AI & ML FOUNDATION TRAINING BY MR. VIMAL DAGA
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Session 1 - Difference Between Human and Machine Intelligence | Introduction to AI & Decision-Making | Importance of Data Exploration & Pattern Recognition | Predicting Outcomes Using Historical Data (86:35)
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Session 1_1 - Human Emotions vs Machine Calculations | Practical Understanding of Machine Learning Models | Using Python & Anaconda for Model Training | Exploring Linear Regression with scikit-learn | Building Predictive Models from Real-World Datasets (208:19)
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Summary Session 1
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Session 2 โ Understanding AI Through Human-Like Learning | Pattern Recognition & Decision-Making | Regression for Real-World Modeling | Coefficient Tuning to Improve Accuracy | Loss Functions & Gradient Descent | Supervised Learning Concepts | Intro to Deep Learning & y = mx + c + ฮต Example (432:04)
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Summary Session 2
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AI Machine Learning Foundation Session By Mr. Vimal Daga_GMT20250412-081025 (270:59)
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Session 3 - Building ML Models Without Deep Math | Discovering X-Y Relationships | Understanding Weights & Biases | Gradient Descent for Optimization | Multiple Linear Regression with Real Dataset | One-Hot Encoding | Avoiding Dummy Variable Trap | Interpreting Coefficients for Business Insights (69:27)
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Summary Session 3
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Session 4 โ Importance of Model Evaluation | Train-Test Split | Predicting ลถ vs Actual Y | One-Hot Encoding | Removing Dummy Variable Trap | Using train_test_split | Evaluating with Rยฒ Score | Accuracy ~96% with Linear Regression on Real-World Data (55:31)
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Summary Session 4
Python Enablement Training
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Session 0. Introduction to Python | Python usage | Latest Version of Python | Comparision of Python with different languages (101:30)
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Summary - Session 0
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1. Operating system | Install python using anaconda | Coding | Syntax Error | function | Associative memory | Variable and reference | Different Ram and Storage Device | Read Entire Ram | python interpreter, REPL | List | Index | append() | len() | Slicing Operator | Boolean operator | Type() | dir (136:22)
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Summary - Session 1
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2. Save source code | libraray | modules | functions | pip command use | Import keyword | Pyttsx3 library | Text To Speech | Send whatsapp, sms & email | Array | list | one dimension data and Vector | Metrix | Data Structure Planning | slicing in nested list | Numpy Library | Row & coloum operations (147:05)
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Summary - Session 2
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3. Data types in python | type casting | how a program run | space complexity and time complexity | how to check memory usage of a variable | use of sys module | what is tuple | difference between list and tuple | swap operation in python | multi value assignment of variable | f- string (117:39)
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Summary - Session 3
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4. Why do you code optimisation | Split and join operation on string | What is iteration| what is the loop and why we need it | For loop | Block of code | Indentation| what is the ETLย operations (106:33)
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Summary - Session 4
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5. Python Operators | Relational /Comparison Operators(not equal != | equal to == | greater than >, less than <) | How to think before writing a code | Assignment Operator (=) | Decision control statement ( if, if else, if elif.....else) | input syntax | Logical Operator |ย Truthย Table (99:57)
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Summary - session 5
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6. Escape Sequences (/n,/t) | Menu based Program | Integrating earlier given task program | Declaration of multiple sentences as a String (90:02)
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Summary - Session 6
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7. Python Live Training By the World Record Holder Mr Vimal Daga | 31st Oct. 2023 (108:20)
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Summary - Session 7
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8. Algorithm | Function | Function Call | Single Responsibility Principle (SRP)| pre build function Defferent : print() vs return() | parameterized / input Function | name argument | default argument (81:33)
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Summay -Session 8
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9. Python Live Training By the World Record Holder Mr Vimal Daga 2nd Nov. 2023 (89:54)
Agentic AI Training:
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Session 1 - Agentic AI and Its Importance | Practical Automation Project Using n8n | Connecting Forms Dynamically to Google Sheets | Setting Up Flexible Workflows Without Manual Intervention | Integrating OpenAIโs ChatGPT for Intelligent Understanding | Using Agents for Live Database-Driven Answers (144:59)
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Summary Session - 1
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Session 2 โ Understanding Generative AI and LLMs | Text, Image, Audio, Video Creation with Generative AI | Exploring GPT-4, LLaMA & Other LLMs | Open-Source vs Closed-Source Models | Local Deployment with Ollama | Offline LLMs for Privacy & Customization | Intro to Agentic AI (87:45)
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Summary Session 2
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Session 3 โ Hands-On with LLMs Using OpenAI and Python | Open vs Public LLM Models | Installing OpenAI Library & Generating API Keys | Using openai.ChatCompletion for Chat | Message Roles & Costs | Intro to Ollama | Downloading LLaMA Models | Offline LLMs with Local API Keys (87:56)
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Summary Session 3
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Session 5 - Using Multiple Cloud AI Models in One App | Integrating Gemini, Anthropic, DeepSeek | Secure API Key Management via .env & dotenv | Building Reusable UI Components | Using Gemini & Anthropic with Python | Structuring Prompts & API Calls | Tiered Access and Credit-Based Plans (160:19)
