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আইটি ও সফটওয়্যার/অন্যান্য আইটি ও সফটওয়্যার/AI-চালিত DevOps

Domește-te în DevOps bazat pe IA: Îmbunătățește eficiența și inovează rapid

Domește-te în IA în DevOps: De la bazele învățării automate la securitatea bazată pe IA, analiza predictivă, CI/CD și operațiuni în cloud

সকল স্তর • 100 বক্তৃতা • আজীবন অ্যাক্সেস
Peter Alkema

যাচাইকৃত মাস্টার প্রশিক্ষক

Domește-te în DevOps bazat pe IA: Îmbunătățește eficiența și inovează rapid
ট্রেলার
আপনার প্রশিক্ষকের সাথে দেখা করুন: Peter Alkema

19 ms

5.0 / 5.0
গ্লোবাল রেটিং
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সক্রিয় ছাত্র
ইংরেজি
99টি ভাষার সাবটাইটেল
5 ঘণ্টা 31 মি.
মোট বিষয়বস্তু

যা শিখবেন

1. Rezuma evoluția DevOps cu integrarea AI.
2. Explică beneficiile cheie ale AI în practicile DevOps.
3. Demonstrează cum AI îmbunătățește automatizarea în DevOps.
4. Evaluează impactul AI asupra culturii DevOps.

কোর্সের বিষয়বস্তু

20 বিভাগ • 100 বক্তৃতা • 05:31:42 মোট দৈর্ঘ্য

An Overview of AI-Powered DevOps

03:01

AI-powered DevOps revolutionizes software development and operations by automating deployment processes, enhancing system monitoring, and utilizing predictive analytics, leading to more efficient, reliable, and dynamic software delivery. This integration of AI technologies streamlines workflows, reduces human error, and predicts potential issues, fostering a future of accelerated innovation and improved system performance.

Understanding AI’s Role in Automation and Efficiency

03:14

AI is revolutionizing DevOps by automating complex tasks, predicting issues before they occur, and optimizing software delivery with greater speed and accuracy. This integration not only streamlines development cycles but also proactively strategizes for improved performance and reliability, marking a significant shift in software development and deployment processes.

Key Benefits of Integrating AI in DevOps

03:29

Integrating AI into DevOps revolutionizes software development and operations by enhancing efficiency, accuracy, and process agility. This strategic fusion leads to benefits such as improved problem detection, smarter automation, optimized resource use, strengthened security, and continuous process refinement, transforming how teams deploy, manage, and improve software systems.

The Evolution of DevOps with AI

03:26

The integration of AI into DevOps, known as AIOps, is revolutionizing software development and operations by automating processes, speeding up software delivery, and improving reliability. Through predictive analytics, AI enhances development, streamlines testing, optimizes deployments, and improves monitoring, leading to more efficient resource allocation and a better user experience.

Examining the Impact of AI on DevOps Culture

03:36

The integration of AI into DevOps, or AIOps, is significantly enhancing software delivery pipelines by automating routine tasks, optimizing workflows, and improving decision-making with predictive analytics and real-time data analysis. This transformation leads to faster release cycles, reduced downtime, and a stronger alignment with business objectives, positioning organizations for future success in a competitive landscape.

An Overview of AI-Powered DevOps

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The Evolution of DevOps with AI

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ডাউনলোড করুন

Key Benefits of Integrating AI in DevOps

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ডাউনলোড করুন

Understanding AI’s Role in Automation and Efficiency

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Examining the Impact of AI on DevOps Culture

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Machine Learning Fundamentals for DevOps Engineers

03:22

Machine learning is revolutionizing DevOps by automating key processes such as continuous integration and deployment, system monitoring, anomaly detection, and predictive analytics, thus enhancing efficiency, reducing errors, and improving software delivery. Its ability to learn from data and make decisions with minimal human intervention is enabling DevOps teams to predict and address potential issues before they impact users, transforming the landscape of software development and operations.

Machine Learning Fundamentals for DevOps Engineers

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ডাউনলোড করুন

Data Collection and Management Strategies

03:22

AI-Powered DevOps is revolutionizing software development by leveraging meticulous data collection and management strategies to fuel AI algorithms, which predict, automate, and optimize software delivery processes. This approach not only streamlines operations but also enhances software delivery pipelines' efficiency, predictability, and reliability through informed, data-driven decisions.

Data Collection and Management Strategies

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Introduction to Algorithms in DevOps Context

03:16

The integration of AI into DevOps, known as AIOps, leverages machine learning and data analytics to automate software development and operational tasks, significantly enhancing efficiency, speed, and reliability of software delivery. This innovation not only reduces manual errors by automating routine tasks like code integration and deployment but also improves system monitoring, security, and decision-making processes, transforming the landscape of software development and operations.

Introduction to Algorithms in DevOps Context

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Machine Learning Models for Predictive Analysis

03:27

The integration of machine learning models into DevOps practices is revolutionizing software delivery by enabling predictive analysis, automating routine tasks, and enhancing system monitoring. These capabilities allow for more efficient, reliable, and intelligent software pipelines, significantly improving the quality and speed of software development and deployment.

Machine Learning Models for Predictive Analysis

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Implementing Basic Machine Learning Projects

03:28

Cybersecurity is crucial in protecting data against evolving threats by employing advanced algorithms and encryption. Continuous innovation, user education, and stringent regulations are key to combating cyber threats and securing our digital future.

Implementing Basic Machine Learning Projects

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Automating Build and Deployment Processes

03:28

The integration of Artificial Intelligence (AI) into DevOps is revolutionizing software development by automating build and deployment processes, significantly reducing manual effort, errors, and time to market. AI-driven applications in continuous integration and deployment pipelines enhance efficiency, predict potential issues, ensure security compliance, and optimize resource management, leading to more reliable and efficient software delivery.

Automating Build and Deployment Processes

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ডাউনলোড করুন

Continuous Integration and Continuous Deployment (CI/CD) with AI

03:16

The integration of AI into Continuous Integration and Continuous Deployment (CI/CD) pipelines is revolutionizing DevOps by enhancing accuracy, efficiency, and predictability in software delivery. This advancement leverages AI's learning capabilities to predict failures, optimize resource management, automate testing, and ensure proactive post-deployment application monitoring, setting a new standard in automated and intelligent software development processes.

Continuous Integration and Continuous Deployment (CI/CD) with AI

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Strategies for AI-Driven Configuration Management

03:51

AI-driven configuration management revolutionizes IT operations by leveraging machine learning for predictive analysis, real-time anomaly detection, and automation of routine tasks, thus enhancing efficiency, reliability, and adaptability. By employing strategies such as predictive analytics, automation, and data-driven decision-making, organizations can improve their IT infrastructure management and prepare for future digital challenges.

Strategies for AI-Driven Configuration Management

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Using AI to Manage Deployment Pipelines

03:05

Artificial Intelligence (AI) is transforming DevOps by automating deployment tasks, optimizing resource utilization, and enhancing predictive analytics to prevent failures before they occur. This integration leads to more efficient, reliable, and automated software delivery pipelines, positioning AI as a critical component for future advancements in software development and operations.

Using AI to Manage Deployment Pipelines

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Case Studies in Deployment Automation

03:45

The integration of AI into DevOps, specifically in deployment automation, is transforming software delivery processes across industries by enabling predictive analytics, dynamic resource allocation, and automated testing. These AI-powered advancements lead to faster deployment, enhanced reliability, and improved application quality, offering a significant competitive edge in the digital landscape.

Case Studies in Deployment Automation

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ডাউনলোড করুন
সাপ্তাহিক অধ্যয়ন পরিকল্পনা
আপনার শেখার যাত্রা পরিকল্পনা করুন
AI আপনার সময় অনুযায়ী ব্যক্তিগত সময়সূচী তৈরি করে

প্রয়োজনীয়তা

1. Nu există cerințe sau pre-rechizite pentru acest curs, dar elementele listate mai jos sunt un ghid pentru cunoștințele de fond utile care vor crește valoarea și beneficiile acestui curs.

2. Înțelegere de bază a practicilor și principiilor DevOps.

3. Familiaritate cu codarea/scriptarea în cel puțin o limbă de programare.

4. Un nivel introductiv de cunoștințe în învățare automată și analiză de date.

লক্ষ্য শ্রোতা

1. DevOps Engineers seeking to integrate AI into their operations for enhanced efficiency and automation.

2. Software Developers aiming to optimize development workflows and improve code quality using AI tools.

3. IT Managers focusing on implementing AI-driven strategies for deployment, monitoring, and incident management.

4. Data Scientists interested in applying their skills in machine learning and predictive analytics within a DevOps context.

এই কোর্স সম্পর্কে

Ești pregătit să revoluționezi abordarea dezvoltării și operațiunilor software prin fuziunea de vârf a inteligenței artificiale și practicilor DevOps? Într-o eră în care eficiența, viteza și fiabilitatea definesc avantajul competitiv, integrarea IA în DevOps apărută ca strategia transformatoare pentru organizațiile care aspiră să fie pionere în domeniile lor. Acest curs cuprinzător este meticulos proiectat pentru a te ghida prin convergența AI și DevOps, ilustrându-ți cum să exploitezi capacitățile extraordinare ale AI pentru a-ți îmbunătăți practicile DevOps.

Echipa noastră, compusă din experți care au contribuit semnificativ la evoluția AI în dezvoltarea și operațiunile software, aduce cunoștințe și experiență de primă mână. Având navigat complexitățile implementării soluțiilor bazate pe IA în diverse sectoare, experții noștri sunt entuziasmați să împărtășească cunoștințele și experiențele lor. Acest curs s-a născut dintr-o pasiune autentică pentru inovare și impactul transformator al AI asupra DevOps - o sinergie care nu doar că accelerează sarcinile de dezvoltare și operaționale, dar le îmbunătățește remarcabil.

Relevanța acestui curs în lumea actuală, condusă de tehnologie, nu poate fi subestimată. Pe măsură ce organizațiile concurează pentru supremație în livrarea de produse software superioare cu viteză și precizie de neegalat, integrarea AI cu practicile DevOps prezintă o oportunitate de neratat. Această sinergie promite să redefinească normele dezvoltării software și eficienței operaționale, făcându-l un set de abilități crucial pentru profesioniștii care aspiră să conducă în domeniul tehnologic.

Porți-te pe o călătorie care te duce în inima DevOps alimentat de AI, explorând vastul peisaj de oportunități pe care îl prezintă. Aventura ta începe cu o scufundare profundă în principiile fundamentale ale AI, înțelegând rolul său în automatizarea și optimizarea sarcinilor DevOps. Vei traversa esențialele învățării automate, dezvăluind cum algoritmii și modelele pot fi folosite pentru a prezice rezultate, a liniariza fluxurile de lucru și a detecta anomalii chiar înainte de a apărea.

Curriculumul nostru structurat cu grijă te va ghida prin nuanțele automatizării implementării, ilustrând cum AI poate reduce semnificativ eforturile manuale în procesele de construire și implementare. Experimentează potențialul revoluționar al AI în pipeline-urile de integrare continuă și implementare continuă (CI/CD), permițând un proces automatizat, fără probleme.

ক্যারিয়ারের সুযোগ এবং লক্ষ্যযুক্ত কাজের পদ

ব্যবহারিক এবং কর্মোপযোগী দক্ষতা অর্জন করুন এবং বিশ্বব্যাপী শীর্ষস্থানীয় পদের জন্য আবেদন করুন

কাজের জন্য প্রস্তুত পাঠ্যক্রম
যেসব পদে আপনি আবেদন করতে পারেন

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

আনুমানিক বার্ষিক বেতন
$90,000 – $145,000 / yr
বিশ্বব্যাপী শিল্পের চাহিদা

High Global Tech Demand

যেসব মূল দক্ষতায় আপনি পারদর্শী হবেন
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* আনুমানিক তথ্য বিশ্বব্যাপী টেক নিয়োগের মানদণ্ড এবং বেতন প্রতিবেদনের উপর ভিত্তি করে।
আপনার প্রশিক্ষকের সাথে পরিচিত হন
Peter Alkema
প্রধান প্রশিক্ষক
Business | Technology | Self Development
"What an amazing course! After finishing this course, I have confidence. Thank so much Dr Peter Alkema" ... "This is exactly the jump-start I needed. Very clear and concise" I lead Digital Transformation & Architecture at ABB and I've been featured on CNBC Africa and won the Gartner CIO Of The Year in 2016. I founded and led the largest banking hackathon in South Africa which was published in 2019 as a case study by Harvard Business School. I've taught over 100,000 students about technology, business, academics and self-development. In 2020 I completed my PhD at Wits University In Johannesburg. The study introduced a ground-breaking theory of Agile software development teams. My woodworking book was published in 2014 and has sold over 10,000 copies. Olugbenga Gbadegesin: "Excellent delivery" / Lebogang Tswelapele: "This is what I have been longing for" / Paskalia Ndapandula: "Peter speaks with so much clarity" / Amantle Mangwedi: "It was straight to the point and the sections are cut into nice short segments which made it easier to go through" Kathy Bermudez: "Excellent material. Well organized..." Werner van Wyk: "Thank you Peter, once again your lesson and course have given me so much knowledge and understanding" / Yvonne Rudolph "I really look forward to take everything i learned in action" / Josephine Mahlangu: "exactly what I needed to know, absolutely valuable and helpful for my personal growth"...

শিক্ষার্থীরাও কিনেছে

যে সকল শিক্ষার্থীরা এই কোর্সটি দেখেছে তারাও এই শীর্ষ-রেটেড কোর্সে নথিভুক্ত হয়েছে

Program ESP32 without Coding
সর্বোচ্চ বিক্রিত
ফ্রি
আইটি ও সফটওয়্যার | হার্ডওয়্যার

Program ESP32 Board without writing a single code in A Professional Environment

5.0
2 ঘণ্টা 30 মি.
18 বক্তৃতা
সব
Using Al to Code: Your Step-by-Step Guide
আইটি ও সফটওয়্যার | হার্ডওয়্যার

Revolutionize Your Coding Skills with Al: A Comprehensive Guide for Beginners

5.0
2 ঘণ্টা
11 বক্তৃতা
সব
$10.99

$19.99

ISO 27001 Certification Process – A Step-by-Step Guide
আইটি ও সফটওয়্যার | তথ্য নিরাপত্তা

Master ISO 27001: Achieve Certification, Build Security, and Ensure Compliance for Your Organization

5.0
1 ঘণ্টা 30 মি.
10 বক্তৃতা
শিক্ষানবিস
$39.99

$54.99

Implement GRC (Governance, Risk, Compliance) Step by Step
আইটি ও সফটওয়্যার | গভর্নেন্স, রিস্ক অ্যান্ড কমপ্লায়েন্স (সিজিআরসি) এ সার্টিফাইড

Master GRC: Step-by-Step Guide to Implementing Governance, Risk, and Compliance for Business Success

5.0
2 ঘণ্টা 30 মি.
35 বক্তৃতা
মধ্যবর্তী
$39.99

$64.99

Mastering Arduino Data Streaming to Excel
আইটি ও সফটওয়্যার | আরডুইনো

Seamlessly Stream and Visualize Real-Time Data from Arduino into Excel with Ease

5.0
1 ঘণ্টা 30 মি.
6 বক্তৃতা
সব
$9.99

$34.99

Blogger: Make A Professional Website For Free With No Coding
আইটি ও সফটওয়্যার | অন্যান্য আইটি ও সফটওয়্যার

Learn how to create and customize a website with no prior coding experience.

5.0
1 ঘণ্টা 30 মি.
12 বক্তৃতা
সব
$9.99

$19.99

প্রায়শই জিজ্ঞাসিত প্রশ্নাবলী

এই কোর্স সম্পর্কে সবচেয়ে সাধারণ প্রশ্নের উত্তর খুঁজুন।

হ্যাঁ! কোর্স লেকচার এবং অ্যাসাইনমেন্টের 100% সম্পূর্ণ করার পরে, আপনি সরাসরি আপনার লুসেব্রা প্রোফাইল থেকে আপনার যাচাইকৃত ডিজিটাল সার্টিফিকেট অফ কমপ্লিশন ডাউনলোড করতে পারেন।

পদ্ধতি-এ আরও অন্বেষণ করুন

স্বীকৃত সার্টিফিকেট, সম্পর্কিত ই-বুক এবং লাইভ ক্লাসের মাধ্যমে আপনার শেখার পরিধি বাড়ান।