📌Generative AI Course: Masters Program : https://www.edureka.co/masters....-program/generative-

This Generative AI full course is designed to help you understand and explore the power of AI in the most simple and practical way. Whether you're a beginner or just curious about how tools like ChatGPT, Midjourney, or other AI systems work, this course covers everything from the basics of what Generative AI is, how to communicate with AI using effective prompts, and real-life use cases in content creation, business, and productivity.
00:00:00:Introduction
00:02:06 What is Machine learning?
00:18:42 Types of Machine Learning Models
00:25:56 Mathematics for Machine Learning
02:08:43 Machine Learning Algo
02:30:38 How to select the correct predictive modeling techniques?
02:42:48 Linear Regression Algorithm
02:50:14 Logistic Regression Algorithm
03:37:27 Linear Regression Vs Logistic Regression
03:40:58 MLOps for Beginners
03:53:00 How to Become a Machine Learning Engineer?
04:02:31 Machine learning Engineer Skills
04:10:40 Machine Learning Roadmap
04:20:32 Machine Learning Tips
04:27:12 What is Generative AI?
04:40:42 Generative AI Examples
04:59:21 Generative AI Tools
05:20:46 What Are GANs?
05:33:08 Generate Images Using DC-GAN
05:57:41 Transformers In Gen AI
06:05:20 Generative AI Course - Part 1 - What is LLM?
06:25:04 Generative AI Course - Part 2 - What is LangChain?
06:42:19 Generative AI Course - Part 3 - What is RAG?
07:05:11 Prompt Engineering Explained
07:18:56 Prompt Engineering for Code Generation
07:28:16 Building a Chatbot with Prompt Engineering
07:44:10 GitHub Copilot
08:01:36 OpenAI API using Python
08:09:51 Midjourney
08:28:12 Generative AI in Marketing
08:38:42 Exploring the Ethics of Generative AI
08:46:12 Nvidia's Latest Breakthrough in Generative AI
08:52:49 DeepSeek vs OpenAI: Who Wins the AI Race?
09:05:22 The Future of Generative AI and Job Opportunities
09:11:06 GenAI Roadmap
09:19:51 Generative AI Interview Questions

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Baraka is a 1992 American non-narrative documentary film directed by Ron Fricke and produced by Mark Magidson.

The word Baraka is defined within various Eastern religions as a powerful spiritual blessing that flows throughout many different aspects of life.

The Baraka project was filmed by a only 5 person crew, over a period of 14 months, in 24 different countries, and while spanning 6 of the 7 continents.

This is a short documentary released in 2008 about the 8K scanning and restoration process undertaken with the original film stock

Baraka was shot on 70mm film and then scanned at an oversampled 8K Ultra High Resolution (8,192 pixels across the frame) with DTS-HD Master Audio 5.1 @96k/24bits. It was then output onto Blu-ray in Full High Definition 1080p at a 16:9 Widescreen aspect ratio.

The scan done at 8K was oversampled, which means the film was scanned at a higher resolution than what was necessary for the final 1080p output that they intended and produced.

The purpose of scanning at 8K though was to create a super sharp, but down-sampled version of the film scan once it was output at Full HD 1080p. Thus, the resulting image from the 8K scan is a sharper quality 1080p output than if they had just scanned the film at 1080p or at a 4K scan resolution. The 1080p output from the 8K scan is also now perhaps an even better quality version than the original film print when viewed digitally on either a 1080p or 4K display.

The unanswered question though is if an 8K scan from the 65mm native film stock would produce an even more desirable looking image at 4K than at the 1080p resolution output which they had decided upon for this production.

But without there being any 4K sample outputs available (AFAIK) from the original film print to 8K scan (in order to rule out whether or not a 4K output might introduce any undesirable flaws, artifacts, or reveal any weaknesses from the physical film print at such a high resolution scan) it remains a question that still can’t be fully addressed.

In this video they also briefly mention DVD, which may be a bit confusing, but I can confirm that the 8K scan was never output at 480p resolution and was only ever released at 1080p resolution on Blu-ray.

One can still purchase the full Baraka 1080p film on Blu-ray from the 8K scan, which also includes this short documentary titled "Restoration" as a special feature on the disc. The Blu-ray disc also includes another 1+ hour documentary titled "A Closer Look” which is a BTS documentary on the shooting and production of Baraka itself.

Thus, the full 1080p version of the Baraka film, the "A Closer Look" documentary, and this short "Restoration" documentary are all included together on a single Blu-ray disc which is available from the link here: https://amzn.to/2Ii5na4

A final note in that I do not possess any copyrights to the content of this video nor is it my intention to infringe upon any existing copyrights of this content in any way. I also have no personal connection or otherwise to the producers of this video or to the creators of the Baraka film.

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Incorporating AI has become a dominant aspect of digital transformation strategies. And there’s no hotter AI technology right now than ChatGPT. If you’re a business manager or a technical team leader, it’s time to start thinking about generative AI and its potential for your company, beyond having it write your emails.

In this webinar, join Arvind Karunakaran, Assistant Professor at Stanford University and a faculty affiliate of the Institute for Human-Centered Artificial Intelligence (HAI), to learn about the potential of Generative AI and how it might impact your work and your organization.

You Will Learn:
- What capabilities and challenges are emerging for Generative AI in a workplace
- How to cut through the hype and see the potential of this new technology for the future of work
- How you can anticipate the effects of Generative AI on your role and begin to reimagine or even reskill the work of your team or company

#chatgpt

If you’re interested in using Machine Learning and LLMs at your organization, or just want some insight into best practices, this one is for you!

In this live session with Machine Learning Upgrade author Kristen Kehrer, you’ll learn about key concepts like MLOps, LLMs, ML Infrastructure, and how all of these things can fit together in a holistic, end-to-end system.

You’ll leave with a better understanding of cutting edge Machine Learning tech and organizational best practices so you can help forge the future in data.

What You'll Learn:
1) How LLMs are being used in the world of unstructured data
2) How you can leverage MLOps techniques when building LLM-powered applications
3) Best practices for prompt writing, prompt testing, and evaluating LLMs

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

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Dive into the world of artificial intelligence with this comprehensive LLM Prompt Engineering Full Course by edureka! in collaboration with Veranda Enterprise. In this course, you'll learn how to effectively communicate with large language models like ChatGPT by mastering the art of prompt engineering. From the fundamentals of zero-shot and few-shot prompting to advanced techniques like chain-of-thought and structured prompting, this course is designed to equip you with the practical skills needed to build powerful AI-driven applications. Whether you're a developer, data scientist, or complete beginner, this full course provides real-world examples, hands-on demos, and expert tips to help you unlock the full potential of generative AI. Start your journey into prompt engineering and take your AI skills to the next level.

🔥Post Graduate Program in Generative AI and ML: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-

00:00:00 Introduction
00:01:58 What is Prompt Engineering?
00:16:11 What are Large Language Models?
00:37:10 LLM vs SLM
00:42:52 What is Generative AI?
00:57:02 Prompt Engineering For Code Generation
01:06:43 GitHub Copilot Tutorial
01:23:51 Building a Chatbot with Prompt Engineering
01:39:20 What is LangChain?
01:56:35 What is RAG?
02:19:32 LLMOps: The Future of AI Development
02:25:55 What is Agentic AI?
02:36:47 Agentic AI vs Generative AI
02:57:58 What Is Multimodal AI?
03:14:58 Prompt Engineering Roadmap
03:22:38 Top 15 Popular Gen AI Tools You Must Know
03:40:38 Generative AI Interview Questions

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📝Feel free to share your comments below.📝

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Welcome to Intellipaat's Artificial Intelligence Full Course 2024— an in-depth guide designed for absolute beginners looking to master AI and machine learning! This course covers everything you need to kickstart your journey in AI, from foundational concepts in artificial intelligence and machine learning to hands-on tutorials. Throughout this AI course for beginners, you'll explore different types of machine learning, Artificial Neural Networks, Deep Learning Fundamentals, Keras Library for AI, RNNs, GPU in Deep Learning, etc. to excel in today’s AI-driven world. Our course is ideal for anyone who wants to learn artificial intelligence from scratch and gain practical knowledge for real-world AI projects.

📖Below are the topics covered in this 'Artificial Intelligence Full Course 2024' video:
00:00:00 - Introduction to Artificial Intelligence Course
00:03:29 - What is Artificial Intelligence
00:07:17 - Why Artificial Intelligence
00:57:05 - Machine Learning Types
01:07:35 - Introduction to Deep Learning
02:45:16 - Benefits of Using Artificial Neural Network
02:50:26 - Deep Learning Frameworks
03:02:57 - Data Handling with NumPy
03:20:28 - Introduction to TensorFlow
05:23:00 - Understanding Epoch
05:50:38 - Introduction to Keras
06:43:35 - Predefined Neural Network Layers
08:43:11 - Problem With a Fully Connected Network
08:52:56 - Convolutional Neural Network
10:13:25 - Rectified Linear Units
10:45:45 - Artificial Intelligence Interview Questions

✅ Is AI hard to study?
Studying AI can be challenging, as it involves complex topics like programming, mathematics (especially statistics and linear algebra), and algorithms. However, with structured learning paths and accessible resources, it’s possible for beginners to grasp these concepts over time. Consistent practice and hands-on projects help make the learning process easier and more practical. Ultimately, while AI may seem difficult, determination and incremental learning make it achievable.

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When Geoffrey Hinton, a researcher at Google and professor emeritus at the University of Toronto, began his work in deep learning in the 1970s, he was told he would spend his life toiling away in obscurity. Deep learning is a form of artificial intelligence that mimics the human brain. Now, four decades later, his research is revolutionizing AI. He joins The Agenda to discuss his work and what kept him going.

Learn the basics of computer vision with deep learning and how to implement the algorithms using Tensorflow.

Author: Folefac Martins from Neuralearn.ai
More Courses: www.neuralearn.ai
Link to Code: https://colab.research.google.....com/drive/18u1KDx-96
YouTube Channel: https://www.youtube.com/@neuralearn

⭐️ Contents ⭐️

Introduction
⌨️ (0:00:00) Welcome
⌨️ (0:05:54) Prerequisite
⌨️ (0:06:11) What we shall Learn

Tensors and Variables
⌨️ (0:12:12) Basics
⌨️ (0:19:26) Initialization and Casting
⌨️ (1:07:31) Indexing
⌨️ (1:16:15) Maths Operations
⌨️ (1:55:02) Linear Algebra Operations
⌨️ (2:56:21) Common TensorFlow Functions
⌨️ (3:50:15) Ragged Tensors
⌨️ (4:01:41) Sparse Tensors
⌨️ (4:04:23) String Tensors
⌨️ (4:07:45) Variables

Building Neural Networks with TensorFlow [Car Price Prediction]
⌨️ (4:14:52) Task Understanding
⌨️ (4:19:47) Data Preparation
⌨️ (4:54:47) Linear Regression Model
⌨️ (5:10:18) Error Sanctioning
⌨️ (5:24:53) Training and Optimization
⌨️ (5:41:22) Performance Measurement
⌨️ (5:44:18) Validation and Testing
⌨️ (6:04:30) Corrective Measures

Building Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (6:28:50) Task Understanding
⌨️ (6:37:40) Data Preparation
⌨️ (6:57:40) Data Visualization
⌨️ (7:00:20) Data Processing
⌨️ (7:08:50) How and Why ConvNets Work
⌨️ (7:56:15) Building Convnets with TensorFlow
⌨️ (8:02:39) Binary Crossentropy Loss
⌨️ (8:10:15) Training Convnets
⌨️ (8:23:33) Model Evaluation and Testing
⌨️ (8:29:15) Loading and Saving Models to Google Drive

Building More Advanced Models in Teno Convolutional Neural Networks with TensorFlow [Malaria Diagnosis]
⌨️ (8:47:10) Functional API
⌨️ (9:03:48) Model Subclassing
⌨️ (9:19:05) Custom Layers

Evaluating Classification Models [Malaria Diagnosis]
⌨️ (9:36:45) Precision, Recall and Accuracy
⌨️ (10:00:35) Confusion Matrix
⌨️ (10:10:10) ROC Plots

Improving Model Performance [Malaria Diagnosis]
⌨️ (10:18:10) TensorFlow Callbacks
⌨️ (10:43:55) Learning Rate Scheduling
⌨️ (11:01:25) Model Checkpointing
⌨️ (11:09:25) Mitigating Overfitting and Underfitting

Data Augmentation [Malaria Diagnosis]
⌨️ (11:38:50) Augmentation with tf.image and Keras Layers
⌨️ (12:38:00) Mixup Augmentation
⌨️ (12:56:35) Cutmix Augmentation
⌨️ (13:38:30) Data Augmentation with Albumentations

Advanced TensorFlow Topics [Malaria Diagnosis]
⌨️ (13:58:35) Custom Loss and Metrics
⌨️ (14:18:30) Eager and Graph Modes
⌨️ (14:31:23) Custom Training Loops

Tensorboard Integration [Malaria Diagnosis]
⌨️ (14:57:00) Data Logging
⌨️ (15:29:00) View Model Graphs
⌨️ (15:31:45) Hyperparameter Tuning
⌨️ (15:52:40) Profiling and Visualizations

MLOps with Weights and Biases [Malaria Diagnosis]
⌨️ (16:00:35) Experiment Tracking
⌨️ (16:55:02) Hyperparameter Tuning
⌨️ (17:17:15) Dataset Versioning
⌨️ (18:00:23) Model Versioning

Human Emotions Detection
⌨️ (18:16:55) Data Preparation
⌨️ (18:45:38) Modeling and Training
⌨️ (19:36:42) Data Augmentation
⌨️ (19:54:30) TensorFlow Records

Modern Convolutional Neural Networks [Human Emotions Detection]
⌨️ (20:31:25) AlexNet
⌨️ (20:48:35) VGGNet
⌨️ (20:59:50) ResNet
⌨️ (21:34:07) Coding ResNet from Scratch
⌨️ (21:56:17) MobileNet
⌨️ (22:20:43) EfficientNet

Transfer Learning [Human Emotions Detection]
⌨️ (22:38:15) Feature Extraction
⌨️ (23:02:25) Finetuning

Understanding the Blackbox [Human Emotions Detection]
⌨️ (23:15:33) Visualizing Intermediate Layers
⌨️ (23:36:20) Gradcam method

Transformers in Vision [Human Emotions Detection]
⌨️ (23:57:35) Understanding ViTs
⌨️ (24:51:17) Building ViTs from Scratch
⌨️ (25:42:39) FineTuning Huggingface ViT
⌨️ (26:05:52) Model Evaluation with Wandb

Model Deployment [Human Emotions Detection]
⌨️ (26:27:13) Converting TensorFlow Model to Onnx format
⌨️ (26:52:26) Understanding Quantization
⌨️ (27:13:08) Practical Quantization of Onnx Model
⌨️ (27:22:01) Quantization Aware Training
⌨️ (27:39:55) Conversion to TensorFlow Lite
⌨️ (27:58:28) How APIs work
⌨️ (28:18:28) Building an API with FastAPI
⌨️ (29:39:10) Deploying API to the Cloud
⌨️ (29:51:35) Load Testing with Locust

Object Detection with YOLO
⌨️ (30:05:29) Introduction to Object Detection
⌨️ (30:11:39) Understanding YOLO Algorithm
⌨️ (31:15:17) Dataset Preparation
⌨️ (31:58:27) YOLO Loss
⌨️ (33:02:58) Data Augmentation
⌨️ (33:27:33) Testing

Image Generation
⌨️ (33:59:28) Introduction to Image Generation
⌨️ (34:03:18) Understanding Variational Autoencoders
⌨️ (34:20:46) VAE Training and Digit Generation
⌨️ (35:06:05) Latent Space Visualization
⌨️ (35:21:36) How GANs work
⌨️ (35:43:30) The GAN Loss
⌨️ (36:01:38) Improving GAN Training
⌨️ (36:25:02) Face Generation with GANs

Conclusion
⌨️ (37:15:45) What's Next

🔥Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=66r0T7PGPSA&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Professional Certification in Product Management: https://www.simplilearn.com/product-management-certification-training-course?utm_campaign=66r0T7PGPSA&utm_medium=DescriptionFirstFold&utm_source=youtube

This video on Product Management Full Course by Simplilearn will help you learn the basics of product management. This Product Management Full Course is a guide to learnignproduct management. It begins with an introduction to product management, covering the role and key responsibilities of a product manager. The course delves into essential skills, the product management roadmap, and strategies to achieve product-market fit. You’ll learn advanced topics like market research, creating user personas, MVP development, and prioritization techniques. The course also explains Agile principles, go-to-market strategies, and the differences between a product manager and a product owner. It concludes with tools, KPIs, and interview preparation tips, equipping you with everything needed to excel in a product management career.

Following are the topics covered in this Product management Full Course:

00:00:00 Introduction to Product Management Full Course
00:11:35 What is Product Management
00:11:52 What does a product manager do?
00:19:09 Product Management Skills
00:39:42 Product Management Roadmap
00:49:26 What is product market fit
01:04:45 Product sense mock interview
01:24:20 Product Manager Vs Project Manager
01:31:01 product Backlog
01:34:46 Certification in product Manager
01:43:24 PM Roles and responsibilities
02:07:37 Top 10 PM Tools
02:10:43 Certified Scrum Product Certification
02:43:36 Product Manager KPI Techniques
03:06:10 Product Manager Vs Product owner
03:15:31 Agile Principles
03:16:56 Go-T0 Market Strategy Framework
03:34:50 What is Market Research
03:35:50 How to create user persona
03:59:45 What is MVP
04:01:56 Prioritization Techniques
04:35:21 What is Scrum ?
04:37:06 Product Lifecycle Management

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#ProductManagementFullCourse #productmanagement #productmanager #simplilearn #2024

➡️About Professional Certification In Product Management
Professional Product Management Course by SP Jain School of Global Management prepares you to become a product manager via an exhaustive curriculum covering all aspects of product management. This program focuses on the latest industry trends, advancements and related industry applications taught by top product experts via live sessions.

Key Features
✅ Certificate from SP Jain School of Global Management
✅ Live sessions by SP Jain top global faculties
✅ Get access to SPJ Exec Ed Alumni benefits post program completion
✅ Leverage Generative AI as a Product Manager using tools such as ChatGPT, Google Bard, Gencraft, Midjourney, & Picsart
✅ Product management masterclass by industry experts from companies like Google, Facebook, Amazon, Microsoft and more
✅ Hands-on learning experience by solving real-life product problems via projects on Facebook, Tesla, Instagram, Netflix & Nike
✅ Product manager toolkit training✅ JIRA, Mixpanel, Google Analytics & Balsamiq
✅ Hands-on learning via case studies and assignments
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Product Strategy
✅ Product Market fit
✅ Product Ideation
✅ Rapid Prototyping
✅ Product Lifecycle Management

Learning Path
✅ UCSD PM: Induction Session for Product Management Program
✅ UCSD PM: Essentials - Introduction to Product Management
✅ UCSD PM: Essentials - Building Key Assets That Drive Product
✅ UCSD PM: Essentials - Building a Product Strategy
✅ UCSD PM: Essentials - Product Planning
✅ UCSD PM: Essentials - Working with Other Teams
✅ UCSD PM: Essentials - Hypothesis Validation
✅ UCSD PM: Essentials - Agile Development Process
✅ UCSD PM: Essentials - Building Prototypes
✅ UCSD PM: Essentials - Product Analytics
✅ UCSD PM: Essentials - Business Fundamentals
✅ UCSD PM: Essentials - Portfolio Assessment
✅ UCSD PM: User Experience Research for Product Managers
✅ UCSD PM: Product Design for Product Managers
✅ UCSD PM: Product Marketing for Product Managers
✅ UCSD PM: Introduction to Software Development Basics for Product Managers
✅ UCSD PM: Product Management Tools
✅ UCSD PM: Product Management Capstone Project
Electives:
✅ Masterclass by UC San Diego Division of Extended Studies
✅ UCSD PM: Product Management Masterclass by Industry Expertst

🔥Learn More about Product Management Professional Program: https://www.simplilearn.com/product-management-training-course-online?utm_campaign=66r0T7PGPSA&utm_medium=Description&utm_source=youtube

𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
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🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
00:00:00 Introduction
00:01:31 What is Data Science?
00:03:26 Who is a Data Scientist?
00:35:36 Top 10 Reasons to Learn Data Science
00:40:12 Data Science Basics
01:33:28 Data Life Cycle
01:37:03 Statistics and Probability
03:09:33 Hypothesis Testing Statistics
04:02:26 What is Machine Learning?
04:19:21 Linear Regression
04:45:59 Logistic Regression
05:34:29 Decision Tree Algorithm
06:19:50 Random Forest
06:47:02 KNN Algorithm
07:19:27 Naive Bayes Classifier
07:39:45 Support Vector Machine
08:05:14 K- Means Clustering Algorithm
08:25:22 Apriori Algorithm Explained
08:55:04 Reinforcement Learning
09:16:30 What is Deep Learning?
09:40:24 Introduction to Keras
10:11:51 Data Science Roadmap
10:21:05 Data Science vs Data Analytics
10:31:05 Data Science for Non Programmers
10:59:00 Data Science Interview Questions

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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microso....ft-sql-server-certif
This Edureka SQL Full Course video will cover all the topics of Structured Query Language (SQL) starting from scratch. This SQL tutorial for beginners is great for beginners who want to learn SQL and for professionals who want to brush up on their SQL skills. The following topics are covered in this SQL Full Course Tutorial:
00:00:00 Introduction
00:02:23 Agenda
00:02:35 What is SQL
00:16:32 Data & Database
00:23:58 Basic SQL Queries
00:50:51 Normalization in SQL
01:01:44 Triggers in SQL
01:11:23 Advantages & Disadvantages of Triggers
01:12:33 Joins in SQL
01:33:28 Functions in SQL
02:18:19 Stored procedure
02:43:02 User-Defined Functions
03:02:13 SQL Vs MySQL
03:07:36 SQL Vs NoSQL
03:39:41 SQL Interview Question & Answers
04:31:17 SQL For DataScience
05:06:27 PostgreSQL
05:17:00 SQL Command Catogories
05:24:31 ER Diagram
05:43:34 Keys in Database
05:46:53 Constraints in Database
05:53:44 Normalization
05:59:26 DML COmmands
06:18:36 Operators
06:47:54 Joins
06:51:52 Views
07:06:19 DCL Commands
07:15:23 SQL Server
07:21:28 Features of SQL Server
07:36:50 DDL Commands
08:30:07 Operators
08:55:50 Exception handling
08:59:55 SQL Server Interview Question & Answer

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/



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Learn how to build and deploy a SaaS using NextJS 13.4, DrizzleORM, OpenAI, Stripe, TypeScript, Tailwind, and Vercel. You will gain expertise in the following areas:
- Leveraging NextJS 13's cutting-edge App Router.
- Managing Payments seamlessly through Stripe.
- Harnessing the beauty of Shadcn and the power of Tailwind CSS.
- Unleashing the capabilities of OpenAI's API for Language Model usage.
- Interacting with databases with the efficiency of ORMs.

Resources
🔗 GitHub Repo: https://github.com/elliott-chong/chatpdf-yt
🔗 Vercel AI SDK: https://vercel.com/blog/introd....ucing-the-vercel-ai-
🔗 Timestamp 3:20:00 /api/chat/route.ts file https://pastebin.com/crLipeHK

Course developed by @elliottchong

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro & Demo
⌨️ (0:09:53) Set Up NextJS
⌨️ (0:11:59) Set Up Shadcn
⌨️ (0:15:45) Set Up ClerkAuth
⌨️ (0:21:52) Home Page
⌨️ (0:33:22) DrizzleORM
⌨️ (0:50:15) File Upload Component
⌨️ (0:57:11) Set Up AWS S3
⌨️ (1:18:12) AI RAG Explanation
⌨️ (1:30:39) React Query Set Up
⌨️ (1:45:11) Set Up Pinecone DB
⌨️ (2:32:27) Chat Side Bar
⌨️ (2:47:42) PDF Viewer
⌨️ (2:50:33) Chat Component ( Vercel AI SDK )
⌨️ (3:08:02) Pinecone OpenAI Get Context
⌨️ (3:26:19) Persist Chat Logs to DB
⌨️ (3:34:16) Stripe Integration
⌨️ (4:14:59) Deploy and Outro

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

New Year Music Mix 2025 ♫ Best Music 2024 Party Mix ♫ Remixes of Popular Songs

🎄 Listen on Spotify:
https://sndl.ink/soundlink/OgVZZ6FXvm2T2dRYOSFRM

🎄 Immerse yourself in the joyful and spirited atmosphere of Christmas as we present a carefully curated selection of the best Christmas songs from various eras.

"We Wish You A Merry Christmas" and other timeless classics come together to create a harmonious blend of holiday cheer. Whether you're preparing for a festive gathering, decorating your home, or simply enjoying the magic of Christmas, our playlist is designed to add the perfect musical touch to your celebrations.

🎅 Experience the magic of the season with melodies that have stood the test of time and continue to bring joy to hearts around the world. From traditional carols to contemporary hits, our compilation captures the essence of Christmas, making it a memorable and heartwarming experience for everyone.

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👉 Merry Christmas to all the music lovers. This playlist is perfect for setting the mood for the holiday season and includes all the Christmas songs you know and love. Enjoy!
May the magic of Christmas fill your heart with warmth and love. Merry Christmas!
👉 Follow me:

💌 Contact:
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#christianmusic #merrychristmas #christmasmedley #christmassongs #feliznavidad