Ready to become a certified Architect on Cloud Pak for Data? Register now and use code IBMTechYT20 for 20% off of your exam → https://www.ibm.com/training/c....ertification/ibm-cer

Learn more about Agentic AI here → [Topic Page on .com]

Agentic AI is transforming technology—but autonomy brings big risks 🤖. Phaedra Boinodiris & Matt Bellio explore risks like misinformation, security gaps, and decision-making errors, and share strategies for AI governance and responsible deployment 🚀. Learn how to navigate the future of autonomous AI!

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://www.ibm.com/account/re....g/us-en/signup?formi

#agenticai #autonomousai #airisks #technologyinnovation

What is the difference between generative ai and ai agents and agentic AI system? Let's understand it in a very simple, intuitive language.

Langgraph tutorial: https://youtu.be/CnXdddeZ4tQ?si=rkrOziDj4y_dQo4-
AI bootcamp with HR assistant agentic system: https://codebasics.io/bootcamp....s/ai-data-science-bo

👉 Check out PyCharm, the IDE built for data science and AI/ML professionals: https://jb.gg/try-pycharm-now
👉 Free 3-Month PyCharm Pro subscription with coupon code “PyCharm2codebasics”: https://jb.gg/pc_codebasics
Redeem on new purchases before Feb 01, 2026

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

This is my 50 Claude Code tips from 6 months of daily use personally and at Meta as a Staff Software Engineer. I've been coding with Claude Code basically 12 hours a day really trying to understand what makes Claude Code tik. Here's everything I wish I knew when I started, from foundations to advanced parallel workflows.

⏱️ TIMESTAMPS
0:00 - Intro
1:04 - ACT 1: Foundations (Tips 1-25)
1:18 - Tip 1: Run from root directory
1:56 - Tip 2: Run /init immediately
2:54 - Tip 3: CLAUDE.md is hierarchical
3:27 - Tip 4: Keep CLAUDE.md concise
3:58 - Tip 5: Structure: What, Domain, Validation
5:36 - Keyboard Shortcuts
5:58 - Tip 6: Shift+Tab toggles modes
6:40 - Tip 7: Escape interrupts
7:43 - Tip 8: Double Escape clears input
7:59 - Tip 9: Double Escape on empty = rewind
8:29 - Tip 10: Screenshot and drag
8:44 - Tip 11: Add context to screenshots
9:09 - Essential Commands
9:41 - Tip 12: /clear resets context
10:13 - Tip 13: /context shows token usage
11:42 - Tip 14: Let auto-compaction work
12:23 - Tip 15: /model switches models
12:49 - Tip 16: /resume recovers sessions
13:21 - Tip 17: /mcp shows MCP status
14:19 - Tip 18: /help shows all commands
14:33 - Tip 19: Git is your safety net
15:24 - CLAUDE.md Deep Dive
15:52 - Tip 20: Add a Critical Rules section
17:08 - Tip 21: Ask Claude to update rules
17:46 - Tip 22: Use workflow triggers
18:27 - Tip 23: Commit CLAUDE.md to git
19:34 - Tip 24: dangerously-skip for throwaway envs
20:39 - Tip 25: Combine skip with allowlists
20:59 - ACT 2: Daily Workflow (Tips 26-32)
21:38 - Tip 26: Start features in Plan Mode
23:46 - Tip 27: Fresh context beats bloated
24:29 - Tip 28: Persist before ending sessions
25:03 - Tip 29: Lazy load context
26:09 - Tip 30: Give verification commands
27:32 - Tip 31: Consider Opus for complex work
28:18 - Tip 32: Read thinking blocks
29:01 - ACT 3: Power User (Tips 33-40)
29:34 - Tip 33: Four composability primitives
29:54 - Tip 34: Skills = recurring workflows
31:33 - Tip 35: Commands = quick shorthand
32:18 - Tip 36: Never create commands manually
33:02 - Tip 37: MCPs = external service docs
33:52 - Tip 38: Ask Claude to install MCPs
34:15 - Tip 39: Subagents = isolated context
37:10 - Tip 40: Avoid instruction overload
37:48 - ACT 4: Advanced (Tips 41-50)
38:02 - Tip 41: Run multiple instances
39:06 - Tip 42: iTerm split panes
40:33 - Tip 43: Enable notifications
41:10 - Tip 44: Git worktrees for isolation
41:40 - Tip 45: /chrome connects browser
43:17 - Tip 46: Powerful for debugging
43:28 - Hooks & Automation
43:41 - Tip 47: Hooks intercept actions
44:10 - Tip 48: Auto-format with PostToolUse
44:24 - Tip 49: Block dangerous commands
44:43 - Tip 50: Explore the plugin ecosystem
45:32 - Context is King (Outro)

📬 NEWSLETTER
Weekly deep dives on AI coding, developer productivity, and engineering career growth. https://getpushtoprod.substack.com

📺 MORE RELATED VIDEOS

Claude Code Workflows That Will 10x Your Productivity https://youtu.be/yZvDo_n12ns?si=ChHm_yo2d8SONVZ6

Vibe Coding is Making Engineers Worse (Do This Instead)
https://youtu.be/LnNlwEMlb1A?si=wWmoqmxd0K4F0g5L

📲 CONNECT WITH ME
► LinkedIn → / jonnykvids
► Instagram → / @jonnykvids
► Threads → https://www.threads.net/@jonnykvids

👍 Like, Subscribe & Hit the Bell for more software engineering insights!

#claudecode #aicoding #programming

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructors: Vasily Strela, Jake Xia, and Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides an introductory overview of a course combining mathematical theory and real-world financial applications, featuring lectures by academics and industry experts. The instructors emphasize the practical use of mathematics in finance, covering topics like bond math, portfolio optimization, and machine learning, while utilizing tools such as RStudio Cloud for data analysis. Additionally, the course includes guest speakers from prominent financial institutions, offering students exposure to cutting-edge quantitative finance concepts and industry practices.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Introduction and overview of the course covering the history and background of the field.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: Peter Kempthorne
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

The lecture introduces linear algebra with a focus on its applications in quantitative finance, covering vector and matrix fundamentals, portfolio valuation, and concepts like short selling, arbitrage, and contingent claims. It further explores stochastic matrices and Markov chains, eigenvalues and eigenvectors, and their roles in modeling financial markets, culminating in discussions on no-arbitrage conditions, market completeness, and pricing measures essential for option pricing theory.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Is it ever too late to expand your knowledge of computer science and AI? Mehran Sahami, Professor and Chair of the Computer Science Department at Stanford University, addresses this and other questions as he shares his expertise.

Learn about Code in Place:
https://codeinplace.stanford.edu/

Learn about our Artificial Intelligence Courses and Programs:
https://online.stanford.edu/ar....tificial-intelligenc

Learn about our Computer Science & Security Programs:
https://online.stanford.edu/co....mputer-science-secur

Prepare for the course

What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book 📖 Engineering Deep Learning Systems 📖

This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.

📚📚📚
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
📚📚📚

About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you’ll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You’ll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.

Deep learning currently provides state-of-the-art performance in computer vision, natural language processing, and many other machine learning tasks. In this talk, we will learn when deep learning is useful (and when it isn't!), how to implement some simple neural networks in Python using Theano, and how to build more powerful systems using the OpenDeep package.

Our first model will be the 'hello world' of deep learning - the multilayer perceptron. This model generalizes logistic regression as your typical feed-forward neural net for classification.

Our second model will be an introduction to unsupervised learning with neural nets - the denoising auto-encoder. This model attempts to reconstruct corrupted inputs, learning a useful representation of your input data distribution that can deal with missing values.

Finally, we will explore the modularity of neural nets by implementing an image-captioning system using the the OpenDeep package.

Markus Beissinger
Recent graduate from the Jerome Fisher Program in Management and Technology dual degree program at the University of Pennsylvania (The Wharton School and the School of Engineering and Applied Science), and current Master's student in computer science. Focus on machine learning, startups, and management.

Slides: http://goo.gl/P9QGnV

🔥Digital Marketing Specialist - https://www.simplilearn.com/master-in-digital-marketing?utm_campaign=eDq9GHU84nQ&utm_medium=Lives&utm_source=Youtube
🔥Professional Certification in Digital Marketing (India Only) - https://www.simplilearn.com/professional-digital-marketing-program?utm_campaign=eDq9GHU84nQ&utm_medium=Lives&utm_source=Youtube

This video on Search Engine Marketing Full Course 2026 by Simplilearn, explains how paid advertising works on search engines like Google. You’ll learn Google Ads basics, keyword targeting, ad creation, bidding strategies, and campaign optimization. The course also covers conversion tracking, performance analysis, and ROI-focused marketing. With real-world examples, you’ll understand how businesses drive traffic and sales using paid search. Perfect for beginners, marketers, and professionals looking to master performance marketing.

Related Videos:
✅ 1. SEO Full Course 2026 - https://youtu.be/HJIwjXf9YFs
✅ 2. Digital Marketing Full Course 2026 - https://youtube.com/live/nZRcNYD3yNs
✅ 3. Digital Marketing Roadmap For 2026 - https://youtu.be/uTNi0kXeJ3Q
✅ 4. How To Start Career In Digital Marketing? - https://youtu.be/yPzHibZF1Yk
✅ 5. Top 6 Digital Marketing Trends in 2026 - https://youtu.be/-OHLJ0bSdjg

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

⏩ Check out More Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#searchenginemarketing #searchenginemarketingindigitalmarketing #searchenginemarketingtutorial #searchenginemarketing(sem) #searchenginemarketinggoogleads #searchenginemarketinginterviewquestionsandanswers #searchenginemarketingtutorialforbeginners #digitalmarketing #simplilearn #2026

➡️ About Digital Marketing Specialist

Experience live and interactive learning with this comprehensive digital marketing masters program. Learn to leverage ChatGPT and other generative AI tools for digital marketing. Additionally, you will receive a Meta Certified Digital Marketing Associate exam in the program.

Key Features:
✅ Key Features
✅ Industry recognised Digital Marketing Specialist certificate from Simplilearn
✅ Live classes delivered by digital marketing industry experts
✅ Learn to Leverage ChatGPT and the latest generative AI tools for digital marketing
✅ Free Meta Certified Digital Marketing Associate exam voucher worth $99
✅ Learn 35+ digital marketing tools
✅ 5 Capstone problem statements and 15+ course-end projects
✅ 10+ case studies from brands like Adidas, KFC, Nike, Intel, etc.

Skills Covered:
✅ Website Creation
✅ Behavioral Marketing
✅ Keyword Research
✅ Search Engine Optimization
✅ Search Engine Marketing
✅ Campaign Management
✅ Social Media Marketing
✅ Mobile Marketing
✅ Content Marketing
✅ Content Strategy
✅ Strategies for Paid Campaigns
✅ Analytics ROI amp Evaluation
✅ AI Automation amp Emerging Technology
✅ Gen Artificial Intelligence AI Tools

👉 Learn More At: https://www.simplilearn.com/master-in-digital-marketing?utm_campaign=eDq9GHU84nQ&utm_medium=Lives&utm_source=Youtube

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

🔥 Python Programming Certification Course: https://www.edureka.co/python-....programming-certific
Python Interview Questions and Answers - https://www.edureka.co/blog/in....terview-questions/py
Explore the vast world of Python programming through our comprehensive video, "Python Interview Questions". In this video, we will explore 50 important Python interview questions to prepare for cracking Python interviews. These questions are suitable for everyone, whether you're just starting out or already know a lot. We explain each answer in detail, helping both beginners and experienced programmers feel more confident for their Python interviews. If you want to brush up on what you know or learn something new, this video will help you understand Python better.

✅ 00:00 - Introduction to Python Interview Questions
✅ 01:20 - Beginners Level Python Interview Questions
✅ 14:05 - Intermediate Level Python Interview Questions
✅ 26:45 - Advanced Level Python Interview Questions

✅ Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

#pythoninterview #pythoninterviewquestions #interviewquestions #interviewpreparation #python #edureka

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌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/

- - - - - - - - - - - - - -

What is Python?

Python is a widely used programming language that can be used for small and large-scale projects. Python allows you to seamlessly integrate web development with data analysis. Python's wide adoption is due in part to its standard library, accessibility, and support for multiple paradigms, such as procedural, functional and object-oriented programming styles. Python modules can interact with many databases making it an excellent choice to learn data science and machine-learning.
- - - - - - - - - - - - - -

What skills or experience do I need to already have before starting to learn Python?

Python is beginner-friendly, and no prior programming experience is required. Basic computer literacy and problem-solving skills are beneficial but not mandatory.

- - - - - - - - - - - - - -

Is this Online Python Course for IT professionals?

No, It is not necessary to be an IT professional to be enrolled in this course. If you have programming knowledge, that will be an additional advantage. Many Non IT professionals completed the Python Course by enrolling at Edureka and placed in top MNCs such as Google, TCS, Maxgen Technologies, etc.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).

Follow the codelab → https://goo.gle/3Q5TSt3
GitHub repo → https://goo.gle/4fsahT8
Google Agent Development Kit (ADK) → https://goo.gle/3Q3enqf

At the simplest level, an AI agent doesn’t just answer—it decides and takes action. In this video, Smitha goes beyond basic chatbots and demonstrates how to build a fully autonomous, self-correcting multi-agent system from scratch using Google’s Google Agent Development Kit (ADK).


First, Smitha breaks down the theory behind modern agents: the ReAct Framework (reasoning and acting) and the 3 main agent patterns (sequential, reactive, and planning). Then, she jumps straight into Python to build a practical *Blog Writing Agent*. Watch along and learn how to combine *Planner* and *Writer* agents with validation checkers and loop agents to create an AI that catches its own mistakes and automatically retries until it gets it right.

Chapters:
00:00 - AI Agents Explained
01:05 - The ReAct Framework Explained
02:15 - The 3 Types of AI Agents (Sequential, Reactive, Planning)
03:30 - Project Overview: The Auto-Correcting Blog Writer
04:15 - Setting Up Google ADK & UV
04:50 - Coding the Planner Agent
05:40 - Adding Auto-Correction (Validation Checkers & Loop Agents)
06:50 - Coding the Blog Writer & Root Agent
08:20 - Testing the AI in the ADK Web UI
09:40 - What's Next? (Connecting to MCP Servers)

More resources:
ReAct Paper → https://goo.gle/4oa1oQ9

🔗 Connect with Smitha online:
YouTube → https://goo.gle/Smitha-on-YouTube
Linkedin → https://goo.gle/Smitha-on-LinkedIn
X → https://goo.gle/Smitha-on-X

#AIAgents #GoogleADK #PythonTutorial #SoftwareEngineering #MachineLearning #LLMs

Watch more Modern AI Agents: From Theory to Production → https://goo.gle/Learn-with-Smitha
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#AIAgents #Gemini

Speaker: Smitha Kolan
Products Mentioned: Agent Development Kit, Gemini

🔥 Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai
🔥 Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
🔥 ChatGPT Training Course: https://www.edureka.co/openai-....chatgpt-training-cou

In this video, we dive into *The Future of Generative AI* and the exciting *Job opportunities* it presents. We cover everything from what Generative AI is, its growing importance, and the key skills required to succeed in this field to how you can get started and the career paths emerging within the industry. We also discuss the question on many minds: Is Generative AI eating our jobs? Whether you're new to the field or looking to explore new career opportunities, this video will provide valuable insights into how Generative AI is shaping the job market and your future.

✅ 00:00 - The Future of Generative AI and Job Opportunities
✅ 01:16 - What is Generative AI?
✅ 02:26 - Importance of Generative AI
✅ 04:40 - Skills Required in Generative AI
✅ 06:07 - Getting Started in Generative AI
✅ 08:35 - Job Opportunities in Generative AI
✅ 09:44 - Is Generative AI Eating Our Jobs?

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

🔥 Mastering Generative AI Tools Online: https://www.edureka.co/masteri....ng-generative-ai-too
🔥 GitHub Copilot Training Course: https://www.edureka.co/github-....copilot-certificatio
🔥 Generative AI In Retail Certification Course: https://www.edureka.co/generat....ive-ai-retail-certif
🔥 Generative AI for Software Developers: https://www.edureka.co/generat....ive-ai-software-deve

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv


🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌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/

What is Generative AI?

Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data.

What is Prompt Engineering?‎

Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images.

What kinds of jobs can you get with Prompt Engineering skills?‎

Here are some potential job roles:
• Machine Learning Engineer
• Data Scientist
• Natural Language Processing (NLP) Engineer
• AI Research Scientist
• Software Engineer (AI/ML)
• Data Engineer
• Conversational AI Developer
• AI Product Manager
• AI Ethicist

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

#genai #generativeai #aijobopportunities #futureofai #aicareers #aitrends2024
#generativeaiexamples

🔵 Intellipaat AWS DevOps Course: https://intellipaat.com/aws-de....vops-certification-t
In this AWS DevOps training video, you will learn everything about AWS and DevOps from basic to advance level. This video on AWS DevOps Tutorial For Beginners includes an introduction to DevOps, AWS, why DevOps with AWS, AWS codepipeline, hands-on project, and interview preparation. This is a must-watch session for everyone who wishes to learn AWS DevOps and make a career in the cloud domain.

🔵 Read the complete DevOps tutorial here: https://intellipaat.com/blog/t....utorial/devops-tutor

#AWSDevOps #AWSDevOpsTutorialForBeginners #AWSDevOpsTraining #AWSDevopsCertification #DevopsAWS #AWSDevOpsCourse #Intellipaat

🔵 The Following are covered in this AWS DevOps video:
00:00:00 - AWS DevOps Tutorial For Beginners
00:04:58 - Introduction to Cloud Computing
00:16:24 - Cloud Computing Models
00:20:10 - Deployment Models
00:34:58 - Cloud Providers
00:41:17 - Introduction to amazon web services
01:04:03 - AWS Demo
01:28:19 - AWS Services - Storage
01:45:56 - AWS Services - Database
02:06:00 - AWS Pricing
02:13:38 - Introduction to DevOps
02:20:00 - What is DevOps?
02:23:35 - DevOps Lifecycle - How DevOps works?
02:36:00 - DevOps Tools
02:42:48 - Introduction to Git
02:44:49 - Common Git Commands
03:40:27 - What is Docker?
03:48:46 - Docker Installation
03:56:04 - Common Docker Operations
04:11:01 - Creating a Docker Hub Account
04:31:48 - Introduction to DockerFile
04:33:59 - Various Commands in DockerFile
04:50:19 - Introduction to Docker Volumes
05:16:10 - AWS CodePipeLine
06:59:03 - Netflix AWS Project
08:21:57 - AWS DevOps Certification
08:41:16 - DevOps Interview Questions

To subscribe to the Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

🔵 Interested to learn DevOps still more? Please check similar what is DevOps blog here: https://intellipaat.com/blog/what-is-devops/

Are you looking for something more? Enroll in our DevOps certification course and become a certified DevOps professional (https://intellipaat.com/devops....-certification-train It is a 32 hrs instructor-led DevOps training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this DevOps course video, Like us and Subscribe to our channel for a more similar informative video.
Got any questions about DevOps Tools? Ask in the comment section below.

Intellipaat Edge
1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Courseware
6. Lifetime free Course Upgrade

🔵 Why should you watch this DevOps course tutorial?

Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. We are offering the top DevOps tutorial that can be watched by anybody to learn DevOps. Our DevOps tutorial has been created with extensive inputs from the industry so that you can learn DevOps easily.

🔵 Why DevOps is important?

DevOps implementation is going through the roof with most of the largest software organizations around the world invested heavily in its implementation. The core values of DevOps is effectively based on the Agile Manifesto but with one slight change that moves the focus from creating a working software to one that is more interested in the end-to-end software service mechanism and delivery.

🔵 Why should you opt for a DevOps career?

For very long times the development and the operations teams of any software enterprise have stayed at arm’s length. But this organizational cultural shift thanks to DevOps a lot of changes are happening in forward-thinking enterprises. Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. You will grab the best jobs in top MNCs after finishing this Intellipaat DevOps online training. The entire Intellipaat DevOps course is in line with the industry needs. There is a huge demand for DevOps certified professionals. The salaries for DevOps professionals are very good. Hence this Intellipaat DevOps tutorial is your stepping stone to a successful career!

🔵 For more information:
Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free)

Website: https://intellipaat.com/linux-training/

Facebook: https://www.facebook.com/intellipaatonline

LinkedIn: https://www.linkedin.com/in/intellipaat/

Twitter: https://twitter.com/Intellipaat

Telegram: https://t.me/s/Learn_with_Intellipaat

Instagram: https://www.instagram.com/intellipaat