📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Learn the fundamentals of generative artificial intelligence in this beginner-friendly course (2025 edition). We’ll cover what generative AI is, how it differs from traditional AI, key architectures (GANs, VAEs, Transformers), hands-on examples, prompt engineering, and real-world applications you can build today. No prior AI or deep-learning experience required.
✅ What you’ll learn:
What is generative AI & why it matters in 2026
Core models: GAN (Generative Adversarial Network), VAE (Variational Autoencoder)
Transformer architecture and large language models (LLMs)
Text-, image-, and audio-generation use cases
Basics of prompt-engineering and building your own simple GenAI app
Ethical, bias, and safety considerations for generative systems

00:00:00 Introduction
00:01:59 What is Generative AI?
00:15:27 Generative AI Examples
00:34:06 Generative AI Tools
00:55:31 Generative AI in Marketing
01:05:20 Exploring the Ethics of Generative AI
01:12:49 What is Deep Learning
01:24:03 Generate Images Using DC-GAN
01:48:36 Midjourney
02:06:58 What are Large Language Models?
02:26:42 LLM vs SLM
02:31:42 What Is Multimodal AI?
02:48:07 What is LangChain?
03:05:22 What is RAG?
03:28:14 LLMOps: The Future of AI Development
03:34:13 Prompt Engineering For Code Generation
03:43:32 Building a Chatbot with Prompt Engineering
03:59:03 OpenAI API using Python
04:07:18 Agentic AI vs Generative AI
04:25:18 DeepSeek vs OpenAI: Who Wins the AI Race?
04:37:51 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
04:42:14 Nvidia's Latest Breakthrough in Generative AI
04:48:52 The Future of Generative AI and Job Opportunities
04:54:36 GenAI Roadmap
05:03:21 Generative AI Interview Questions


📌 By the end of this course you’ll be equipped to explore your own generative-AI experiments and skill up for deeper tools.

🔔 If you enjoyed this video, Subscribe & hit the bell icon so you won’t miss further AI-tutorials in 2026. Leave a comment if you have questions or want to see a project walkthrough.

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The complete Claude AI tutorial for 2026 — covering every major feature from the free basics to the agentic tools most people never reach. If you want to know how to use Claude AI properly, this is the full picture.
Most tutorials stop at the chat window. This one covers all three tiers: free features, Pro capabilities, and the agentic tools that let Claude work through files, write code, and take action on your behalf.

In this video you'll learn:
✅ The three Claude models and when to use each one
✅ How to set up Memory, Projects, Artifacts, and Custom Style
✅ How Connectors, Extended Thinking, and Research mode work
✅ What Claude Cowork, Claude Code, and Computer Use actually do
✅ Which plan you need and when it's worth upgrading

0:00 Intro
0:54 What Is Claude?
2:10 Level 1: Beginner Features - Claude Chat and Web Search
2:58 Artifacts Explained
3:34 Memory
4:50 Claude Projects
6:05 Custom Style
6:46 Level 2: Extended Capabilities Features
6:57 Connectors
7:47 Claude Skills
8:57 Extended Thinking
9:40 Research Mode
10:23 Level 3: Agentic Tools
10:37 Claude Cowork
11:19 Claude Code
12:23 Computer Use
12:50 Pricing Breakdown

VIDEOS MENTIONED:
📺 Claude Cowork full tutorial: https://youtu.be/CYfZBpvwrRA
📺 Claude Pricing breakdown: https://youtu.be/Sdewx3GpJ1Q
📺 Claude Skills explained: https://youtu.be/LmLu_-yc01w

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This Jenkins tutorial will help you understand what is Jenkins, issues before Jenkins came in, what is continuous integration, features of Jenkins, Jenkins architecture, and you will also see a case study using Jenkins. Jenkins is a continuous integration tool that allows continuous development, test and deployment of newly created codes. Jenkins is primarily a build and release tool, it was written originally by the community as a build and release tool. They did not target it as a continuous integration, continuous deployment or an orchestration tool, it was simply used for releasing builds to production but now Jenkins has a lot of other uses like it's a continuous integration tool. It allows developers to make sure that their environments have the exact same code as their code repositories. Now let us get started and understand how Jenkins is being used in DevOps.

Below topics are explained in this Jenkins tutorial:
1. Before Jenkins ( 00:46 )
2. Issues before Jenkins
3. What is Jenkins? ( 02:17 )
4. What is continuous integration? ( 04:10 )
5. Continuous integration tools ( 05:45 )
6. Features of Jenkins ( 08:43 )
7. Jenkins pipeline ( 10:50 )
8. Jenkins architecture ( 12:52 )
9. Jenkins case study ( 14:43 )

To learn more about DevOps, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Download DevOps career guide: https://bit.ly/2x0WShU

You can also go through the Slides here: https://goo.gl/yBWAhh

Watch more videos on DevOps: https://www.youtube.com/watch?v=glwcz5DvY88&list=PLEiEAq2VkUUJS6zkGgXeWw9l32EwRoYdR

#DevOps #DevOpsTutorial #DevOpsTraining #DevOpsTools #Chef #Jenkins #Puppet #Simplilearn

➡️ Post Graduate Program In DevOps
DevOps training course will bring out the scientist in you. You'll learn how to formalize and document development processes and create a self-documenting system. DevOps certification course will also cover advanced tools like Puppet, SaltStack, and Ansible that help self-governance and automated management at scale.

✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive upto 25 CEUs from Caltech CTME upon course completion
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Master classes taught by Caltech CTME instructor
- 8X higher interaction in live online classes conducted by industry experts
- Online Convocation by Caltech CTME Program Director
- 20+ real-


✅ Skills Covered
- DevOps Methodology
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- DevOps on Cloud
- Source Control
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- Cloud Platforms

👉Learn More at: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=WhatisJenkins-LFDrDnKPOTg&utm_medium=Description&utm_source=youtube

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There is so much being said about artificial intelligence these days. In order to understand this latest wave of AI, it is important to know how it works and why this moment is different from developments in the past.

WSJ science reporter Eric Niiler joins host Zoe Thomas for the first installment of Tech News Briefing’s special series Artificially Minded. New episodes drop every Monday in April.

0:00 AI basics
2:18 What is machine learning?
4:20 How generative AI like ChatGPT works
6:07 AI in our daily lives
7:45 How people on the street feel about AI
8:38 Why AI is a hot topic right now
9:50 Risks and rules surrounding AI

Tech News Briefing
WSJ’s tech podcast featuring breaking news, scoops and tips on tech innovations and policy debates, plus exclusive interviews with movers and shakers in the industry.

For more episodes of WSJ’s Tech News Briefing: https://link.chtbl.com/WSJTechNewsBriefing

#AI #ArtificialIntelligence #WSJ

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In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.

Timestamps
00:00 – Intro
01:22 – Claude Code Best Practices
05:31 – Claude Code Plan Mode
09:30 – The Ask User Question Tool
14:52 – Don’t start with Ralph automation (get reps first)
16:36 – What are “Ralph loops” and why plans and documentation matter most
18:41 – Ras’s Ralph setup: progress tracking + tests + linting
23:48 – Tips & tricks: don’t obsess over MCP/skills/plugins
27:44 – Scroll-stopping software wins

Links Mentioned:

Ras's Ralphy AI Agent: https://startup-ideas-pod.link/ras-ralphy

Key Points

* Your results improve fast when you treat AI agents like junior engineers: clear inputs → clean outputs.
* The biggest unlock is planning in features + tests, not broad product descriptions.
* Claude Code’s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
* If you haven’t shipped anything, don’t hide behind automation—build manually before using “Ralph.”
* Context management matters: long sessions can degrade quality, so restart earlier than you think.

Numbered Section Summaries

* The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you’ll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality.

* How To Think Like A Product Builder (Features First): Ras pushes a practical mindset: don’t describe “the product,” describe the _features_ that make the product real. If you can list the core features clearly, you can actually direct an agent to build them correctly.

* The Missing Piece: Tests Between Features: We talk about the shift from “generate code” to “build something serious.” The move is writing and running tests after each feature, so you don’t stack feature two on top of a broken feature one.

* Why Default Planning Mode Isn’t Enough: Ras shows the standard flow: open plan mode, ask Claude to write a PRD, and get a basic roadmap. The issue is it leaves too many assumptions—especially around UI/UX and workflow details.

* The Ask User Question Tool (The Planning Upgrade): This is the big unlock. Ras demonstrates how the Ask User Question Tool interrogates you with increasingly specific questions (workflow, cost handling, database/hosting, UI style, storage, etc.) so the plan becomes dramatically more precise.

* Spend Time Upfront Or Pay For It Later: We connect the dots: better planning reduces back-and-forth, reduces token burn, and prevents “I built the app but it’s not what I wanted.” The interview-style planning forces trade-offs early instead of late.

* Don’t Use Ralph Until You’ve Built Without It: Ras makes a strong case for reps: if you can’t ship something end-to-end yet, automation won’t save you—it’ll just move faster in the wrong direction. Build feature-by-feature manually first, then graduate to loops.

* Practical Tips: Context Discipline + Taste Wins: Ras shares a few operational habits: don’t obsess over tools like MCP/plugins, keep context usage under control, and restart sessions before quality degrades. We wrap on a bigger point: in 2026, “audacity + taste” is what makes software stand out.

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This video on "What is Deep Learning" provides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

Don't forget to take the quiz at 04:26!

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Simplilearn’s Deep Learning course will transform you into an expert in Deep Learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our Deep Learning course, you'll master Deep Learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as Deep Learning scientist.

Why Deep Learning?

It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. With this Tensorflow course, you’ll build expertise in Deep Learning models, learn to operate TensorFlow to manage neural networks and interpret the results. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:
1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement Deep Learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces
4. Build Deep Learning models in TensorFlow and interpret the results
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6. Troubleshoot and improve Deep Learning models
7. Build your own Deep Learning project
8. Differentiate between machine learning, Deep Learning and artificial intelligence

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MIT RES.14-004 Seven Questions About Tariffs That Everyone Should Know the Answer To, IAP 2026
Instructor: Arnaud Costinot
View the complete course: https://ocw.mit.edu/courses/re....s-14-004-seven-quest
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

It is hard to predict what US tariffs will look like in a few months, or even in a few weeks from now. But there are many questions about tariffs that can be answered through a combination of theory and data. This lecture discusses seven that everyone should know the answers to.

Question #1: What Is (Always) Bad About Tariffs? (05:16)
Question #2: What is (Potentially) Good About Tariffs? (13:22)
Question #3: Should a Country (Sometimes) Use Tariffs? (28:15)
Question #4: How Do We Know Whether (a Particular Set of) Tariffs Are Good or Bad? (43:08)
Question #5: What Was the Impact of the 2018–2019 Trade War? (46:59)
Question #6: Are Global Tariffs Unfair to the United States? (56:56)
Question #7: What Is (Really) Bad about Trade Wars? (1:02:27)

License: Creative Commons BY-NC-SA
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In this complete guide, I walk you through the best local agentic coding workflow using LM Studio and VS Code - no API keys, no cloud, no cost per token.You'll learn how to install and configure LM Studio, choose and run the right local models for coding, and connect everything to VS Code so you can use AI-powered agents directly in your editor. This is the exact setup I use for local AI coding that actually works.

Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter

🚀 Tools I Use
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Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jun26

🎞 Video Resources 🎞
Presentation in This Video: https://clever-mirage-d82v.here.now/
LM Studio Download: https://lmstudio.ai/
VSCode Download: https://code.visualstudio.com/

⏳ Timestamps ⏳
00:00 | Overview
00:46 | What are Local Models
02:30 | VRAM & Computer Hardware
05:18 | Memory & Model Speed
06:39 | How to Pick a Model
11:10 | Trying It Live
12:23 | LM Studio Setup & Model Download
22:15 | Using Local Models in VS Code
28:43 | Autocomplete Model Setup

Hashtags
#LMStudio #AICoding #AIDevTools

UAE Media License Number: 3635141

🔥 Enroll in our IOT Course: https://www.simplilearn.com/iot-certification-training-course?utm_campaign=IOT-KeaeuUcw02Q&utm_medium=DescriptionFF&utm_source=youtube

IoT architecture determines the efficiency and working of an IoT set-up. The concept behind the Internet of Things is as powerful as it is complex, and in order for the elements in the IoT puzzle to mesh together perfectly, they all have to be part of a well-thought-out structure. This is where IoT architecture enters into play. In this video, we'll understand the complete IoT structure.
Below topics are explained in this IoT architecture tutorial:
1. IoT Architecture - 0:00
2. IoT device architecture - 0:22
3. IoT reference architecture - 1:22
4. IoT standardization and design considerations - 4:04
5. IoT in smart farming - 8:40

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To learn more about IoT, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Watch more videos on IoT training: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#IoTArchitecture #InternetOfThingsArchitecture #IoTArchitectureExplained #IoTTutorial #IoTTutorialForBeginners #IoTTraining #IoTCourse #Simplilearn

What is IoT?
IoT is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data via the Internet.

Introduction to IoT Training Course:
If you’re new to the Internet of Things (IoT) and want to leverage it across business functions, then this introductory course is for you. You’ll get a glimpse into the ever-growing field of IoT, a technology that allows the intelligent exchange of data among a network of internet-connected objects.

Course Overview:
The primary objective of this Introduction to IoT Training Course is to give you insights into the bright and exciting future of the Internet of Things (IoT). The course will familiarize you with IoT concepts, their origin, impact, methodologies and tools, and how IoT is integrated into business applications to improve business results.

Key Features:
- 2 hours of in-depth eLearning
- Lifetime access to self-paced learning
- Industry-relevant course completion certificate
- Comprehensive industry-relevant use cases and case studies

Eligibility:
This IoT course caters to CXO level and middle management professionals who want to enhance business value and ROI leveraging IoT. Simplilearn’s Introduction to IoT Training Course is ideal for anyone who wants to learn the fundamentals of IoT or pursue a career in this growing field.

Learn more at: https://www.simplilearn.com/iot-certification-training-course?utm_campaign=IoT-Architecture-KeaeuUcw02Q&utm_medium=Description&utm_source=youtube

For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
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Get the iOS app: http://apple.co/1HIO5J0

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▶️ Intellipaat's Microsoft SQL Certification Training: https://intellipaat.com/micros....oft-sql-server-certi

This video on SQL interview questions and answers includes a list of 40 important questions to help you prepare for your SQL interview. You will learn the top practical and theoretical questions to help you brush up on your knowledge and get a sense of the types of questions that are frequently asked. You will work on MySQL and MS SQL Server to solve some interesting and challenging problems.

🔵 Why Learn SQL?
Structured Query Language (SQL) is a programming language that is used to communicate with and manipulate databases. Learning SQL can be useful for a number of reasons:

✅ SQL is a valuable skill for many jobs. Many companies use databases to store and organize data, and they need people who know how to work with this data using SQL.

✅ SQL is easy to learn. While it is a powerful programming language, it is also relatively easy to learn and use, especially compared to other programming languages.

✅ SQL is versatile. It can be used to work with a variety of databases, including MySQL, Oracle, and Microsoft SQL Server, making it a valuable skill for working with different types of systems.

✅ SQL is a standard. It is a standardized language that is used by many different database management systems, so learning SQL will allow you to work with a variety of different databases.

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We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.

🔵 Check out our Free SQL Full Course Video here : https://youtu.be/oTtY0xGQFd4

#SQLInterviewQuestionsAndAnswers #SQLInterviewPreparation #Intellipaat

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Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about
Get all files from the course: https://drive.google.com/drive..../folders/1m182p16V_m
My silly podcast w Jack Roberts: www.youtube.com/@stackedpod

Summary ⤵️
The end-to-end, definitive course on Claude Code for beginners! I'll take you through a full four-hour masterclass where I start by teaching you how to set up and install Claude Code, how to configure your IDE or integrated development environment (we'll use Antigravity), how to utilize your CLAUDE.md file as your project brain, how to build your first project in Antigravity using Claude Code in under 15 minutes, advanced Claude Code functionality including hooks, slash commands, and more.

I also teach you how to spin up multiple Claude Code instances and have them work on your behalf; how to parallelize work using sub-agents; how to use Git work trees to accomplish many hours of work in just a few minutes; how to conserve tokens and use context management to crush your coding and software projects; how to deploy things to the cloud using Modal and related services, and in general... how to be awesome at Claude Code!

My software, tools, & deals (some give me kickbacks—thank you!)
🚀 Instantly: https://link.nicksaraev.com/instantly-short
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Follow me on other platforms 😈
📸 Instagram: https://www.instagram.com/nick_saraev
🕊️ Twitter/X: https://twitter.com/nicksaraev
🤙 Blog: https://nicksaraev.com

Why watch?
If this is your first view—hi, I’m Nick! TLDR: I spent six years building automated businesses with Make.com (most notably 1SecondCopy, a content company that hit 7 figures). Today a lot of people talk about automation, but I’ve noticed that very few have practical, real world success making money with it. So this channel is me chiming in and showing you what *real* systems that make *real* revenue look like.

Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏

Like, subscribe, and leave me a comment if you have a specific request! Thanks.

Chapters
00:00:00 Introduction to Claude Code
00:01:07 Learning the Basics of Claude Code
00:03:44 Setting Up Claude Code
00:08:05 Terminal vs. Graphical User Interface
00:12:23 Understanding IDEs
00:13:53 Exploring Visual Studio Code
00:19:11 Getting Started with Antigravity
00:24:01 Building Your First Web App with Claude Code
00:30:29 Utilizing the CLAUDE.md File (Project Brain)
00:34:40 Approaches to Website Design in CC +Antigravity
00:41:47 Importance of Verification in AI
00:54:42 Advanced Claude Code Functionality
00:55:13 Understanding the .claude Directory
02:01:24 Adjusting the Proposal Design
02:01:55 Testing Payment Functionality
02:05:20 Leveraging GitHub for Project Management
02:06:12 Setting Up the Project
02:07:50 The Power of Automation
02:13:53 Context Management Explained
02:19:56 Understanding MCP Tools
02:27:23 Strategies for Token Management
02:35:29 Creating Skills for Efficiency
02:41:15 The Structure of Skills
02:44:39 Building a New Skill
02:50:58 Introduction to Model Context Protocol
02:58:15 Evaluating Token Usage in MCPs
03:07:57 Gmail Label Insights
03:09:07 Exploring Claude Code Plugins
03:11:08 Introduction to Sub-Agents
03:12:15 Transforming Skills into Sub-Agents
03:14:14 Scaling Email Classification
03:18:54 Creating Useful Sub-Agents
03:26:27 Understanding Agent Teams
03:32:59 Enabling and Using Agent Teams
04:02:34 Utilizing Git Worktrees
04:03:08 Deploying APIs with Modal

LangChain is a framework for developing applications powered by large language models (LLMs).
code github: https://github.com/krishnaik06/Updated-Langchain

LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.

Timestamp

00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain

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Support me by joining membership so that I can upload these kind of videos
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
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Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
►LLM Fine Tuning Playlist: https://www.youtube.com/watch?v=Vg3dS-NLUT4&list=PLZoTAELRMXVN9VbAx5I2VvloTtYmlApe3
►AWS Bedrock Playlist: https://www.youtube.com/watch?v=2maPaQutcWs&list=PLZoTAELRMXVP8-wzKPtrRST3jNCprvMZj
►Llamindex Playlist: https://www.youtube.com/watch?v=1eym7BTnuNg&list=PLZoTAELRMXVNOWh1SDXt5NFujQMOt-CWy

►Google Gemini Playlist: https://www.youtube.com/watch?v=it0l6lx3qI0&list=PLZoTAELRMXVNbDmGZlcgCA3a8mRQp5axb&pp=gAQBiAQB
►Langchain Playlist: https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar&pp=gAQBiAQB
►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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