618ce40f56135c206b5e807954/pionz.Udemy..Digital.Meter.Rule.Using.Arduino.part2.rar.html Fikper Links Download https://fikper.com/8IAE9gXkYa/pionz.Udemy..Digital.Meter.Rule.Using.Arduino.part1.rar.html https://fikper.com/bc9FEihWuc/pionz.Udemy..Digital.Meter.Rule.Using.Arduino.part2.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Defining Your Sales Strategy Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 110.21 MB | Duration: 0h 30m Sales Funnels, Sales Habit Loops, Unique Value Proposition, OKRs, Forecasting What you'll learn Understanding The Modern Buyer's Journey Creating Your Unique Value Proposition Stakeholder Titles and Roles Conversational Sales Sales Funnel Creation Forecasting and OKRs The Sales Habit Loop Requirements No sales experience required, beginners welcome Description Defining Your Sales Strategy has been built to provide you with a fast-track guide to understanding the key elements of a successful sales approach. This course will equip you with the tools to craft a compelling Unique Value Proposition (UVP), build high-converting sales funnels, and develop winning sales habits that drive consistent results. You'll also gain understanding of OKRs and forecasting techniques to keep your sales performance on track and scalable.By the end of this course, you'll have gained practical, actionable insights that will empower you to refine your sales strategy, close more deals, and drive business growth with confidence.This course has been created for start-ups who want to build their sales strategies from scratch, established organisations looking to refine and polish existing strategies and individual sales reps who want to level up.Course Lectures:Introduction/ Importance of a Defined Sales StrategyWhat is a UVP?Key Elements of a Strong UVPExamples of Strong UVPsUnderstanding Stakeholder Titles and RolesOvercome GatekeepingWhat is a Sales Funnel?Creating Your Sales FunnelHow to ForecastImplementing OKRsUnderstanding Sales Habit LoopsCreating a Sales Habit LoopReady to take your sales strategy to the next level? Let's dive in! Overview Section 1: Introduction Lecture 1 Introduction & Importance of a Defined Sales Strategy Section 2: Creating Your Unique Value Proposition Lecture 2 What is a UVP? Lecture 3 Key Elements of a Strong UVP Lecture 4 Examples of Strong UVPs Section 3: Stakeholder Titles and Job Roles Lecture 5 Understanding Stakeholder Titles & Role in the Sale Lecture 6 Overcome Gatekeeping Section 4: Sales Funnel Creation Lecture 7 What Is A Sales Funnel? Section 5: Forecasting & OKRs Lecture 8 Creating Your Sales Funnel Lecture 9 How to Forecast Lecture 10 Implementing OKRs Section 6: The Sales Habit Loop Lecture 11 Understanding Sales Habit Loops Lecture 12 Creating a Sales Habit Loop Start-ups building their Sales Strategy from scratch,Established organisations looking to refine their existing Sales Strategies,Sales enablement material for SaaS organisations,Account Executives, BDRs, and SDRs seeking to expand their knowledge and enhance their performance Homepage: https://www.udemy.com/course/defining-your-sales-strategy/ Rapidgator Links Download https://rg.to/file/03fc67f6df905fbe28412e4ae9bef88e/rnwmn.Udemy..Defining.Your.Sales.Strategy.rar.html Fikper Links Download https://fikper.com/8bon3LWM1K/rnwmn.Udemy..Defining.Your.Sales.Strategy.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Conquer Jealousy - Own Your Emotions & Thrive Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.86 GB | Duration: 1h 20m What causes jealousy and what can I do about it? What you'll learn Understand the Psychological and Physiological Roots of Jealousy Apply Attachment Theory to Romantic Relationships Develop Skills for Emotional Regulation and Fear Desensitization Identify and Address Dysfunctional Relationship Patterns Requirements Openness to Self-Reflection and Personal Growth Some Experience in Relationships Familiarity with Attachment Theory (Optional but Helpful) Description Jealousy can be one of the most intense and destabilizing emotions in relationships, but it is often misunderstood. This course goes beyond surface-level advice and explores the deep-rooted psychological, physiological, and attachment-based causes of jealousy. By integrating neuroscience, attachment theory, and practical emotional regulation techniques, you'll learn to transform jealousy from a destructive force into a powerful tool for self-awareness and relationship growth.Who this course is for :Individuals struggling with jealousy in their relationships.Couples looking to build trust and emotional security.Therapists, coaches, and mental health professionals seeking a deeper understanding of jealousy and attachment.Those with attachment wounds or past trauma who want to break free from unhealthy patterns.Personal development enthusiasts interested in emotional intelligence and self-awareness.What You'll Learn:The Psychological and Physiological Roots of JealousyHow jealousy functions as a fear response in the nervous system.The connection between jealousy, trauma, and early attachment wounds.The difference between jealousy and envy, and why it matters.Attachment Theory and Relationship SecurityUnderstanding the five pillars of attachment (felt safety, attunement, support while dysregulated, express delight, and autonomy).How insecure attachment creates jealousy and emotional dysregulation.Identifying and healing attachment wounds in yourself and your partner.Emotional Regulation and Fear DesensitizationTechniques for calming the nervous system during jealousy triggers.Exposure therapy and other methods for fear desensitization.The role of play, curiosity, and inner child work in emotional healing.Recognizing and Shifting Dysfunctional Relationship PatternsIdentifying red flags and unhealthy relationship dynamics.How to stop seeking external validation and reclaim personal agency.Understanding how trauma-bonded relationships reinforce jealousy and insecurity.Nonviolent Communication and Conflict ResolutionLearning to communicate jealousy without blame or shame.Setting healthy boundaries while maintaining emotional connection.How to navigate emotionally charged conversations with a partner.Transforming Jealousy Into GrowthViewing jealousy as a tool for self-discovery rather than a destructive force.Moving from fear-based relationships to secure, fulfilling connections.Developing a long-term strategy for emotional resilience and relationship success. Overview Section 1: Mastering Jealousy: Take Control, Overcome Fear, and Build Stronger Relationship Lecture 1 Understanding Fear-Based Reactions Lecture 2 Understanding Jealousy Itself Lecture 3 Understanding Fear, Accountability, and Personal Growth Lecture 4 Understanding and Overcoming Jealousy in Relationships Lecture 5 Building Secure Relationships: Attachment, Jealousy, and Emotional Safety Lecture 6 Transforming Jealousy: Fear, Vulnerability, and Emotional Growth Individuals Struggling with Jealousy in Relationships,Couples Seeking Stronger, More Secure Relationships,Therapists, Coaches, and Mental Health Professionals,Individuals with Attachment Wounds or Past Trauma,Personal Development Enthusiasts Homepage: https://www.udemy.com/course/solving-jealousy/ Rapidgator Links Download https://rg.to/file/2beab14ea0db98f506e11a1b8f78dfea/xgihu.Udemy..Conquer.Jealousy..Own.Your.Emotions..Thrive.part1.rar.html https://rg.to/file/dd947d09d164cdccdfadc2f8ca5b7fdb/xgihu.Udemy..Conquer.Jealousy..Own.Your.Emotions..Thrive.part2.rar.html https://rg.to/file/d59896cbe8e526c22a980b505e3009d6/xgihu.Udemy..Conquer.Jealousy..Own.Your.Emotions..Thrive.part3.rar.html Fikper Links Download https://fikper.com/PhACI81r4m/xgihu.Udemy..Conquer.Jealousy..Own.Your.Emotions..Thrive.part1.rar.html https://fikper.com/RVXGP422r2/xgihu.Udemy..Conquer.Jealousy..Own.Your.Emotions..Thrive.part2.rar.html https://fikper.com/znEswoBhwe/xgihu.Udemy..Conquer.Jealousy..Own.Your.Emotions..Thrive.part3.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Computer Basics for Beginners 2025 Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 28m | Size: 1.3 GB Course Subtitle: Master Digital Skills: Learn Computer Basics, Internet Use, Online Safety, and Essential Software. What you'll learn Basic Computer Operations: Master the essentials of using a computer, including hardware, keyboard, mouse, and file management. Operating System Basics: Understand how to navigate and customize operating systems like Windows and macOS, including software installation Internet Use & Safety: Learn to browse the internet effectively and safely, using browsers, search engines, and email, while protecting privacy. Productivity Software Skills: Gain proficiency in word processing, spreadsheets, and presentation tools for creating documents, managing data, and presenting. Requirements No previous experience in using computers. Ability to view video on demand Description Learn fundamental computer skills, including basic operations, internet use, online safety, and productivity software, to confidently navigate the digital world. This course is designed for absolute beginners, older adults, job seekers, students, stay-at-home parents, small business owners, hobbyists, and lifelong learners. By the end of the course, you'll be able to efficiently use a computer, navigate operating systems, browse the internet safely, and utilize essential software like word processors and spreadsheets.This course features live demonstrations ensuring you gain confidence in managing files, communicating online, and protecting your digital privacy. Whether you're looking to enhance your career prospects, stay connected with loved ones, or simply feel more comfortable with technology, this course provides the foundational skills you need. Join us and embark on a journey to become digitally literate, opening up new opportunities and making technology a valuable part of your everyday life. Additionally, our supportive community and experienced instructors will be there to guide you every step of the way, making your learning experience enjoyable and enriching. Take the first step towards mastering the basics of computer literacy and embrace the digital age with confidence and ease.Through interactive lessons and real-world applications, you'll discover how technology can simplify everyday tasks, streamline your workflow, and connect you to a world of information and resources. This course will empower you to troubleshoot common issues, understand the importance of software updates, and keep your devices running smoothly. By the end, you'll be well-equipped to tackle new challenges and embrace the opportunities that come with being digitally savvy. Let's take this journey together and unlock the potential of technology to enhance your life and broaden your horizons. Who this course is for Absolute Beginners: Individuals with little to no prior experience using computers. People who feel overwhelmed or intimidated by technology. Older Adults: Seniors looking to develop basic computer skills to stay connected with family and friends. Those aiming to keep up with the digital world and enhance their daily lives. Job Seekers: Unemployed individuals seeking to improve their tech skills for better job prospects. Those transitioning careers and needing foundational computer knowledge. Students: School and college students who require basic computer literacy for their academic work. Young learners who want to build a strong foundation in technology. Stay-at-Home Parents: Parents looking to gain computer skills for personal projects or future employment opportunities. Small Business Owners: Entrepreneurs who need basic computer skills to manage their business operations. Individuals looking to leverage technology for business growth. Hobbyists and Lifelong Learners: People interested in learning new skills as a hobby or personal development. Those who enjoy exploring technology and want to enhance their digital literacy. Homepage: https://www.udemy.com/course/computer-basics-for-beginners-u/ Rapidgator Links Download https://rg.to/file/42a30befd85c75867729cfec5d58216a/kvynt.Computer.Basics.for.Beginners.2025.part1.rar.html https://rg.to/file/031efe2f438d9e792929a8e5401ffa37/kvynt.Computer.Basics.for.Beginners.2025.part2.rar.html Fikper Links Download https://fikper.com/KpYc39DdQX/kvynt.Computer.Basics.for.Beginners.2025.part1.rar.html https://fikper.com/F42GsKplvL/kvynt.Computer.Basics.for.Beginners.2025.part2.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Complete Personal Finance Mastery Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.22 GB | Duration: 5h 40m Personal Finance Mastery: Learn Budgeting and Saving, Investment Strategies, Retirement Planning, and ESG Investing What you'll learn Financial Literacy Basics Personal Finance Basics Retirement Planning Basics Wealth Management Basics ESG Investing Basics Requirements A stable internet connection A laptop, desktop, or any other device that allows you to access the course videos Description Master the full spectrum of personal finance with the Complete Personal Finance Mastery program. This comprehensive set of five courses is designed to provide you with the knowledge and skills to take control of your financial future, no matter where you are in your financial journey.Start with Financial Literacy Basics, where you'll learn key financial concepts such as budgeting, saving, investing, and managing debt. Build on this foundation in Personal Finance Basics, which covers essential strategies like cash flow management, goal setting, and investment planning.Prepare for the future with Retirement Planning Basics, which explores retirement accounts like 401(k)s and IRA and offers guidance on creating a personalized retirement strategy. In Wealth Management Basics, you'll gain an understanding of advanced wealth-building strategies. Moreover, you will learn how to integrate investments, tax planning, and risk management to grow and preserve your wealth.Finally, dive into ESG Investing Basics to explore the growing field of sustainable investing. Learn how to incorporate Environmental, Social, and Governance (ESG) factors into your investment strategy and understand the future of ethical finance.By completing this program, you'll have a comprehensive understanding of personal finance -enabling you to manage everyday financial decisions, plan for retirement, grow your wealth, and make responsible, sustainable investments. With Complete Personal Finance Mastery, you're equipped for long-term financial success. Individuals looking to build a solid foundation in money management, budgeting, and investing,Young professionals looking to make informed financial decisions and plan for their future,Those wanting to create a secure and effective retirement strategy,People interested in sustainable and socially responsible investing through ESG principles,Anyone aiming to deepen their financial knowledge for personal growth or career development Homepage: https://www.udemy.com/course/complete-personal-finance-mastery/ Rapidgator Links Download https://rg.to/file/92424758ac129e641855c744de4ea46b/nxywu.Udemy..Complete.Personal.Finance.Mastery.part1.rar.html https://rg.to/file/8a1af0feb537e176b34923493d6c6ca1/nxywu.Udemy..Complete.Personal.Finance.Mastery.part2.rar.html Fikper Links Download https://fikper.com/6rKLrkvSNR/nxywu.Udemy..Complete.Personal.Finance.Mastery.part1.rar.html https://fikper.com/lFbei2vFTH/nxywu.Udemy..Complete.Personal.Finance.Mastery.part2.rar.html : No Password - Links are Interchangeable