Top videos
Cell biology gives clues to why we age and lobsters don't.
I made another video! The future of energy: http://bit.ly/1MAiJKm
Check out Breakthrough, Sundays at 9/8c on Nat Geo with GE #ad
Animations are from Emmy-winning film 'Immortal', reproduced here courtesy of December Media and Genepool Productions (previously Pemberton Films)
Check out Immortal here: http://bit.ly/VeImmortal
Find out more about telomeres and telomerase here: http://bit.ly/WakeTelomeres
Special thanks to Dr. Fiona Ginty, Principal Scientist in the Life Sciences and Molecular Diagnostics Group at GE. Her research focuses on imaging different proteins within the cell. It's both a very powerful technique and it's beautiful.
Filmed by Raquel Nuno and Vasilios Sfinarolakis
Aging makeup by Heather Grippaldi: http://bit.ly/1Xebikh
Music by Kevin MacLeod, www.incompetech.com "Past the Edge" and "Lightless Dawn"
๐ฅNIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka video on Machine Learning Algorithms Explained shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!
๐ท๐ธ๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ฆ๐ฝ๐ฒ๐ฎ๐ธ๐ฒ๐ฟ๐ธ๐ท
Name: Mr. Arnab Ganguly
Details:
1. Director at Capgemini for Data Science, AIML.
2. 20+ years of diverse experience in Business Excellence, Consulting and Predictive Analytics
3. An Alumnus of IIT, Bombay
๐ดTo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
๐ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ฃ Python Online Training: https://bit.ly/2CQYGN7
๐ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐ต Data Science Online Training: https://bit.ly/2NCT239
๐ฃ Big Data Online Training: https://bit.ly/3g8zksu
๐ต Java Online Training: https://bit.ly/31rxJcY
๐ฃ Selenium Online Training: https://bit.ly/3dIrh43
๐ต PMP Online Training: https://bit.ly/3dJxMTW
๐ฃ Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
๐ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ฃRPA Developer Masters Program: https://bit.ly/3eHwPNf
-----------------------------------------Edureka PGP Courses---------------------------------------------------
๐ตArtificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
๐ฃCyberSecurity PGP: https://bit.ly/3eHvI0h
๐ตDigital Marketing PGP: https://bit.ly/38cqdnz
๐ฃBig Data Engineering PGP: https://bit.ly/3eTSyBC
๐ตData Science PGP: https://bit.ly/3dIeYV9
๐ฃCloud Computing PGP: https://bit.ly/2B9tHLP
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#edureka #MachineLearningEdureka #machineLearningAlgorithms #MachinelearningTutorial #machineLearningPython #LearnMachineLearning #withMe
----------------------------------------------
Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI
1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features
1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects
1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
--------------------------------------------
Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
--------------------------------------------
For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
Introduction to Machine Learning | Machine Learning Tutorial | Edureka | Machine Learning Rewind - 1
๐ฅMachine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on "What is Machine Learning" (Machine Learning Blog: https://goo.gl/fe7ykh ) gives an introduction to Machine Learning and its various types.
๐นCheck out our Playlist: http://bit.ly/2taym8X
๐นBlog Series: https://bit.ly/2PX5lIp
๐ดPlease do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
๐ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ฃ Python Online Training: https://bit.ly/2CQYGN7
๐ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐ต Data Science Online Training: https://bit.ly/2NCT239
๐ฃ Big Data Online Training: https://bit.ly/3g8zksu
๐ต Java Online Training: https://bit.ly/31rxJcY
๐ฃ Selenium Online Training: https://bit.ly/3dIrh43
๐ต PMP Online Training: https://bit.ly/3dJxMTW
๐ฃ Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
๐ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ฃRPA Developer Masters Program: https://bit.ly/3eHwPNf
-----------------------------------------Edureka PGP Courses---------------------------------------------------
๐ตArtificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
๐ฃCyberSecurity PGP: https://bit.ly/3eHvI0h
๐ตDigital Marketing PGP: https://bit.ly/38cqdnz
๐ฃBig Data Engineering PGP: https://bit.ly/3eTSyBC
๐ตData Science PGP: https://bit.ly/3dIeYV9
๐ฃCloud Computing PGP: https://bit.ly/2B9tHLP
-----------------------------------------------------------------------------------------------------------
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Meetup: https://www.meetup.com/edureka/
#edureka #machinelearningedureka #WhatisMachineLearning #MachineLearning #MachineLearningTraining #learnMachineLearning #withme
About the Course :
Edurekaโs 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?
Edurekaโs Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a โMachine 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).
๐ฅNIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This Edureka video on Machine Learning Algorithms Explained shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!
๐ดTo subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV
------------------------------------Edureka Online Training and Certification---------------------------------
๐ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ฃ Python Online Training: https://bit.ly/2CQYGN7
๐ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐ต Data Science Online Training: https://bit.ly/2NCT239
๐ฃ Big Data Online Training: https://bit.ly/3g8zksu
๐ต Java Online Training: https://bit.ly/31rxJcY
๐ฃ Selenium Online Training: https://bit.ly/3dIrh43
๐ต PMP Online Training: https://bit.ly/3dJxMTW
๐ฃ Tableau Online Training: https://bit.ly/3g784KJ
-----------------------------------------Edureka Masters Programs---------------------------------------------------
๐ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ฃRPA Developer Masters Program: https://bit.ly/3eHwPNf
---------------------------------------Edureka Post Graduate Courses-------------------------------------------
๐ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q
-----------------------------------------------------------------------------------------------------------
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
#edureka #MachineLearningEdureka #machineLearningAlgorithms #MachinelearningTutorial #machineLearningPython #LearnMachineLearning #withMe
----------------------------------------------
Why Machine Learning & AI?
Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI
1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features
1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects
1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
--------------------------------------------
Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2
--------------------------------------------
For more information, Please write back to us at [email protected] or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).
Learn more about AI in the SDLC here โ https://ibm.biz/~naNTyKNWO
AI promises speed, but where are the real gains? Cedric Clyburn breaks down why productivity stalls across the software development lifecycle despite faster coding. Learn how redesigning SDLC workflows with AI agents improves outcomes, testing, and delivery.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM โ https://ibm.biz/~nBt0HFgxR
#aifordevelopers #sdlc #aicodingtools #softwaredevelopment
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Thแปงy Sinh Nha Trang cung cแบฅp sแป lแบป cรกc loแบกi sแบฃn phแบฉm thแปงy sinh nhฦฐ cรขy thแปงy sinh, hแป thแปงy sinh, tรดm cแบฃnh, cรก cแบฃnh, tรฉp cแบฃnh, แปc cแบฃnh, hแป cรก thแปงy sinh, bแป cรก, phแปฅ kiแปn thแปงy sinh, ฤรจn thแปงy sinh vร cรกc thiแบฟt bแป khรกc vแปi giรก hแบฅp dแบซn tแบกi khu vแปฑc miแปn Trung. Chรบng tรดi chuyรชn vแป Thiแบฟt kแบฟ cแบฃnh quan, Trang trรญ nแปi thแบฅt, Tiแปu cแบฃnh.
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Cรกch Lร m Bแป Bรกn Cแบกn Cแปฑc Kแปณ ฤฦกn Giแบฃn | How to build a semi-aquariums #thuysinh #semiaquarium
THแปฆY SINH NHA TRANG - THUแปถ SINH MANG TรI LแปC ฤแบพN NHร Bแบ N
Thแปงy Sinh Nha Trang cung cแบฅp sแป lแบป cรกc loแบกi sแบฃn phแบฉm thแปงy sinh nhฦฐ cรขy thแปงy sinh, hแป thแปงy sinh, tรดm cแบฃnh, cรก cแบฃnh, tรฉp cแบฃnh, แปc cแบฃnh, hแป cรก thแปงy sinh, bแป cรก, phแปฅ kiแปn thแปงy sinh, ฤรจn thแปงy sinh vร cรกc thiแบฟt bแป khรกc vแปi giรก hแบฅp dแบซn tแบกi khu vแปฑc miแปn Trung. Chรบng tรดi chuyรชn vแป Thiแบฟt kแบฟ cแบฃnh quan, Trang trรญ nแปi thแบฅt, Tiแปu cแบฃnh.
Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: https://youtube.com/@ThuySinhNhaTrang
Address: 566/23 ฤฦฐแปng 2 Thรกng 4, Vฤฉnh Phฦฐแปc, Nha Trang, Khรกnh Hรฒa, Viแปt Nam (hแบปm ฤแปi diแปn ฤแบทng Tแบฅt)
#bethuysinhdep, #thuysinh, #howtobuildaquarium, #hothuysinh , #studymusic, #relaxmusic, #calmingmusic , #bethuysinhmini
Bแป THแปฆY SINH NGHแป THUแบฌT #thuysinh #aquarium
THแปฆY SINH NHA TRANG - THUแปถ SINH MANG TรI LแปC ฤแบพN NHร Bแบ N
Thแปงy Sinh Nha Trang cung cแบฅp sแป lแบป cรกc loแบกi sแบฃn phแบฉm thแปงy sinh nhฦฐ cรขy thแปงy sinh, hแป thแปงy sinh, tรดm cแบฃnh, cรก cแบฃnh, tรฉp cแบฃnh, แปc cแบฃnh, hแป cรก thแปงy sinh, bแป cรก, phแปฅ kiแปn thแปงy sinh, ฤรจn thแปงy sinh vร cรกc thiแบฟt bแป khรกc vแปi giรก hแบฅp dแบซn tแบกi khu vแปฑc miแปn Trung. Chรบng tรดi chuyรชn vแป Thiแบฟt kแบฟ cแบฃnh quan, Trang trรญ nแปi thแบฅt, Tiแปu cแบฃnh.
Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: youtube.com/@ThuySinhNhaTrang
Address: 566/23 ฤฦฐแปng 2 Thรกng 4, Vฤฉnh Phฦฐแปc, Nha Trang, Khรกnh Hรฒa, Viแปt Nam (hแบปm ฤแปi diแปn ฤแบทng Tแบฅt)
#bethuysinhdep, #thuysinh, #howtobuildaquarium, #hothuysinh , #studymusic, #relaxmusic, #calmingmusic , #bethuysinhmini
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Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
Address: 566/23 ฤฦฐแปng 2 Thรกng 4, Vฤฉnh Phฦฐแปc, Nha Trang, Khรกnh Hรฒa, Viแปt Nam (hแบปm ฤแปi diแปn ฤแบทng Tแบฅt)
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Hแป thแปงy sinh thรกc cรกt โข ฤรชm Thแบฅy Ta Lร Thรกc ฤแป #thuysinh #aquariums
THแปฆY SINH NHA TRANG - THUแปถ SINH MANG TรI LแปC ฤแบพN NHร Bแบ N
Thแปงy Sinh Nha Trang cung cแบฅp sแป lแบป cรกc loแบกi sแบฃn phแบฉm thแปงy sinh nhฦฐ cรขy thแปงy sinh, hแป thแปงy sinh, tรดm cแบฃnh, cรก cแบฃnh, tรฉp cแบฃnh, แปc cแบฃnh, hแป cรก thแปงy sinh, bแป cรก, phแปฅ kiแปn thแปงy sinh, ฤรจn thแปงy sinh vร cรกc thiแบฟt bแป khรกc vแปi giรก hแบฅp dแบซn tแบกi khu vแปฑc miแปn Trung. Chรบng tรดi chuyรชn vแป Thiแบฟt kแบฟ cแบฃnh quan, Trang trรญ nแปi thแบฅt, Tiแปu cแบฃnh.
Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: youtube.com/@ThuySinhNhaTrang
Address: 566/23 ฤฦฐแปng 2 Thรกng 4, Vฤฉnh Phฦฐแปc, Nha Trang, Khรกnh Hรฒa, Viแปt Nam (hแบปm ฤแปi diแปn ฤแบทng Tแบฅt)
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Join My Community to Level Up โก https://www.skool.com/earlyaidopters/about
๐ Gumroad Link to Assets in the Video: https://markkashef.gumroad.com..../l/agenticdesignpatt
Work With Us: https://www.promptadvisers.com/
๐ฌ Core Video Description
What if you could learn the 20 agentic design patterns the pros actually useโwithout wading through a 400-page manual? In this practical 63-minute breakdown, I translate a Google engineerโs book into plain English and show you exactly how to apply each pattern in real workflows. Youโll see where each architecture shines, the tradeoffs that matter (cost, latency, failure modes), and quick ways to combine patterns for robust systemsโso you can ship reliable agents faster and avoid over-engineering rabbit holes. Expect concise TL;DRs, labeled visuals, and a free repo packed with diagrams, ASCII flows, and Mermaid files to help you implement immediately.
[Main Topic]: A practical, plain-English guide to 20 agentic design patterns
[Key Benefits or Outcomes]: Understand when/why to use each pattern, reduce hallucinations and cost, add safety/quality gates, route work across models/agents, and ship production-ready automations with fewer retries and rollbacks
[Tools or Techniques Covered]: Prompt chaining, routing, parallelization, reflection loops, tool use, planning/orchestration, multi-agent collaboration, memory management, learning/feedback, goal tracking, exception handling, human-in-the-loop, RAG, inter-agent comms, resource-aware model routing, reasoning strategies (CoT/ToT, debate), evaluation & monitoring, guardrails/safety, prioritization, exploration/discovery
โณ TIMESTAMPS:
00:00 โ Intro: Why agentic patterns separate pros from beginners
00:36 โ What youโll get: TL;DRs, visuals, free resources
00:54 โ Pattern 1: Prompt Chaining (assembly-line steps & validations)
05:42 โ Pattern 2: Routing (smart triage to specialist agents)
09:30 โ Pattern 3: Parallelization (split, normalize, merge)
13:16 โ Pattern 4: Reflection (critic โ revise โ pass)
15:51 โ Pattern 5: Tool Use (discover, authorize, execute, fallback)
18:19 โ Pattern 6: Planning (milestones, dependencies, constraints)
20:49 โ Pattern 7: Multi-Agent Collaboration (manager + roles + shared memory)
23:45 โ Pattern 8: Memory Management (short/episodic/long-term, retrieval)
26:42 โ Pattern 9: Learning & Adaptation (feedback โ prompts/policies/tests)
29:17 โ Pattern 10: Goal Setting & Monitoring (KPIs, drift, course-correct)
31:34 โ Pattern 11: Exception Handling & Recovery (classify, backoff, fallbacks)
34:11 โ Pattern 12: Human-in-the-Loop (review cues & approvals)
36:01 โ Pattern 13: Retrieval (RAG): parse, chunk, embed, rerank
38:14 โ Pattern 14: Inter-Agent Communication (protocols, IDs, expiry)
43:08 โ Pattern 15: Resource-Aware Optimization (route by cost/complexity)
46:35 โ Pattern 16: Reasoning Techniques (CoT, ToT, self-consistency, debate)
49:57 โ Pattern 17: Evaluation & Monitoring (golden sets, SLAs, drift)
52:44 โ Pattern 18: Guardrails & Safety (PII, injection, sandboxing)
56:04 โ Pattern 19: Prioritization (valueรeffortรurgencyรrisk, re-order)
59:29 โ Pattern 20: Exploration & Discovery (map space, cluster, probe)
62:17 โ Free Repo & Diagrams (ASCII + Mermaid)
63:08 โ Final CTA: Share, comment, and join the community
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Learn more about AI Agent Frameworks here โ https://ibm.biz/~M1qnwGHnE
Too many agentic AI frameworks and no clear starting point. ๐คฏ Meenakshi Kodati breaks down agentic AI frameworks like LangChain, AutoGen, and CrewAI across workflows, multi-agent systems, and production use cases. Learn how to choose the right framework based on your system design and real-world needs.
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This video contains a practical roadmap to learn agentic AI using free learning resources and step by step study plan.
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๐ฅAdvanced Certification in Agentic AI Engineering: https://www.edureka.co/agentic-ai-training-course
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In this video, we dive into the exciting developments and advancements that are set to shape the industry in 2025. We will learn what Agentic AI is and how it goes beyond traditional AI by acting with purpose and autonomy. Youโll discover 5 powerful secrets behind Agentic AIโfrom multi-agent collaboration to real-world tool integration and ethical guardrails. By the end, youโll understand how Agentic AI is transforming industries and why itโs the future of intelligent systems.
Join us as we discuss the latest trends, innovations, and predictions for Agentic AI in 2025. Whether you're an AI enthusiast, a business leader, or simply curious about the future of technology, this video is for you.
00:00:00 Introduction
00:17:13 What is Agentic AI?
00:36:19 Agentic AI vs Generative AI
00:46:07 Agentic AI Roadmap
00:52:18 Introduction to Artificial Intelligence
00:58:37 Introduction to Deep Learning
02:28:29 Artificial Neural Network
03:08:09 Transformers Explained Using Generative AI
03:09:37 Transformers Neural Networks Explained
03:21:52 What are Large Language Models?
03:38:17 LLM vs SLM
03:41:59 What is LangChain?
03:59:35 What is RAG?
04:22:07 LLMOps: The Future of AI Development
04:29:57 Prompt Engineering
04:42:41 Natural Language Processing (NLP) & Text Mining using NLTK
05:22:21 KNN Algorithm using Python
05:45:23 Alibabaโs Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
05:49:47 DeepSeek vs OpenAI: Who Wins the AI Race?
06:02:06 Deep Learning Interview Questions
โ
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What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.
What are the prerequisites for this Agentic AI Training Course?
In order to complete this course successfully, participants need to have a basic understanding of the Python programming language, machine learning, deep learning, natural language processing, generative AI, and prompt engineering concepts.
Who should take this AI Agents Training Course?
The Agentic AI online Training Course is ideal for AI enthusiasts, developers, and professionals looking to build autonomous AI agents. It is best suited for LLM Engineers, Generative AI Engineers, AI Research scientists, AI/ML practitioners, and freshers who want to leverage Agentic AI for automation and decision-making.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823(toll-free).
#agenticai #aiagents #agenticaicourse #generativeai
๐Agentic AI Full Course for Beginners (Telugu) | Build AI Agents with LangGraph, CrewAI, MCP, A2A
๐ Complete Agentic AI Course for Beginners in Telugu
Code files:
LangGraph code:
https://drive.google.com/file/....d/1l6N1T06ghWX-PpTSR
CrewAI code:
https://drive.google.com/file/....d/13QghlEBku_OCM5kYi
In this 3-hour full course, you will learn Agentic AI from scratch and understand how to build your own AI Agents step by step.
This course is explained in Simple Telugu and is perfect for beginners who want to learn modern AI Agent development.
What You Will Learn
โ
What is an AI Agent?
โ
AI Agent vs Chatbot
โ
How AI Agents think, plan, use tools and complete tasks
โ
LangGraph explained with practical workflow
โ
MCP โ Model Context Protocol
โ
A2A โ Agent-to-Agent Protocol
โ
CrewAI multi-agent systems
โ
OpenAI Agents SDK overview
โ
How to build AI Agents from scratch
โ
Real-world Agentic AI use cases
Topics Covered
๐ค AI Agents
๐ท LangGraph
๐ MCP
๐ค A2A Protocol
๐ฅ CrewAI
โก OpenAI Agents SDK
๐ง Agentic AI Architecture
๐ป Practical AI Agent Projects
If you want to learn AI, Machine Learning, Generative AI and Agentic AI in Simple Telugu, subscribe to AI School of India.
Letโs make AI learning simple and practical ๐
Hashtags
#AgenticAI #AIAgents #LangGraph #CrewAI #MCP #A2A #OpenAIAgentsSDK #GenerativeAI #ArtificialIntelligence #AIinTelugu #AISchoolOfIndia #MachineLearning #DataScience
Next: Your first AI Employee: https://youtu.be/jYbzKYwdy24
In this video, I break down what Agentic AI really is, beyond the hype and buzzwords. While most people think of AI as just chatbots like ChatGPT, the next evolution - Agentic AI - is quietly transforming how we interact with technology.
I explain in simple terms how Agentic AI systems can actually take initiative, complete complex tasks autonomously, and solve problems without constant human guidance. You'll understand the key differences between reactive AI tools and truly agentic systems that can plan, adapt, and achieve goals.
Whether you're a developer, business leader, or just curious about AI's future, this concise explanation gives you the foundation to understand why Agentic AI represents such a significant leap forward in artificial intelligence.
#AgenticAI #ArtificialIntelligence #AIExplained #FutureOfAI #AgentBasedAI #AITechnology #TechTrends #MachineLearning #BusinessAI #AIAgents