🔥 PMP Certification Training Course: https://www.simplilearn.com/project-management/pmp-certification-training?utm_campaign=2May2023PMPCourseUnboxing&utm_medium=DescriptionFirstFold&utm_source=youtube
This video on PMP Certification Course By Simplilearn is led by experts who will help you prepare and pass the PMP exam by Project Management Institute(PMI). This course covers the best practices in project management covered in the 7th Edition of the PMBOK Guide and is aligned with the latest PMP Examination Content Outline. The PMP certification is a globally recognized professional certification in project management. Simplilearn's PMP Certification Training has many features that make it the ideal course to help you prepare for the PMP certification exam. You'll receive 35 contact hours, which is a requirement for taking the PMP exam. You'll have access to digital materials from PMI, which is the governing body for PMP certification.

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#ProjectManagement #ProjectManager #LearnProjectManagement #ProjectManagementTraining #SimplilearmPMP #ProjectManagementCourse #Simplilearn

✅ About PMP Certification Training Course
Simplilearn's PMP training course covers core topics essential for a project management professional. It includes topics such as emerging trends, new technologies and practices, and core competencies required from a project manager. With an emphasis on strategic and business knowledge, the course also highlights the role of a project manager.

✅Key Features
- 35 contact hours
- Access to Digital materials from PMI
- 8 simulation test papers (180 questions each)
- Experiential learning through case studies

✅ Eligibility Criteria
The PMP certification is an essential professional requirement for senior project manager roles across all industries. This course is best suited for: Project Managers, Associate/Assistant Project Managers, Team Leads/Team Managers, Project Executives/Project Engineers, Software Developers, and Any professional aspiring to be a Project Manager.

✅ Learn more at: https://www.simplilearn.com/project-management/pmp-certification-training?utm_campaign=2May2023PMPCourseUnboxing&utm_medium=Description&utm_source=youtube

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🔥 Introduction to Robotic Process Automation Course: https://www.simplilearn.com/introduction-to-robotic-process-automation-course?utm_campaign=RPAUiPathFC3feb2023-t8GD483JBSA&utm_medium=Descriptionff&utm_source=youtube

This RPA UiPath full course will help you understand what RPA is, and the working of UiPath. UiPath is an advanced RPA tool that enables you to design automation processes visually through diagrams. If you wish to become a UiPath developer, then you're in the right place!

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The following are the topics covered in this video -
0:00 - RPA UiPath Full course
0:02:12 - What is RPA?
0:08:43 - Top 10 Reasons to learn RPA
00:15:45 - RPA Examples
00:26:25 - Blueprism vs UiPath vs Automation Anywhere
00:36:46 - What is UiPath?
00:59:36 - UiPath Installation
1:04:37 - UiPath Tutorial
1:38:29 - What is UiPath Orchestrator
2:01:30 - What is a Framework and its purpose?
2:19:55 - What is Web Automation?
2:43:07 - What is Excel Automation?
2:56:48 - Who is an RPA developer?
3:03:48 - UiPath Interview Questions

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What is UiPath?
UiPath is an advanced RPA tool that enables you to design automation processes visually through diagrams. UiPath provides complete end-to-end automation, calling it “hyper-automation.”

About Simplilearn Robotic Process Automation (RPA) course:
If you want to expand your expertise in advanced intelligent applications, then this Introduction to Robotic Process Automation (RPA) course will put you on the fast track. RPA is one of the hottest and fastest-growing technologies for improving real-time business operations and processes. This course will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.

What are the benefits of this course?
Robotic Process Automation (RPA) is a technology that automates huge quantities of redundant tasks by applying artificial intelligence (AI). RPA can be used for processing transactions, manipulating data, triggering responses, and communicating with other digital systems. RPA has applications in a plethora of industries including insurance claims processing, invoice processing, customer feedback analysis, onboarding of employees, HR operations, and much more. More on the RPA market:
- The global market for RPA software and services is expected to grow to $1.2 billion by 2021 at a compound annual growth rate of 36 percent.
- One wine producer increased its order accuracy from 98% to 99.7% while reducing costs There are 3000+ RPA job postings in India and the US.

What are the course objectives?
The primary objective of this Introduction to RPA training course is to give you a glimpse into the bright and exciting future of Robotic Process Automation and to give you an overview of the fundamental methodologies and tools that will help you employ RPA on the job. You’ll learn the key RPA tools and workflows used in intelligent automation, steps for implementing RPA in your enterprise, and case studies that will provide innovative best practices.

Upon successful completion of our Introduction to Robotics Process Automation online training course, you will gain a fair understanding of RPA and related business applications. By the end of the course, you will be able to understand-
1. RPA and it's business applications
2. The impact that RPA creates with significant ROI
3. Various tools available in the market and their right fit
4. Organization and management of a real-life workflow automation project

Who should take this course?
Simplilearn’s Introduction to Robotic Process Automation course is best suited for:
1. CXOs
2. Team Leads
3. Business Analysts
4. Solution Architects

👉Learn more at: https://www.simplilearn.com/robotic-process-automation-using-uipath-training-course?utm_campaign=RPAUiPathFC3feb2023&utm_medium=Description&utm_source=youtube

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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his discussion on factor analysis and expectation-maximization steps, and continues on to discuss principal component analysis (PCA).

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

How to Summarize a Book or a PDF file with GPT-3 and Python

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In today's video, we're going to be showing you how to use GPT-3 to easily summarize a book or paper in PDF form.

Let's face it, sometimes we don't have the time to read a 200 page, 73,000 word document from start to finish. But with GPT-3, you can quickly and easily extract the most important information and summarize it into just 230 words.

This can be a great way to create a step by step guide, research notes, blog posts, or even mid-journey prompts.

In this video, we'll be using the book "Deep Work" by Cal Newport as an example. This book is 190 pages and 73,000 words, so it can be a daunting task to get through it all.

But with the help of GPT-3 and a Python script with the OpenAI API, we'll show you how to automate the process and make summarizing a breeze.
So if you're ready to learn how to use GPT-3 to summarize a book, let's get started!

00:00 Intro Summarize a book or pdf with GPT-3
00:17 Summarizing with GPT-3 and Python Script
04:21 Deep Work Summary with Midjourney V4

https://www.allabtai.com

In this video I am going to show you how to tailor (train) the OpenAI Davinci model responses for your chatbot using JavaScript.

00:00 Intro
00:07 Preparing the Data
01:11 Installing OpenAI
02:35 Getting the API Key
02:51 Uploading the data to OpenAI
05:00 Creating a Fine Tune Job
06:16 Checking the progress of the Fine Tune Job
09:20 Get list of Fine Tune Models
10:30 Testing the model
12:00 Cancel a Fine Tune Job
12:41 Delete a Fine Tune Model
13:03 Outro

🔥 Caltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=25April2023AWSBootcamp2023&utm_medium=DescriptionFF&utm_source=youtube
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This AWS Bootcamp 2023 will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon redshift, amazon ECS, amazon route 53, amazon vpc, AWS CloudFront, AWS sagemaker, AWS autoscaling, and AWS elastic beanstalk), the future of AWS and a demonstration on deploying, in the end, we’ll also be discussing AWS certification and AWS interview questions for beginners and advanced level. This AWS Solutions Architect Training 2023 video is suitable for those individuals who aspire to become AWS Certified Solution Architects. However, let move ahead and understand what AWS actually is and what are the services that AWS provides to an organization.

AWS Bootcamp Content:
00:00:00 AWS Bootcamp 2023
00:03:57 AWS in 5 Minutes
00:08:49 What is AWS?
00:40:30 Cloud Computing Services
00:00:00 AWS EC2
00:59:03 AWS S3
02:16:32 AWS IAM
00:00:00 AWS Cloud Formation
03:17:45 AWs ECS
03:54:56 AWS Route 53
04:21:05 AWS Beanstalk
05:44:45 AWS Sagemaker
06:09:40 AWS Cloud Front
06:24:15 AWS Autoscaling
06:42:11 AWS Redshift
07:04:00 AWS vs Azure
07:11:48 AWS vs GCP
07:19:43 AWS vs Azure vs GCP
07:32:23 Kubernetes on AWS
08:11:23 How to become Solution Architect
08:20:25 How to become a Cloud Practitioner
08:46:27 Top 10 Resons to choose AWS
08:55:35 AWS Interview Questions

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➡️ Caltech Cloud Computing Bootcamp
This Caltech Cloud Computing Bootcamp, helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on Microsoft Azure, and AWS.

✅ Key Features
- 40+ Hands-On Projects and Integrated Labs
- Online Convocation by Caltech CTME Program Director
- Capstone Project in 4 Domains
- Simplilearn Career Service helps you get noticed by top hiring companies
- Caltech CTME Bootcamp Certificate
- Receive up to 15 CEUs from Caltech CTME
- Masterclasses taught by Caltech CTME instructor
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services

✅ Enroll Course Now: https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=25April2023AWSBootcamp2023&utm_medium=Description&utm_source=youtube

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*Note: 1+ Years of Experience Recommended to Sign up for Below Programs ⬇️
🔥 Post Graduate Program In Data Engineering: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=26August2023DataEngineerCrashCourse2023&utm_medium=Descriptionff&utm_source=youtube
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This Data Engineer Full Course video explains What Is Big Data, How to become a Data Engineer, skills required for Data engineering jobs, Big Data applications, introduction to Hadoop, Hadoop ecosystem, Spark, and top Hadoop interview questions. So, let's get started with this Data Tutorial For Beginners!

Below are the topics covered in this video
00:00:00 Data Engineer Crash Course
00:03:44 What is Big Data?
00:07:32 Big Data Tools
00:10:17 Data Engineer Roadmap
00:24:24 Data Engineer Certifications
00:29:03 Top skills for Data Engineer
00:35:03 Reasons to become data engineer
00:41:32 Hadoop Ecosystem
00:58:12 Spark

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✅ About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
- Real Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

✅ Tools Covered
- Amazon EMR
- Amazon RedShift
- MongoDB
- Python
- Apache spark
- Data Bricks
- SQL
- and more...

👉Enroll now: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=26August2023DataEngineerCrashCourse2023&utm_medium=Description&utm_source=youtube
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Finally understand pointers in C in this course for absolute beginners. Pointers are variables that store the memory address of another variable. They "point" to the location of data in memory. With a bunch of examples, this course demystifies pointers and their various uses, covering topics such as passing by reference vs. value, void pointers, arrays, and more.

✏️ Course created by @onaecO

⭐️ Contents ⭐️
(0:00:00) Introduction
(0:00:39) What is a computer eli5 CPU, RAM, bytes
(0:08:04) Data Types
(0:13:31) Intro to processes
(0:16:44) process memory layout
(0:19:17) Variables in memory
(0:23:01) Naive change_value program
(0:28:05) Change_value with pointers
(0:33:03) The classic swap
(0:34:05) Why declaration and dereference have the same syntax for pointers?
(0:38:39) Advantages of passing by reference va passing by value
(0:45:26) Why do pointers to different data types have the same size?
(0:47:49) Given that pointers have all the same size, why do we need a pointer type?
(0:58:16) void pointers are confusing
(1:00:14) why malloc is handy and more on void*
(1:09:09) Are arrays just pointers?
(1:25:00) Array Decay into a pointer
(1:32:59) why array decay is useful?
(1:37:49) arr[5] == 5[arr]
(1:39:04) pointers to pointers: **argv
(1:47:11) *argv[] or **argv?
(1:52:41) pointer to functions
(1:59:02) use case with pointers to functions

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 南宮千影
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Improve your Python and Pygame skills by building the classic pong game, but this time with extra features. This beginner's tutorial is a great way to start learning how to create engaging games with unique mechanics.

✏️ Course created by @SMDS_Studio

💻 Code: https://github.com/SMDS-Studio..../Building-a-New-crea

⭐️ Contents ⭐️
(00:00) Intro
(01:09) Agenda of the course
(02:04) Traditional pong
(26:09) Creative angles
(30:21) Smash element
(38:03) Flash element
(41:10) Ball cloning
(51:51) Paddle cloning
(1:01:55) End screen element

🎉 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

--

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

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

🔥 Become A Data Scientist Today: https://taplink.cc/simplilearn_data_science

Data Science Course 2023 by simplilearn is dedicated to help aspiring data scientists with Data Science Full Course for Beginners 2023 that covers the major technical and theorotical data science concepts along side practical demonstrations to get a good learning experience. This Simplilearn video covers the following:

00:00:00 Data Science In 5 Minutes
00:04:14 Data Science Roadmap 2023
00:11:51 Data Science Life Cycle
00:28:53 Top 10 Data Science Certifications for 2022
00:40:40 Data Science Tutorial
01:22:35 AI vs ML vs DL vs Data Science - Difference Explained
01:28:46 Data Science With Python
02:21:50 Top 5 Python Libraries For Data Science
02:36:56 R Programming For Beginners
02:52:07 Statistics For Data Science
03:11:58 Probability Density Function With Example
03:35:49 Data Visualization In R
04:08:52 Population And Sample In Statistics Example
04:15:48 Types Of Distribution In Statistics
04:39:52 Mean Squared Error
04:44:40 Machine Learning Algorithms
05:54:10 Skewness And Kurtosis And Moments
05:59:18 Random Forest Algorithm - Random Forest Explained
06:43:20 Naive Bayes Classifier
07:24:45 Support Vector Machine - How Support Vector Machine Works
07:50:13 Bayes Theorem
07:54:59 What Is Anova?
08:02:27 What Is Correlation?
08:05:43 Types of Correlation
08:09:41 Correlation vs Regression
08:16:27 Data Science Interview Questions

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➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2023 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. PL/SQL is a procedural language developed especially to enhance the caliber of SQL statements without altering the original SQL syntax. SQL program units are compiled by the Oracle Database server and stored inside the database.

Topics we will be covering:-
0:00:00 SQL Tutorial For Beginners
0:00:25 Introduction to SQL
0:03:32 What is SQL Tutorial?
0:15.33 What is DBMS?
0:32:30 Installation of MySQL on PC
0:40:10 SQL Syntax, Data types, Commands
1:00:32 What are SQL Operators?
1:23:15 What are SQL Expressions?
1:34:02 How to create a database in MySQL?
1:40:44 What is SQL Table Tutorial?
1:57:39 SQL Select Statement tutorial
2:19:41 What is SQL Clause?
2:44:29 SQL Insert Statement tutorial
2:53:48 SQL Update Statement tutorial
3:01:12 SQL Delete Statement tutorial
3:10:21 What is SQL Join?
3:51:37 What are Keys in SQL?
4:04:53 What are Aggregate Functions?
4:21:12 What are Scalar Functions?
4:37:10 SQL Group by and Order by
4:57:08 How to use Where Clause in SQL?
5:01:24 SQL Where vs Having Clause
5:21:15 What are Subqueries?
5:31:27 How to Create a user defined Function in SQL?
5:42:51 What is Commit and Rollback in SQL?
5:58:35 SQL Like Clause Tutorial
6:11:52 How to find Nth highest Salary?
6:25:58 WebSQL Tutorial
6:41:00 Cast and Convert Function in SQL
6:57:21 What is View In SQL?
7:17:03 SQL Interview Questions for Beginners

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⏩ Check out the Design Thinking training videos: https://www.youtube.com/watch?v=pFq1pgli0OQ&list=PLEiEAq2VkUUKL3yPbn8yWnatjUg0P0I-Z

#SQLTutorialForBeginners #SQLFullCourse #SQLCourseForBeginners #SQL #LearnSQLForBeginners #SQLForBeginners #SQLTutorial #SQLCourse #SQLTraining #SQLStructuredQueryLanguage #Simplilearn

What is SQL?
SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. You can also permit users to perform specific tasks on tables, procedures, and views. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Post Graduate Program certificate and Alumni Association membership
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- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=20May2024LGLoopEvening1-MtYglLPSfGw&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688"

🔥AI Engineer Specialist Program : https://l.linklyhq.com/l/1yhn3
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=19AugCHATGPTFC&utm_medium=Descriptionff&utm_source=youtube
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⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

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➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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While much of the world is focused on large language models, our Salesforce AI Research teams are looking at smaller models that offer unique advantages in speed, cost, and accessibility. In this episode, learn what Small Language Models are, how they work and how they can be used for task-specific situations like personal agents on wearable devices like smart watches and robotics.

Learn more about Agentforce: https://www.salesforce.com/agentforce/
Learn more about AI Agents: https://www.salesforce.com/agentforce/ai-agents/

The AI Research Lab - Explained gives you a sneak peak of cutting-edge AI techniques developed by Salesforce’s very own AI Research group. Along the way, we’ll demystify complex concepts and share real-world insights—all from the forefront of research.

#Salesforce #Agentforce

Subscribe to Salesforce’s YouTube Channel: http://bit.ly/SalesforceSubscribe

Learn more about Salesforce: https://www.salesforce.com
Facebook: https://www.facebook.com/salesforce
Twitter: https://www.twitter.com/salesforce
Instagram: https://www.instagram.com/salesforce
LinkedIn: https://www.linkedin.com/company/salesforce

About Salesforce:
Improve customer relationships with Salesforce, the #1 AI CRM where humans with agents drive customer success together. Our integrated platform pairs your unified customer data with trusted agents that can assist, take action autonomously, and hand off seamlessly to your employees in sales, service, marketing, commerce, and more.

Disclaimer: This video is for demonstration purposes only. All account data depicted is fictional and does not contain personally identifiable information (PII). This content is intended solely to illustrate product functionality in a simulated environment.

🧪AI Agents Labs for Free: https://kode.wiki/3Wh4DZ6

Learn everything about AI agents from scratch in this comprehensive tutorial. No prior knowledge required. We'll take you from zero to building production-ready AI systems with hands-on labs.

🎯 What You'll Learn:
• AI Fundamentals - LLMs, tokens, embeddings, and context windows
• LangChain - Simplify AI development with pre-built components
• Prompt Engineering - Zero-shot, few-shot, and chain-of-thought techniques
• Vector Databases - Semantic search with ChromaDB and Pinecone
• RAG (Retrieval Augmented Generation) - Build intelligent document search
• LangGraph - Create multi-step AI workflows and agents
• MCP (Model Context Protocol) - Connect AI to external tools

🔧 Hands-On Labs Include:
✓ Making your first OpenAI API calls
✓ Building semantic search engines
✓ Creating RAG systems for document retrieval
✓ Developing multi-agent workflows
✓ Integrating external tools with MCP

Perfect for developers, data scientists, and anyone wanting to understand modern AI development. Follow along with free labs and build a real-world AI assistant that searches 500GB of documents in under 30 seconds.

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00:00 - Introduction to AI Agents
00:40 - How LLMs work in real time?
04:56 - Embeddings & Vector Representations
05:56 - How LangChain works?
10:12 - Practice Labs - Your First AI API Call
14:57 - Practice Labs - LangChain
17:57 - Prompt Engineering Techniques
21:21 - Practice Labs - Master Prompt Engineering
24:46 - Vector Databases Deep Dive
31:27 - Practice Labs - Build Semantic Search Engine
35:15 - RAG (Retrieval Augmented Generation)
38:14 - Practice Labs - RAG Implementation
42:14 - LangGraph for AI Workflows
45:51 - Practice Labs - Build Stateful AI Workflow
48:51 - Model Context Protocol (MCP)
51:56 - Practice Labs - Advanced MCP Concepts
55:21 - Conclusion

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

December 5, 2025
This lecture covers:
• Recap
• Trending topics
• Closing thoughts

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:01:12 Transformer
00:06:35 Transformer-based models & tricks
00:11:17 Large Language Models
00:15:05 LLM training
00:24:09 LLM tuning
00:29:41 LLM reasoning
00:38:37 Agentic LLMs (RAG, tool calling)
00:44:09 LLM evaluation
00:48:57 Vision Transformer
01:04:02 Diffusion-based LLMs
01:23:38 Closing thoughts
01:50:16 Thank you!

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques
Github Links
Langchain : https://github.com/krishnaik06..../Langchain-V1-Crash-
Langgraph: https://github.com/krishnaik06..../Agentic-LanggraphCr
RAG: https://github.com/krishnaik06/RAG-Tutorials
Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb
Deep Agents: https://drive.google.com/file/....d/1SVjvgqvKfF-FPAIqp
Guardrails : https://github.com/krishnaik06..../Langchain-V1-Crash-/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb
LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb
LLM Gateways: https://github.com/krishnaik06..../Langchain-V1-Crash-/blob/main/llm_gateway_tutorial.ipynb

Timestamp
00:00:00 Introduction
00:02:31 Langchain Course
02:35:12 Langraph Course
05:02:29 RAG Course
07:10:43 Vectorless RAG
08:02:11 Deep Agents
08:45:43 Guardrails
09:22:55 LLM Evaluation
10:30:25 LLM Gateways
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Learn from us visit https://krishnaik.in/liveclasses