📌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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📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4

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In this Simplilearn video on Business Analyst Full Course In 2 Hours, you will look at topics like the importance of business analysts, their skills and their duties, the business analysis process, demo on business analysis with excel, and business analyst interview questions. So, let's get started with this business analyst training for beginners!
The topics covered in this business analyst full course are:
Introduction 00:00:00
Need for a Business Analyst 00:01:18
Who Is a Business Analyst 00:05:33
Business Analyst Responsibilities 00:11:50
Business Analyst Skills 00:14:01
Business Analyst Certification 00:25:06
Business Analyst Roadmap 00:30:29
Business Analysis Knowledge Areas 00:31:37
Agile Methodology 00:33:22
Scrum Methodology 00:35:01
Business Analyst Career 00:37:55
Business Analyst Tools 00:38:40
Business Analysis With Excel 00:39:08
Business Analyst vs Data Analyst 01:19:04

Dataset Link - https://drive.google.com/drive..../folders/1v4uqpSHmf5

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#BusinessAnalystFullCourse #BusinessAnalystTraining #BusinessAnalystTrainingForBeginners #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn

Who Is A Business Analyst?
A business analyst understands the business problems and identifies the solutions that will maximize the organization's value to its stakeholders. A business analyst is an individual who works closely with the technology team to improve the quality of the services being delivered. They ensure the customer needs are correctly interpreted and translated into application. They possess programming, SQL, and business intelligence skills to deliver data-driven solutions.

Post Graduate Program in Business Analysis:
Get your business analysis career started with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.

Program Details:
Jumpstart your career as a Business Analysis Professional with this comprehensive curriculum covering the concepts of business analysis tools and techniques, statistics fundamentals, interaction with databases using SQL, and data visualization using excel, Power BI, and Tableau.

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✅ Purdue Post Graduate Program Certification
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✅ Case Studies from Harvard Business Publishing Education
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✅ 170+ hours of Applied Learning
✅ 11+ hands-on projects
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In this Automate Excel using ChatGPT using Python, we will explore ChatGPT by OpenAI, which interacts conversationally. This ChatGPT Excel Automation will help you automate Excel, giving simple commands to ChatGPT. The ChatGPT tutorial for beginners will help you understand working with ChatGPT.

Here we start with:
00:00:00 Automate Excel using ChatGPT using Python
00:00:30 Quiz Question
00:01:02 Python Skillup Course
00:01:31 Introduction to ChatGPT
00:03:00 Login to ChatGPT
00:08:51 Concatenating Excel files using ChatGPT
00:20:00 Using SUM and AVERAGE functions using ChatGPT in Excel
00:29:45 Adding Prefix to phone numbers in Excel Sheet
00:36:42 Replacing value name from a group of excel workbooks
00:52:20 Group Data using Columns in Excel
01:10:13 Change Excel file name using Python using ChatGPT
01:13:58 Simplilearn Course

Link to excel files: https://github.com/abhisarahuj....a/automate_excel-_si

✅The artificial intelligence research firm OpenAI created ChatGPT, a chatbot based on AI. The chatbot reacts in a human-like manner and can grasp simple language. It is based on the language model GPT-3.5. The prototype of the chatbot was unveiled on November 30, 2022.

#ChatGPT #ExcelAutomationUsingChatGPT #AutomationTutorial #ExcelAutomationTutorial #PythonExcel #ChatGPTExcel #ChatGPTAutomation #AutomationUsingChatGPT #AI #Simplilearn

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
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In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.

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

Links Mentioned:

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

Key Points

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

Numbered Section Summaries

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

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

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

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

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

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

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

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

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND MIC ON SOCIAL
X/Twitter: https://x.com/Rasmic
Youtube: https://www.youtube.com/@rasmic

E - mail = [email protected]
@[email protected] @Yellowy Coder @Codiscos @freeCodeCamp.org @Cody'sLab @xCodeh @Machine Learnia @DeepLearningAI @DeepLearning.TV @Deep Learning School @DeepLearning_by_PhDScholar @MrBeast @Coder Coder @노마드 코더 Nomad Coders @GitHub @GitHub Training & Guides @Machine Learning with Phil @Smitha Kolan - Machine Learning Engineer
@Iggy Azalea @Self Learner @Conoce conmigo@Code Logic




While there have been recent advances in few-shot image stylization, these methods fail to capture stylistic details that are obvious to humans. Details such as the shape of the eyes, the boldness of the lines, are especially difficult for a model to learn, especially so under a limited data setting. In this work, we aim to perform one-shot image stylization that gets the details right. Given a reference style image, we approximate paired real data using GAN inversion and finetune a pretrained using that approximate paired data. We then encourage the GAN to generalize so that the learned style can be applied to all other images.

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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!

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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
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- Access to hackathons and Ask Me Anything sessions from IBM
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- 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

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

🔥 Prompt Engineering with LLM Course: https://www.edureka.co/prompt-....engineering-generati
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

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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This DevOps tutorial video will help you understand what is DevOps, how DevOps came to being, stages and tools of DevOps and implementation of DevOps. DevOps is a software engineering culture that unifies the development and operations team, under an umbrella of tools to automate every stage. The DevOps approach automates the service management for the support of operational objectives and improves understanding of the layers in the production environment stack. In turn, this helps prevent and resolve production issues. Now, lets deep dive into this video and understand what is DevOps actually, DevOps tools and the stages involved in DevOps.

Below topics are explained in this DevOps tutorial:
1. What is DevOps?
2. DevOps Stages
3. DevOps Tools
4. Quiz - ( 02:56 )

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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.

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- Caltech CTME Post Graduate Certificate
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This video," Data Analyst Interview Questions And Answers" by Simplilearn, will take you through the most frequently asked Data Analytics Interview Questions. Data analysis is one of the trending jobs of the 21st century. This video covers all the important questions that would help you crack a data analyst interview. It has a set of basic questions related to the data analytics field. It also has a collection of beginner, intermediate and advanced-level questions based on MS Excel, SQL, Tableau, and Python. It would enrich your theoretical and practical knowledge of data analytics. What you will learn
0:00 Data Analyst Interview Questions And Answers
00:34 What is the difference between Data Mining and Data Profiling?
01:38 Define the term Data Wrangling
02:40 What are the common problems that data analysts encounter during analysis?
03:09 What are the various steps involved in any analytics project?
04:03 Which technical tools have you used for analysis and presentation purposes?
04:50 What are the best practices for data cleaning?
05:34 How can you handle missing values in a dataset?
06:54 Define normal Distribution
07:39 What is Time Series analysis?
08:31 How is joining different from blending in Tableau?
09:16 How is overfitting different from underfitting?
10:01 In MS Excel, A numeric Value can be treated as text value if it precedes with
10:29 What is the difference between COUNT, COUNTA, COUNTBLANK and COUNTIF in Excel?
11:29 Explain how VLOOKUP works in Excel?
13:21 How do you subset or filter data in SQL?
15:39 What is the difference between WHERE and HAVING clause in SQL?
17:58 Write the Python code to create an employees dataframe and display the head and summary of it.
18:46 How will you select the Department and Age columns from an Employees dataframe?
19:22 What is the criteria to say whether a developed data model is good or not?
20:08 What is the significance of Exploratory data analysis?
21:09 Explain descriptive, predictive, and prescriptive analytics.
23:01 What are the different types of sampling techniques used by data analysts?
24:45 What are the different types of Hypothesis testing?
25:42 Describe univariate, bivariate, and multivariate analysis.
29:56 write a SQL query to find the record with fourth highest market price
30:52 find the total and average market price for each currency
33:36 Create a dual axis chart in Tableau to present Sales
34:36 Design a view in Tableau to show State wise Sales
40:39 How do you write a stored procedure in SQL?
43:01 What is the difference between Tree maps and Heat maps in Tableau

⏩ Check out the Data Analytics Playlist: link: https://bit.ly/2SbDfuY

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✅ About Data Analyst Master's Program

This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.

✅ Why become a Data Analyst?

The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

✅ Tools Covered

- Microsoft Excel
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This video will brief you about Simplilearn's FREE Cyber Security Course For Beginners. If you want to learn cyber security, enrolling in this free course will prove highly beneficial. So, let's get started and look at the details of Simplilearn's free cyber security course for beginners and how it will help you become a cyber security expert!

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Get prepared to start your cyber security career with us! Simplilearn’s SkillUp provides the best introduction to the lucrative field of cyber security! The best part about it is that it is free! Yes! You can start your cyber security learning journey free of cost and get a course completion certificate for the same! Let me take you through the details of our free cyber security basics course!

Simplilearn’s skill up a course on Introduction to Cyber Security targets beginners who aspire to become cyber security professionals. The topics covered in this free course are cyber security fundamentals, mitigation, network security controls, BYOD security testing, IS governance, risk management, incident management, and disaster recovery, to name a few. This program helps you get acquainted with the current cyber security structure and relevant security tools.

This free course is 3 hours long, and all the modules in it are self-paced video lessons, with 90 days of access to the entire course. This allows you to learn at your own pace anytime anywhere. After completing this course, you are awarded a course completion certificate by Simplilearn. There are no prerequisites to enrol in this free course. Each of you who has a zeal for learning cyber security can take up this course, irrespective of your experience. Experienced industry experts have specially designed this well-structured beginners course to enable a smooth learning journey. SkillUp’s introductory course is also recommended for those who have some knowledge of cyber security but are looking to reskill and upskill themselves with the critical cyber security concepts.

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This Post Graduate Program in Cyber Security is designed to equip you with the skills required to become an expert in the rapidly growing field of Cyber Security. This cyber security course aims to help you stay abreast all the latest trends in cyber security as well. This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing your data, including risk analysis and mitigation, cloud-based security, and compliance. You will receive foundational to advanced security skills through industry-leading certification courses that are part of the program.

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This video on Leadership vs Management will help you understand the various differences between a Leader and a Manager. What skills are required for Leadership and Management? What are the Roles and Responsibilities when it comes to Leadership vs Management and Why both Leadership and Management are one of the top qualities required in any organization.

In this video, we are going to take a deep dive into the most commonly used words in the business environment, Leadership, and Management.

Here are some key differences between Leadership and Management -
➡️ Vision: Leaders are considered visioners. They set the pathways to excel the organizational growth. They always examine where their organization stands, where they want to go, and how they can reach there by involving the team in paving a future path. In comparison, managers set out to achieve organizational goals by implementing processes, such as budgeting, organizational structuring, and staffing. Managers' vision is bound to the implementation strategies, planning, and organizing tasks to reach the objectives set out by leaders.

➡️ Organizing Vs Aligning: Managers pursue objectives through coordinated actions and tactical processes. Leaders, on the other hand, are less focused on how to organize people and more on finding ways to align and influence them. They accomplish this by helping individuals envision their role in a larger context and the future growth potential their efforts can provide.

➡️ Questioning: A leader asks the questions "what" and "why," whereas a manager focuses on the questions "how" and "when."

➡️ Position Vs Quality: You are a leader if you act in a way that inspires others to do their best. It makes no difference what your title or position is. A manager, on the other hand, is a job title that comes up with a predefined set of obligations.

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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.

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#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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This video on 5S Methodology will take you through everything you need to know about the workplace organization method, 5S. This video also covers a number of different topics like the basics of the 5S methodology, its benefits and the process of 5S, like Sort, Set in order, Shine, Standardize, and Sustain. So now, let's jump in and learn about the 5S methodology.

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This Simplilearn video on How To Introduce Yourself In Interview will brief you on how you can craft a well-prepared self-introduction. Here, we will provide you with an outline of how to get going with a smart self-introduction that will help you grab your dream job. So, let's begin!

The topics covered in this video on How To Introduce Yourself In Interview are:
Introduction 00:00:00
What the Interviewer Wishes to See in Your Self-Introduction 00:00:51
Self-Introduction Outline 00:01:46
Tip 1: Start Your Introduction With a Greeting 00:01:58
Tip 2: Brief About Your Educational Background 00:02:21
Tip 3: Speak About Your Current Job 00:02:47
Tip 4: Hobbies and Passion 00:03:34
Tip 5: Closing Statement 00:03:50
Additional Self-Introduction Tips 00:04:31

Don't forget to participate in the contest at 03:26!

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This Introduction to Artificial Intelligence Full Course by Simplilearn provides the best tutorial to learning AI. This AI Full Course begins with an Introduction to Artificial Intelligence that provides a complete overview of AI and its applications. The AI tutorial then proceeds by explaining what artificial intelligence is, followed by the AI engineer roadmap and insights into the future of artificial intelligence. You’ll learn core concepts like deep learning, machine learning, and the differences between AI, ML, and DL. The course highlights Gen AI, advanced tools like OpenAI Strawberry, and explains how to run Lama privately. You'll also explore LLM benchmarking, multimodal AI, and technologies like Transformers and LangChain. Key topics like AI bias, reinforcement learning, and recurrent neural networks are covered in-depth. Practical insights include AI coding tools, top AI certifications, beginner-friendly AI and ML projects, and tips to build a career in AI. By the end, you'll have the skills to tackle AI interview questions, build websites with AI, and advance in this dynamic field.

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00:00:00 Introduction to Artificial Intelligence Full Course
00:08:08 What is Artificial Intelligence
00:16:33 Artificial Intelligence Engineer Roadmap
00:25:39 Future of Artificial Intelligence
00:32:38 Introduction to Deep Learning
00:44:42 Best Artificial Intelligence Coding tools
00:53:11 Top 7 Highest Paying AI Certificatsions
01:02:49 Top to learn technologies to learn
01:09:31 AI Carrers
01:10:16 What is Gen AI
01:20:48 AI Engieer Roadmap
01:35:53 How to get Job in Artificial Intelligence
02:32:30 What is Machine Learning
02:38:11 AI Bias
02:43:53 Open AI Strawberry
02:50:04 Difference between AI ML and DL
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03:19:01 Mutimodel Artificial Intelligence
03:38:52 Chatgpt analyse
03:39:53 Transformers in Artificial Intelligence
07:04:07 Reinforcement Learning
07:04:57 Q Learning
07:27:58 Langchain Explained
07:38:57 Cursor AI
09:55:07 Recurrent Neural Network
10:12:52 ML Projects for Beginners
10:38:33 Build Website with AI
10:51:52 AI Projects For Beginners

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➡️ About Professional Certificate Course in Generative AI and Machine Learning

This AI ML program is designed to enhance your career in AI and ML by demystifying concepts like ML, DL, NLP, computer vision, generative AI, prompt engineering, and more. You'll also receive access to dedicated live sessions led by industry experts covering the latest trends in AI, such as generative modeling, ChatGPT, explainable AI, and more.

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