𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
🔥Data Science with Python Certification Course: https://www.edureka.co/data-sc....ience-python-certifi
🔥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

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG

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📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

🔥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

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What is agentic AI and how can developers apply agentic AI in their applications? Welcome back to season 2 of Real Terms for AI with Googlers Aja Hammerly and Jason Davenport. In this video, Aja and Jason discuss agentic workflows, how agents are different from workflows, and when to use an agentic workflow. Follow along with code snippets in the Github link and help implement these concepts in many use cases.

Chapters:
0:00 - Intro
0:43 - What does agentic mean?
2:08 - Agentic workflow examples
3:28 - When to use agentic workflow or AI agent
4:33 - Wrap up

Watch more Real Terms for AI → https://goo.gle/AIwordsExplained
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #GenerativeAI

Speakers: Aja Hammerly, Jason Davenport
Products Mentioned: Gemini, Gemma

🔥 Cyber Security Expert Master's Program(Discount code - YTBE15): https://www.simplilearn.com/cyber-security-expert-master-program-training-course?utm_campaign=CyberSecurityscribe&utm_medium=DescriptionFirstFold&utm_source=youtube
This Simplilearn video on Cyber Security In 7 Minutes will explain what is cyber security, how it works, why cyber security, who is a cyber security expert, and what are the different types of cyberattacks with examples. Now, let's begin this cyber security video!

The topics covered in this video on Cyber Security are:
What Is a Cyberattack? 00:00:00
What Is Cyber Security? 00:01:11
Malware Attack 00:01:38
Phishing Attack 00:01:53
Man-in-the-middle Attack 00:02:13
Password Attack 00:02:37
Cyber Security Practices 00:02:51
Impact of a Cyber Attack 00:03:39
Advanced Persistent Threat (APT) 00:04:02
Denial of Service Attack & DDoS 00:04:18
SQL Injection Attack 00:04:35
Cyber Security Career 00:04:48
Quiz 00:05:44
Cyber Security Future 00:06:09

🔥 Enroll for FREE Cyber Security Course & Get your Completion Certificate: https://www.simplilearn.com/learn-cyber-security-basics-skillup?utm_campaign=CyberSecurityscribe&utm_medium=Description&utm_source=youtube

Start learning today's most in-demand skills for FREE. Visit us at https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=CyberSecurity&utm_medium=Description&utm_source=youtube
Choose over 300 in-demand skills and get access to 1000+ hours of video content for FREE in various technologies like Data Science, Cybersecurity, Project Management & Leadership, Digital Marketing, and much more.

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

⏩ Check out the Cyber Security training videos: https://bit.ly/3cMmCxj

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✅ What Is Cyber Security?
Cyber Security refers to the method of protecting programs, networks, computer systems, and their components from unauthorized digital access and attacks. It consists of a set of techniques that are used to protect the integrity of networks. Cyber Security is implemented to prevent cyberattacks.

✅ About Advanced Executive Program In Cybersecurity

This Advanced Executive Program in Cybersecurity will help you develop expertise in defensive cybersecurity, application security, malware analysis, ethical hacking, etc. In partnership with IIIT Bangalore and NPCI, the CyberSecurity program provides you with a deep understanding needed to spot the opportunities for disruption in the cybersecurity industry.

✅ Key Features

- Advanced Executive Program in Cybersecurity completion certificate from IIIT Bangalore
- Validate your learning with a Transcript from IIIT Bangalore
- Virtual Internship Certificate from NPCI
- Masterclasses from top faculty of IIIT Bangalore
- Lifetime access to self-paced videos
- Build skills to get job ready and advance your career
- 8+ hands-on projects aligned to various industry verticals
- 8X higher interaction in live online classes conducted by industry experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered

- Ethical Hacking
- Penetration Testing
- Defensive Cybersecurity
- Cryptography
- Ransomware Analysis
- Malware Analysis
- Enterprise Security
- Network Concepts
- Threat Hunting
- Application Security

Learn more at: https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=CyberSecurityscribe&utm_medium=Description&utm_source=youtube

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🔥DevOps Engineer Master Program (Discount Code: YTBE15): https://www.simplilearn.com/devops-engineer-masters-program-certification-training?utm_campaign=?utm_campaign=WhatisJenkins-LFDrDnKPOTg&utm_medium=DescriptionFF&utm_source=youtube
🔥Post Graduate Program In DevOps: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=WhatisJenkins-LFDrDnKPOTg&utm_medium=DescriptionFF&utm_source=youtube
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
- Continuous Integration
- Continuous Delivery
- Configuration Management
- Containerization
- DevOps on Cloud
- Source Control
- Deployment Automation
- 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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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai

This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF). For each component, it explores common practices in data collection, algorithms, and evaluation methods. This guest lecture was delivered by Yann Dubois in Stanford’s CS229: Machine Learning course, in Summer 2024.

Yann Dubois
PhD Student at Stanford
https://yanndubs.github.io/

About the speaker: Yann Dubois is a fourth-year CS PhD student advised by Percy Liang and Tatsu Hashimoto. His research focuses on improving the effectiveness of AI when resources are scarce. Most recently, he has been part of the Alpaca team, working on training and evaluating language models more efficiently using other LLMs.

To view all online courses and programs offered by Stanford, visit: http://online.stanford.edu

Chapters:
00:00 - Introduction
00:10 - Recap on LLMs
00:16 - Definition of LLMs
00:19 - Examples of LLMs
01:16 - Importance of Data
01:20 - Evaluation Metrics
01:33 - Systems Component
01:41 - Importance of Systems
01:47 - LLMs Based on Transformers
01:57 - Focus on Key Topics
02:00 - Transition to Pretraining
03:02 - Overview of Language Modeling
04:17 - Generative Models Explained
05:15 - Autoregressive Models Definition
06:36 - Autoregressive Task Explanation
07:49 - Training Overview
08:48 - Tokenization Importance
10:50 - Tokenization Process
13:30 - Example of Tokenization
16:00 - Evaluation with Perplexity
20:50 - Current Evaluation Methods
24:30 - Academic Benchmark: MMLU

Learn Calculus 1 in this full college course.

This course was created by Dr. Linda Green, a lecturer at the University of North Carolina at Chapel Hill. Check out her YouTube channel: https://www.youtube.com/channe....l/UCkyLJh6hQS1TlhUZx

This course combines two courses taught by Dr. Green. She teaches both Calculus 1 and a Calculus 1 Corequisite course, designed to be taken at the same time. In this video, the lectures from the Corquisite course, which review important Algebra and Trigonometry concepts, have been interspersed with the Calculus 1 lectures at the places suggested by Dr. Green.

⭐️ Prerequisites ⭐️
🎥 Algebra: https://www.youtube.com/watch?v=LwCRRUa8yTU
🎥 Precalculus: https://www.youtube.com/watch?v=eI4an8aSsgw

⭐️ Lecture Notes ⭐️
🔗 Calculus 1 Corequisite Notes: http://lindagreen.web.unc.edu/....files/2020/08/course
🔗 Calculus 1 Notes: http://lindagreen.web.unc.edu/....files/2019/12/course

⭐️ Course Contents ⭐️
(0:00:00) [Corequisite] Rational Expressions
(0:09:40) [Corequisite] Difference Quotient
(0:18:20) Graphs and Limits
(0:25:51) When Limits Fail to Exist
(0:31:28) Limit Laws
(0:37:07) The Squeeze Theorem
(0:42:55) Limits using Algebraic Tricks
(0:56:04) When the Limit of the Denominator is 0
(1:08:40) [Corequisite] Lines: Graphs and Equations
(1:17:09) [Corequisite] Rational Functions and Graphs
(1:30:35) Limits at Infinity and Graphs
(1:37:31) Limits at Infinity and Algebraic Tricks
(1:45:34) Continuity at a Point
(1:53:21) Continuity on Intervals
(1:59:43) Intermediate Value Theorem
(2:03:37) [Corequisite] Right Angle Trigonometry
(2:11:13) [Corequisite] Sine and Cosine of Special Angles
(2:19:16) [Corequisite] Unit Circle Definition of Sine and Cosine
(2:24:46) [Corequisite] Properties of Trig Functions
(2:35:25) [Corequisite] Graphs of Sine and Cosine
(2:41:57) [Corequisite] Graphs of Sinusoidal Functions
(2:52:10) [Corequisite] Graphs of Tan, Sec, Cot, Csc
(3:01:03) [Corequisite] Solving Basic Trig Equations
(3:08:14) Derivatives and Tangent Lines
(3:22:55) Computing Derivatives from the Definition
(3:34:02) Interpreting Derivatives
(3:42:33) Derivatives as Functions and Graphs of Derivatives
(3:56:25) Proof that Differentiable Functions are Continuous
(4:01:09) Power Rule and Other Rules for Derivatives
(4:07:42) [Corequisite] Trig Identities
(4:15:14) [Corequisite] Pythagorean Identities
(4:20:35) [Corequisite] Angle Sum and Difference Formulas
(4:28:31) [Corequisite] Double Angle Formulas
(4:36:01) Higher Order Derivatives and Notation
(4:39:22) Derivative of e^x
(4:46:52) Proof of the Power Rule and Other Derivative Rules
(4:56:31) Product Rule and Quotient Rule
(5:02:09) Proof of Product Rule and Quotient Rule
(5:10:40) Special Trigonometric Limits
(5:17:31) [Corequisite] Composition of Functions
(5:29:54) [Corequisite] Solving Rational Equations
(5:40:02) Derivatives of Trig Functions
(5:46:23) Proof of Trigonometric Limits and Derivatives
(5:54:38) Rectilinear Motion
(6:11:41) Marginal Cost
(6:16:51) [Corequisite] Logarithms: Introduction
(6:25:32) [Corequisite] Log Functions and Their Graphs
(6:36:17) [Corequisite] Combining Logs and Exponents
(6:40:55) [Corequisite] Log Rules
(6:49:27) The Chain Rule
(6:58:44) More Chain Rule Examples and Justification
(7:07:43) Justification of the Chain Rule
(7:10:00) Implicit Differentiation
(7:20:28) Derivatives of Exponential Functions
(7:25:38) Derivatives of Log Functions
(7:29:38) Logarithmic Differentiation
(7:37:08) [Corequisite] Inverse Functions
(7:51:22) Inverse Trig Functions
(8:00:56) Derivatives of Inverse Trigonometric Functions
(8:12:11) Related Rates - Distances
(8:17:55) Related Rates - Volume and Flow
(8:22:21) Related Rates - Angle and Rotation
(8:28:20) [Corequisite] Solving Right Triangles
(8:34:54) Maximums and Minimums
(8:46:18) First Derivative Test and Second Derivative Test
(8:51:37) Extreme Value Examples
(9:01:33) Mean Value Theorem
(9:09:09) Proof of Mean Value Theorem
(0:14:59) [Corequisite] Solving Right Triangles
(9:25:20) Derivatives and the Shape of the Graph
(9:33:31) Linear Approximation
(9:48:28) The Differential
(9:59:11) L'Hospital's Rule
(10:06:27) L'Hospital's Rule on Other Indeterminate Forms
(10:16:13) Newtons Method
(10:27:45) Antiderivatives
(10:33:24) Finding Antiderivatives Using Initial Conditions
(10:41:59) Any Two Antiderivatives Differ by a Constant
(10:45:19) Summation Notation
(10:49:12) Approximating Area
(11:04:22) The Fundamental Theorem of Calculus, Part 1
(11:15:02) The Fundamental Theorem of Calculus, Part 2
(11:22:17) Proof of the Fundamental Theorem of Calculus
(11:29:18) The Substitution Method
(11:38:07) Why U-Substitution Works
(11:40:23) Average Value of a Function
(11:47:57) Proof of the Mean Value Theorem for Integrals

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

-------------------------------------------------------------------------------------------------
Support me by joining membership so that I can upload these kind of videos
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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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This video on "What is Artificial Intelligence" will give you a brief overview of artificial intelligence as a technology in just 5 minutes. We will start with a minor introduction to artificial intelligence in which we will know what is artificial intelligence with the help of examples. Moving ahead we will see what are the uses of AI, what is strong AI and what is weak AI. We will warp up this video by making you understand the major difference between AI ML and Deep Learning which will be followed by the future scope of artificial intelligence.

By the end of this video, you will understand:
00:00 What is Artificial Intelligence?
00:37 Uses of AI
01:48 What is AI
02:02 Weak AI
02:18 Strong AI
03:13 Difference between AI ML and Deep learning
05:00 Future of Artificial Intelligence

Don't forget to take the quiz at 04:10!

🔥 Enroll for FREE Artificial Intelligence Course & Get your Completion Certificate: https://www.simplilearn.com/learn-ai-basics-skillup?utm_campaign=Artificial-Intelligence-In-5-Minutes-ad79nYk2keg&utm_medium=DescriptionFirstFold&utm_source=youtube

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#AritificialIntelligence #WhatIsArtificialIntelligenceExactly #AritificialIntelligenceTutorial #WhatIsAi #WhatIsArtificialIntelligence #AiIn5Minutes #AITutorial #AITutorialForBeginners #AritificialIntelligenceBasics #AI #Simplilearn

What is Artificial Intelligence?
Artificial Intelligence or AI is the combination of algorithms used for the purpose of creating intelligent machines that have the same skills as a human being. It uses machine learning and deep learning techniques to build complex systems.

✅ 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.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
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- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- 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 Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

✅ Tools Covered
- Python
- Keras
- TensorFlow
- Matplotlib
- Scikit Learn
- Django
- Flask
- OpenCV

✅ Eligibility Criteria

For admission to this Post Graduate Program in AI and ML, candidates should have:
- 2+ years of work experience preferred
- A bachelor's degree with an average of 50% or higher marks
- Basic understanding of programming concepts and mathematics

👉 Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Artificial-Intelligence-In-5-Minutes-ad79nYk2keg&utm_medium=Tutorials&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Mathematics for Machine Learning' teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics.

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp

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---------------------------Edureka Masters Programs-------------------------

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About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------
Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

In recent years, the spotlight in AI has primarily been on large language models (LLMs) and emerging large multi-modal models (LMMs). Now, building on these tools, a new paradigm is emerging with the rise of AI agents and agentic reasoning, which are proving to be both cost-effective and powerful for building numerous new applications. As AI continues to evolve, data across all industries, particularly unstructured data such as text, images, video, and audio, is becoming more critical than ever. In this keynote session from BUILD 2024, Andrews Ng, Founder and Executive Chairman of Landing AI, explores the rise of AI, agents, and the growing role of unstructured data. He also discusses how this convergence will shape automation and application building across industries.

Andrew Ng will be a featured speaker at Snowflake Dev Day 2025. Join us on June 5 in San Francisco. Registration is free and open now: https://www.snowflake.com/en/summit/dev-day

Watch the Snowflake Summit 2024 Opening Keynote featuring Snowflake CEO Sridhar Ramaswamy and OpenAI CEO Sam Altman, moderated by Sarah Guo, founder and managing partner of Conviction here: https://youtu.be/gJf39VG87O8

Check out Andrew Ng speaking about AI agentic workflows and their potential for driving AI progress here:
👉 https://www.youtube.com/watch?v=q1XFm21I-VQ

Register to watch more BUILD on-demand here:
👉 https://www.snowflake.com/build/

Enroll in the "Introduction to Generative AI with Snowflake" course on Coursera:
👉 http://coursera.org/learn/intro-generative-ai-course-snowflake/?utm_medium=institutions&utm_source=snowflake&utm_campaign=yt-promo

❄Join our YouTube community❄ https://bit.ly/3lzfeeB

Learn more about Snowflake:
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🔥 ITIL® 4 Foundation Certification Training Course: https://www.simplilearn.com/it-service-management/itil-foundation-training?utm_campaign=ITIL-951xIKQmols&utm_medium=DescriptionFirstFold&utm_source=youtube
In this ITIL Course Video, we'll cover everything you need to know about ITIL. We'll talk about what is ITIL, its process, service lifecycle and much more So without further ado, let's jump right in!

00:00 ITIL 4 Foundation Complete Course Introduction
02:10 What is ITIL
08:35 ITIL Foundation Concepts
44:50 ITIL Certification
49:35 ITIL Job Roles and Responsibility

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

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#ITIL4FoundationCourse #ITIlTutorialForBeginners #ITILCertificationTraining #ITILTrainingVideos #ITILFoundation #ITILTrainingVideos #ITIL4Foundation #ITILCertification #ITILCourse #ITIL #ITILV4 #Simplilearn

ITIL 4 Foundation is the most widely acknowledged entry-level ITIL certification available for IT professionals. This newest training for the ITIL framework is designed to introduce learners to the management of modern IT-enabled services, including key concepts and common language used in the ITIL services lifecycle, how lifecycle stages are linked, processes involved, and best practices for improving the quality of IT services across the IT organization.

What are the career benefits of this ITIL® 4 Certification?
ITIL® certification is one of the primary requirements for professionals who want to learn and understand the fundamental concepts of ITIL frameworks to enhance the quality of IT Service Management. ITIL certified professionals can earn 40 per cent more than their non-certified peers. This ITIL certification is best suited for:
- IT executives
- IT architects
- Business operation managers
- IT audit managers
- IT planners and consultants
- Database administrators
- ITSM trainers
- Service delivery professionals
- Quality analysts
- Application management and development teams
- IT managers and support managers

What are the course objectives?
ITIL® 4 is the latest release of the ITIL framework, designed to provide a more practical viewpoint to the ITIL lifecycle with best practices from other complementary platforms such as Agile, DevOps and Lean. The objective of this course is to provide a foundational level of understanding of the ITIL 4 framework, key elements, concepts and terminologies associated with ITIL service lifecycle, and how it has evolved to adopt modern technologies and operational processes. The course covers all necessary concepts in the service management framework to support candidates studying for the ITIL 4 Foundation Certification Exam.

What skills will you learn?
Upon completion of this ITIL Certification training you will learn:
- Concepts, key principles and process models required to pass the ITIL 4 Foundation exam.
- How ITIL principles can help an individual understand and apply IT service management in their organization.
- How to improve customer experience and ITSM efficiency with the help of ITIL tools and techniques.
- The purposes and key terms of 15 ITIL practices.
- Industry best practices for deploying IT services.

Learn more at: https://www.simplilearn.com/it-service-management/itil-foundation-training?utm_campaign=ITIL-951xIKQmols&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=Skillup-RPA&utm_medium=DescriptionFirstFold&utm_source=youtube

This video, titled "What is RPA?" gives a basic overview of RPA and its ideas. We learn about what RPA is, why it is being widely used across industries, how it works, the results of using RPA, and finally, its growth estimates over the last few years. So, let's jump right in.
0:00 - Start
0:50 - What is RPA?
1:51 - Working of RPA
2:46 - Advantages of RPA
3:29 - Applications of RPA
3:42 - Future of RPA
4:23 - Quiz


Don't forget to take the quiz at 04:24! Comment below what you think is the right answer, to be one of the 3 lucky winners who can win Amazon vouchers worth INR 500 or $10! (Depending on your location). What are you waiting for? Winners will be announced on May 27th, 2020.

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

⏩ Check out the RPA training videos: https://bit.ly/2Sy2zeO

#RPA #RoboticProcessAutomation #RPADeveloper #WhatIsRPA? #RPAExplained #RPATutorialForBeginners #Simplilearn #WorkingofRPA #RPAtools #RPAApplications

What is RPA?
Robotic Process Automation (RPA) is the use of software with Artificial Intelligence and Machine Learning capabilities to handle high-volume, repetitive tasks that previously required humans to perform. Some of these tasks include addressing queries, making calculations, maintenance of records, and performing transactions.

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 an advanced 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 per cent.
- 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=RPA&utm_medium=Description&utm_source=youtube

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

September 23, 2025
This lecture covers:
1. Class introduction
2. Examples of deep learning projects
3. Course details

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

🔥Edureka DevOps Training: https://www.edureka.co/devops-....certification-traini
This Edureka Git & GitHub Full Course video will help you understand and learn the fundamentals of Git & GitHub. This Git & GitHub Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Git & GitHub. Below are the topics covered in this Git & GitHub Full Course Tutorial:
0:00 Introduction
3:08 What is Version Control
6:05 Why Version Control
8:20 Centralized vs Distributed
9:14 What is GIT
12:08 How does it work?
15:12 GIT Installation & Setup
18:25 Git Operations & Commands
1:04:47 The need for GitHub
1:07:17 What is GitHub?
1:16:36 Create a Repository
1:22:03 Create a Branch
1:24:50 Make a commit
1:29:15 Open and merge Pull request
1:33:36 GitHub case study
1:38:32 Show a Remote Repository
1:38:42 Rename a Remote Repository
1:39:12 Remove a Remote Repository
1:42:16 Removing a Branch from Remote Repository
1:44:26 Renaming a Branch from Remote Repository
1:53:23 File Locations Pre & Post Commit
1:54:23 Compare Remote Repos
1:59:28 Compare Local Git Branch with Remote
2:13:13 What is a workflow
2:14:18 Git Flow vs GitHub Flow
2:15:38 Issues with Git Flow
2:17:58 GitHub Flow
2:25:30 Branching in GIT
2:30:22 Git Storage Strategy
2:34:29 How GIT internally merges branches
2:39:11 How to switch between branches & commits
2:42:02 Deleting Branches
2:44:32 Merge Conflicts
2:50:16 Git Stashing
2:57:41 What is Git Rebase
2:58:43 Why Rebase?
3:03:08 Rebase Commands
3:08;27 Rebase Configuration Options
3:09:27 Pitfalls of Rebase
3:11:32 What is Git merge?
3:11:57 Pros and cons of merge and rebase
3:13:57 When to use merge and rebase?
3:15:27 Similarities between merge and rebase
3:15:45 Differences between merge and rebase
3:18:35 Conclusion - Which one is better?
3:19:40 Summary of most used Git Commands
3:49:00 What is Jenkins?
3:50:35 Why Jenkins and Git are used together?
3:52:30 Demo
4:03:12 Introduction to CI-CD
4:05:42 CI-CD Pipeline
4:08:39 GitLab CI-CD
4:09:04 How to write YAML File
4:10:54 Why use Gitlab CICD?
4:12:09 Building a CI-CD Pipeline using GitLab
4:20:01 Why GitOps?
​4:21:36 What is GitOps?
4:25:41 Principles of GitOps
4:28:11 How does GitOps work?
​4:30:56 Advantages of GitOps
4:33:41 Beginner Interview Questions
4:45:18 Intermediate Interview Questions
​4:59:17 Advanced Interview Questions

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About the Course
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT

For Online Training and Certification, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more informat

📌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
00:02:00 What is Generative AI?
00:15:29 Generative AI Examples
00:34:09 Generative AI Tools
00:55:33 What Is Artificial Intelligence?
01:06:15 Types Of Artificial Intelligence
01:16:30 What is Deep Learning
01:27:43 TensorFlow Explained
01:52:29 Convolutional Neural Network
02:13:05 Artificial Neural Network
02:44:56 Recurrent Neural Networks
03:13:50 Keras
03:38:59 What is LLM?
03:58:43 What Are GANs?
04:11:04 Transformers in Gen AI
04:18:43 Prompt Engineering Explained
04:32:28 Prompt Engineering for Code Generation
04:41:47 How to Become a Prompt Engineer?
04:46:51 Building a Chatbot with Prompt Engineering
05:03:01 GitHub Copilot
05:20:26 What is LangChain?
05:37:42 What is RAG?
06:00:34 Generate Images Using DC-GAN
06:25:08 Midjourney
06:43:30 OpenAI API using Python
06:51:44 Generative AI in Marketing
07:02:14 The Future of Generative AI and Job Opportunities
07:07:58 Nvidia's Latest Breakthrough in Generative AI
07:14:36 DeepSeek vs OpenAI: Who Wins the AI Race?
07:27:09 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
07:31:32 DeepSeek Training Cost
07:37:01 Exploring the Ethics of Generative AI
07:44:31 What is Agentic AI?
07:54:30 Agentic AI vs Generative AI
08:12:31 Dangers of AI
08:35:17 Artificial Intelligence Project Ideas
08:48:54 Top 10 Benefits Of Artificial Intelligence
09:00:42 GenAI Roadmap
09:09:27 Top 5 Generative AI Career Opportunities
09:25:40 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.

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