AI Pair Programming with GitHub Copilot (2025)
AI Pair Programming with GitHub Copilot (2025)
Released: 04/2025
Duration: 1h 32m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 230 MB
Level: Beginner | Genre: eLearning | Language: English
The future of programming is all about collaboration-humans working with machines to achieve exciting and unimagined results. AI pair programming, which integrates human- and machine-generated code, is a prime example of a tool that alleviates tedious, menial tasks to let developers focus their attention on higher-level concerns. In this course, instructor Ronnie Sheer shows you how to get the most out of GitHub Copilot, one of the most useful and impactful new tools for streamlining software development with AI.
Get a comprehensive introduction on how to use Copilot to integrate your coding with the latest AI technology. Ronnie goes over the major features of the application, focusing specifically on Python and JavaScript, and using back-end and front-end Copilot tools. By the end of this course, you'll be prepared to create data models, implement REST APIs, and write tests, client-side code and templates, HTML, CSS, and more.
Homepage:
Download link
rapidgator.net:
nitroflare.com:
AI Pair Programming with GitHub Copilot (2025)
Released: 04/2025
Duration: 1h 32m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 230 MB
Level: Beginner | Genre: eLearning | Language: English
The future of programming is all about collaboration-humans working with machines to achieve exciting and unimagined results. AI pair programming, which integrates human- and machine-generated code, is a prime example of a tool that alleviates tedious, menial tasks to let developers focus their attention on higher-level concerns. In this course, instructor Ronnie Sheer shows you how to get the most out of GitHub Copilot, one of the most useful and impactful new tools for streamlining software development with AI.
Get a comprehensive introduction on how to use Copilot to integrate your coding with the latest AI technology. Ronnie goes over the major features of the application, focusing specifically on Python and JavaScript, and using back-end and front-end Copilot tools. By the end of this course, you'll be prepared to create data models, implement REST APIs, and write tests, client-side code and templates, HTML, CSS, and more.
Homepage:
Код:
https://www.linkedin.com/learning/ai-pair-programming-with-github-copilot-25302433Screenshots
Download link
rapidgator.net:
Код:
https://rapidgator.net/file/0f9bc35aa1c20b5353e4528fd889e267/wpdol.AI.Pair.Programming.with.GitHub.Copilot.2025.rar.htmlnitroflare.com:
Код:
https://nitroflare.com/view/7B8BA7467DE5ECA/wpdol.AI.Pair.Programming.with.GitHub.Copilot.2025.rar
r. Yuliya Vershilo, - 10 years as Head at Compensation & Benefits & general HR, GRP certified- Developed and implemented large scale motivations platforms for different domains: IT, Corporate Banking, Retail Banking, Sales and Remote Channels / Contact Centers, Back Office at different banks, Including non-material motivation and EJM refactoring- Developed and Implemented HR analytics frameworks- Expert in HR market analysis and HR strategy developing and implementing- Expert in HR automatization and digitalization- Expert in budgeting and HR planning- Expert in HR regulationHuman Resource Management | Saint Petersburg State University of Finance and Economics, 2005Ph.D. in Economics| Saint Petersburg State University of Finance and Economics, 2009International GRP Certification: Global Remuneration Professional | CBSD Thunderbird - World at Work, 2019Grading Program | CBSD Thunderbird - World at Work, 2021 More than 19 years extensive experience in the field of HR management including:Talent acquisition and selection.Creating compelling Employee Value Propositions (EVPs),Training and development,Compensation and benefitsPeople analyticsCourse Overview:In fast-paced and data-driven world, the role of Human Resources (HR) has evolved significantly. No longer confined to administrative tasks, HR is now a key strategic partner, driving decisions that shape an organization's future. One powerful tool that has emerged to support this transformation is HR Analytics. In this part, we will explore what HR Analytics is, why it matters, and how professionals can harness its power to make informed decisions.What is HR Analytics?HR Analytics, also known as People Analytics or Workforce Analytics, involves the application of data analysis techniques to human resources data. Its main goal is to provide insights that help organizations make better HR decisions, such as improving employee performance, increasing retention rates, and optimizing recruitment processes.HR Analytics goes beyond merely collecting data; it uses statistical analysis, modeling, and machine learning to uncover patterns and trends that can impact the workforce. It's about turning raw data into actionable insights.HR Analytics is a transformative approach that enables HR professionals to contribute more strategically to their organizations. By leveraging data, HR teams can not only improve their operational efficiency but also align their efforts with broader business goals.As organizations become more data-focused, professionals equipped with HR Analytics skills will be invaluable assets, driving better talent management, improving employee experiences, and ultimately contributing to the long-term success of the organization. Whether you're just starting your HR journey or looking to enhance your expertise, mastering HR Analytics will open doors to new opportunities and help you stay ahead in the competitive HR landscape.The Importance of HR Analytics for Organizational SuccessIn rapidly evolving business environment, companies are increasingly recognizing that people are their greatest asset. The success of any organization largely hinges on how well it manages, engages, and retains its workforce. This is where Human Resource analytics comes into play. By leveraging data-driven insights, HR analytics transforms traditional HR processes into more strategic, objective, and predictive systems. It can significantly enhance decision-making, drive employee engagement, and boost overall organizational performance.1. Data-Driven Decision MakingHR analytics uses data to inform decisions. By analyzing data from recruitment, performance management, employee satisfaction surveys, and turnover rates, organizations can identify patterns and trends that would otherwise remain hidden. For example, data can highlight which recruitment channels provide the highest-quality hires or which departments are experiencing higher turnover rates and why.This shift to data-driven decision-making enables HR departments to move beyond reactive measures and adopt a proactive approach. Instead of reacting to employee turnover, companies can use predictive analytics to identify early warning signs of disengagement, allowing for timely intervention. As a result, HR becomes a strategic partner in the organization, contributing directly to business outcomes.2. Optimizing Recruitment and Talent ManagementOne of the key areas where HR analytics adds value is in recruitment. By analyzing historical hiring data, HR can identify the qualities and characteristics that predict future employee success, enabling more effective talent acquisition. This ensures not only that the right candidates are hired but also that they are placed in the right roles. HR analytics can help reduce hiring biases and improve diversity by relying on objective data to inform decisions.Moreover, once employees are hired, HR analytics plays a crucial role in performance management. It can track employee progress, highlight skills gaps, and recommend training or development programs tailored to individual needs. This data-driven approach to talent management increases productivity and ensures employees are continuously aligned with organizational goals.3. Enhancing Employee Retention and EngagementHigh employee turnover is costly for any organization. Replacing employees involves recruitment costs, training expenses, and productivity losses. HR analytics can help reduce turnover by identifying patterns and factors that contribute to employee dissatisfaction and disengagement. Through employee surveys, exit interviews, and performance data, HR can pinpoint the root causes of turnover-be it inadequate compensation, lack of career growth opportunities, or workplace culture.Analytics can also measure employee engagement levels across different teams or departments. By understanding what drives engagement and what doesn't, HR can implement targeted initiatives to improve job satisfaction, work-life balance, and overall workplace morale. This leads to higher retention rates, increased productivity, and a more committed workforce.4. Strategic Workforce PlanningAs businesses grow and adapt to market demands, workforce planning becomes a critical component of success. HR analytics helps organizations anticipate future workforce needs based on business trends, expansion plans, and attrition rates. With access to predictive models, HR can provide actionable insights into how many employees will be needed, what skills will be required, and where gaps may emerge.By aligning workforce planning with overall business strategy, HR analytics ensures that organizations are prepared to meet future challenges. This approach also helps organizations manage costs effectively by avoiding overstaffing or understaffing, both of which can harm business performance.5. Improving Compensation and Benefits StrategyEffective compensation and benefits strategies are key to attracting and retaining top talent. HR analytics provides insights into market trends, allowing companies to stay competitive in their offerings. By comparing compensation data across industries and regions, organizations can ensure that their salary structures are competitive and fair. Additionally, HR analytics can track employee benefits usage, helping companies design benefits packages that align with employee preferences, thus increasing satisfaction without unnecessary spending.HR analytics also plays a role in performance-based compensation, such as bonuses and incentives. By linking performance metrics to compensation, companies can ensure that high performers are rewarded appropriately, driving motivation and productivity.6. Creating an Inclusive Workplace CultureIn recent years, diversity, equity, and inclusion (DEI) have become critical focal points for organizations worldwide. HR analytics can play a pivotal role in tracking DEI metrics, such as gender representation, pay equity, and promotion rates among different demographic groups. By analyzing this data, organizations can identify areas where they may be falling short in terms of inclusivity and take steps to address these gaps.This leads to a more diverse and inclusive workforce, which research has shown to foster innovation, creativity, and better decision-making-ultimately contributing to organizational success.7. Reducing Costs and Improving EfficiencyBeyond talent management, HR analytics can drive cost savings and operational efficiencies. By automating routine HR tasks, such as payroll processing, attendance tracking, and benefits administration, analytics helps streamline processes and reduce administrative overhead. This frees up HR professionals to focus on more strategic activities that add value to the business.Additionally, HR analytics can optimize workforce scheduling, ensuring that the right number of employees are available at peak times, thereby reducing overtime costs and improving overall operational efficiency.8. Supporting Business StrategyUltimately, HR analytics bridges the gap between HR and broader business objectives. By aligning people-related data with organizational goals, HR can demonstrate its contribution to the company's bottom line. Analytics provides a clear picture of how HR initiatives-such as recruitment, training, employee engagement, and compensation-are impacting key performance indicators (KPIs) like revenue growth, profitability, and customer satisfaction.This shift transforms HR from a purely administrative function into a strategic partner that plays a critical role in driving business success. Organizations that embrace HR analytics are better equipped to adapt to changing market conditions, optimize their workforce, and achieve long-term growth.ConclusionHR analytics is a critical tool for any organization that aims to stay competitive in today's business landscape. By harnessing the power of data, HR can make more informed decisions, improve employee satisfaction and retention, and directly contribute to the organization's success. Companies that invest in HR analytics not only enhance their ability to manage their most important asset-people-but also gain a competitive edge in their respective industries.
