Supporting business decision-making<\/li>\n<\/ul>\n\n\n\nAI works through technologies such as Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI, and data-driven algorithms.<\/p>\n\n\n\n
The important point is that AI is not only for software engineers. Marketing, finance, healthcare, education, e-commerce, manufacturing, customer service, and many other industries are using AI to improve productivity and efficiency.<\/p>\n\n\n\n
Why Learn Artificial Intelligence Today?<\/h2>\n\n\n\n
The workplace is changing quickly. Businesses are looking for professionals who can use technology to solve problems faster and make better decisions.<\/p>\n\n\n\n
Learning Artificial Intelligence can help you understand how modern intelligent systems are developed and used. More importantly, practical AI knowledge can help you adapt as businesses introduce new AI-powered tools and workflows.<\/p>\n\n\n\n
Instead of simply using AI applications, learners can develop an understanding of how AI works, where it can be applied, and how AI-based solutions can be created.<\/strong><\/p>\n\n\n\nThis makes AI education valuable for people who want to build a technology-focused career as well as professionals who want to add AI skills to their existing field.<\/p>\n\n\n\n
Artificial Intelligence Course by NYD India<\/h2>\n\n\n\n
NYD India focuses on practical, career-oriented education that helps learners move beyond theoretical concepts.<\/p>\n\n\n\n
The Artificial Intelligence course is structured to introduce students to important areas of AI while helping them understand how these technologies are used in real-world situations.<\/p>\n\n\n\n
Depending on the learner’s background and course structure, important areas may include:<\/p>\n\n\n\n
\n- Artificial Intelligence fundamentals<\/li>\n\n\n\n
- Machine Learning concepts<\/li>\n\n\n\n
- Deep Learning<\/li>\n\n\n\n
- Neural Networks<\/li>\n\n\n\n
- Natural Language Processing<\/li>\n\n\n\n
- Computer Vision<\/li>\n\n\n\n
- Generative AI<\/li>\n\n\n\n
- AI tools and applications<\/li>\n\n\n\n
- Prompt Engineering<\/li>\n\n\n\n
- AI automation<\/li>\n\n\n\n
- Data analysis fundamentals<\/li>\n\n\n\n
- AI project development<\/li>\n\n\n\n
- Industry-oriented applications<\/li>\n<\/ul>\n\n\n\n
The objective is to make the learning process easier to understand for beginners while gradually introducing more advanced concepts.<\/p>\n\n\n\n
Learn AI Through Practical Understanding<\/h2>\n\n\n\n
One of the biggest challenges in technology education is the gap between classroom theory and practical application.<\/p>\n\n\n\n
Knowing definitions is not enough. Students need to understand how AI technologies are used to solve actual problems.<\/p>\n\n\n\n
A practical Artificial Intelligence learning approach can involve working with datasets, exploring AI tools, understanding models, creating projects, analysing results, and experimenting with different AI applications.<\/p>\n\n\n\n
This type of learning helps students build confidence and develop problem-solving skills instead of simply memorising concepts.<\/p>\n\n\n\n
Who Can Join an Artificial Intelligence Course?<\/h2>\n\n\n\n
An AI course can be suitable for a wide range of learners.<\/p>\n\n\n\n
Students<\/h3>\n\n\n\n
Students interested in technology can start developing AI skills early and explore potential career paths in the technology sector.<\/p>\n\n\n\n
Fresh Graduates<\/h3>\n\n\n\n
Graduates can use Artificial Intelligence skills to strengthen their resumes and develop an additional technical skill set.<\/p>\n\n\n\n
Working Professionals<\/h3>\n\n\n\n
Professionals from IT, marketing, finance, business, operations, and other sectors can learn AI to improve their productivity and adapt to technology-driven workplaces.<\/p>\n\n\n\n
Entrepreneurs<\/h3>\n\n\n\n
Business owners can learn how AI can support customer service, content creation, data analysis, automation, marketing, and everyday business operations.<\/p>\n\n\n\n
Beginners<\/h3>\n\n\n\n
You do not necessarily need to be an advanced programmer to start exploring AI. A structured course can help beginners understand the fundamentals step by step.<\/p>\n\n\n\n
Career Opportunities After Learning AI<\/h2>\n\n\n\n
Artificial Intelligence is connected to numerous technology and business roles. Depending on your educational background, experience, and technical skills, AI knowledge can support career paths such as:<\/p>\n\n\n\n
\n- AI Developer<\/li>\n\n\n\n
- Machine Learning Engineer<\/li>\n\n\n\n
- AI Engineer<\/li>\n\n\n\n
- Data Analyst<\/li>\n\n\n\n
- AI Automation Specialist<\/li>\n\n\n\n
- Prompt Engineer<\/li>\n\n\n\n
- NLP Specialist<\/li>\n\n\n\n
- Computer Vision Professional<\/li>\n\n\n\n
- Data Scientist<\/li>\n\n\n\n
- Generative AI Professional<\/li>\n<\/ul>\n\n\n\n
Career opportunities and job requirements vary by company and role, so learners should focus on building genuine practical skills alongside their certification.<\/p>\n\n\n\n
AI and Generative AI: What’s the Difference?<\/h2>\n\n\n\n
Generative AI has become one of the most talked-about areas of Artificial Intelligence.<\/p>\n\n\n\n
Traditional AI systems are often designed to analyse information, identify patterns, classify data, or make predictions. Generative AI can create new content based on learned patterns.<\/p>\n\n\n\n
For example, generative AI systems can assist with:<\/p>\n\n\n\n
\n- Text generation<\/li>\n\n\n\n
- Image creation<\/li>\n\n\n\n
- Code generation<\/li>\n\n\n\n
- Audio generation<\/li>\n\n\n\n
- Video creation<\/li>\n\n\n\n
- Content summarisation<\/li>\n\n\n\n
- Research assistance<\/li>\n\n\n\n
- Creative ideation<\/li>\n<\/ul>\n\n\n\n
Understanding Generative AI alongside fundamental AI concepts can give learners a broader view of how modern AI applications are developing.<\/p>\n\n\n\n
Why Practical AI Skills Matter<\/h2>\n\n\n\n
Technology changes quickly. Tools that are popular today may evolve or be replaced tomorrow.<\/p>\n\n\n\n
That is why learning only one software tool is not enough.<\/p>\n\n\n\n
A strong AI learning foundation should help students understand concepts, experiment with different tools, analyse problems, and learn how to adapt to new technologies.<\/p>\n\n\n\n
At NYD India, the focus on practical and industry-oriented learning can help learners approach AI from this broader perspective.<\/p>\n\n\n\n
Build a Strong AI Portfolio<\/h2>\n\n\n\n
A certificate can demonstrate that you completed a course, but a portfolio can show what you can actually do.<\/p>\n\n\n\n
Students learning Artificial Intelligence should consider building practical projects around real-world problems.<\/p>\n\n\n\n
For example:<\/p>\n\n\n\n
AI Chatbot:<\/strong> Create a chatbot capable of answering questions from a specific knowledge base.<\/p>\n\n\n\nPredictive Model:<\/strong> Develop a basic model that analyses historical data and produces predictions.<\/p>\n\n\n\nAI Content Assistant:<\/strong> Build a workflow that uses AI for content research, summarisation, or ideation.<\/p>\n\n\n\nImage Recognition Project:<\/strong> Explore how computer vision models can identify or classify images.<\/p>\n\n\n\nAI Automation Project:<\/strong> Design an automated workflow that reduces repetitive business tasks.<\/p>\n\n\n\nProjects like these can help learners understand concepts more deeply while giving them something practical to discuss during interviews.<\/p>\n\n\n\n
Artificial Intelligence for Business<\/h2>\n\n\n\n
AI is not limited to technology companies.<\/p>\n\n\n\n
A digital marketing team can use AI for content research, customer segmentation, campaign analysis, and automation.<\/p>\n\n\n\n
An e-commerce business can use AI for product recommendations and customer support.<\/p>\n\n\n\n
A financial organisation can use AI for data analysis and risk-related applications.<\/p>\n\n\n\n
Healthcare organisations can use AI for research, image analysis, and administrative workflows.<\/p>\n\n\n\n
Manufacturing companies can explore AI for quality control, predictive maintenance, and process optimisation.<\/p>\n\n\n\n
This wide range of applications explains why AI knowledge is becoming useful across different industries.<\/p>\n\n\n\n
Why Choose NYD India for Artificial Intelligence Learning?<\/h2>\n\n\n\n
Choosing an AI training institute is an important decision. Students should look beyond advertisements and evaluate the overall learning experience.<\/p>\n\n\n\n
NYD India’s approach focuses on helping learners understand technology through structured education and practical exposure.<\/p>\n\n\n\n
Key aspects to consider include:<\/p>\n\n\n\n
\n- Industry-oriented Artificial Intelligence curriculum<\/li>\n\n\n\n
- Practical learning approach<\/li>\n\n\n\n
- Beginner-friendly concepts<\/li>\n\n\n\n
- AI tools and modern technologies<\/li>\n\n\n\n
- Project-based learning opportunities<\/li>\n\n\n\n
- Career-focused guidance<\/li>\n\n\n\n
- Support for developing practical skills<\/li>\n<\/ul>\n\n\n\n
Before enrolling, students should review the latest course curriculum, duration, fees, project structure, and available learning support directly with NYD India.<\/p>\n\n\n\n
The Future Belongs to AI-Ready Professionals<\/h2>\n\n\n\n
Artificial Intelligence will continue to influence how people work, communicate, analyse information, and build businesses.<\/p>\n\n\n\n
However, AI is not simply about replacing human work. In many situations, the biggest advantage comes from combining human creativity, judgement, communication, and problem-solving with intelligent technology.<\/p>\n\n\n\n
Professionals who understand how to work alongside AI may have an advantage as businesses continue adopting new digital systems.<\/p>\n\n\n\n
Learning AI today can therefore be an investment in long-term professional development.<\/p>\n\n\n\n
Artificial Intelligence Course by NYD India \u2013 Build Skills for the AI-Powered Future<\/h1>\n\n\n\n
Artificial Intelligence has moved from being a futuristic idea to becoming an important part of modern business and technology. Today, AI is helping companies automate routine work, understand customers, analyse information, create content, improve services, and make faster decisions.<\/p>\n\n\n\n
For students and professionals, this transformation creates an important opportunity: learning how to work with Artificial Intelligence before AI becomes a basic requirement across more job roles.<\/strong><\/p>\n\n\n\nNYD India offers Artificial Intelligence training designed to help learners understand the fundamentals of AI while exploring practical applications and modern AI technologies.<\/p>\n\n\n\n
The Growing Importance of Artificial Intelligence<\/h2>\n\n\n\n
Think about how many digital services you interact with every day. Search engines recommend information, streaming platforms suggest content, online stores recommend products, banking systems monitor transactions, and customer-service platforms use intelligent chatbots.<\/p>\n\n\n\n
Behind many of these experiences are AI technologies.<\/p>\n\n\n\n
The growth of AI is also changing the skills employers look for. Technical knowledge remains important, but organisations increasingly value professionals who can identify opportunities to use AI effectively.<\/p>\n\n\n\n
This means learning AI is not only about becoming an AI engineer. It can also mean learning how to use AI to become more productive, analytical, and competitive in your existing profession.<\/strong><\/p>\n\n\n\nWhat Students Can Expect to Learn<\/h2>\n\n\n\n
A comprehensive Artificial Intelligence course should cover both foundational concepts and practical applications.<\/p>\n\n\n\n
At NYD India, learners can explore areas such as:<\/p>\n\n\n\n
1. AI Fundamentals<\/h3>\n\n\n\n
Students begin by understanding what Artificial Intelligence is, how AI systems work, and where AI is used.<\/p>\n\n\n\n
This foundation helps learners understand more advanced concepts without feeling overwhelmed.<\/p>\n\n\n\n
2. Machine Learning<\/h3>\n\n\n\n
Machine Learning is one of the most important branches of AI.<\/p>\n\n\n\n
Learners can understand how computers identify patterns from data and use those patterns to make predictions or decisions.<\/p>\n\n\n\n
3. Deep Learning<\/h3>\n\n\n\n
Deep Learning uses neural networks to handle complex problems involving large amounts of data.<\/p>\n\n\n\n
It has applications in image recognition, speech processing, recommendation systems, and many other areas.<\/p>\n\n\n\n
4. Natural Language Processing<\/h3>\n\n\n\n
Natural Language Processing, commonly known as NLP, allows computers to work with human language.<\/p>\n\n\n\n
Chatbots, translation systems, text classification, sentiment analysis, and AI writing assistants are examples of NLP applications.<\/p>\n\n\n\n
5. Computer Vision<\/h3>\n\n\n\n
Computer Vision enables machines to interpret visual information.<\/p>\n\n\n\n
It can be used for image classification, object detection, facial recognition, quality inspection, and other visual applications.<\/p>\n\n\n\n
6. Generative AI<\/h3>\n\n\n\n
Generative AI has transformed the way people create and interact with technology.<\/p>\n\n\n\n
Students can explore how AI can assist with text, images, code, audio, video, brainstorming, research, and other creative or professional tasks.<\/p>\n\n\n\n
7. Prompt Engineering<\/h3>\n\n\n\n
The quality of an AI response often depends on how effectively instructions are written.<\/p>\n\n\n\n
Prompt Engineering teaches learners how to communicate with AI systems more precisely to obtain useful and consistent results.<\/p>\n\n\n\n
8. AI Automation<\/h3>\n\n\n\n
AI becomes even more powerful when combined with automation.<\/p>\n\n\n\n
Learners can explore how AI can be integrated into workflows to reduce repetitive tasks and improve efficiency.<\/p>\n\n\n\n
Learn More Than Just AI Tools<\/h2>\n\n\n\n
There is a major difference between using an AI tool<\/strong> and understanding Artificial Intelligence<\/strong>.<\/p>\n\n\n\nAnyone can open an AI application and type a question. Professional AI skills involve understanding:<\/p>\n\n\n\n
\n- What problem should AI solve?<\/li>\n\n\n\n
- Which AI technology is suitable?<\/li>\n\n\n\n
- What data is required?<\/li>\n\n\n\n
- How should the output be evaluated?<\/li>\n\n\n\n
- What are the limitations of the system?<\/li>\n\n\n\n
- How can AI be integrated into a business process?<\/li>\n\n\n\n
- How can human judgement be included in the workflow?<\/li>\n<\/ul>\n\n\n\n
These questions encourage students to think beyond individual tools and develop a stronger understanding of AI.<\/p>\n\n\n\n
AI Skills for Non-Technical Professionals<\/h2>\n\n\n\n
You do not have to completely change your career to benefit from Artificial Intelligence.<\/p>\n\n\n\n
For example, a digital marketer can use AI for research, content planning, campaign analysis, customer insights, and automation.<\/p>\n\n\n\n
A business professional can use AI for reporting, data interpretation, documentation, and workflow optimisation.<\/p>\n\n\n\n
A content creator can explore AI-assisted writing, image generation, video production, and idea development.<\/p>\n\n\n\n
A sales professional can use AI for lead research, customer communication, and sales analysis.<\/p>\n\n\n\n
This makes AI a valuable cross-functional skill.<\/p>\n\n\n\n
Artificial Intelligence and the Indian Job Market<\/h2>\n\n\n\n
India has one of the world’s largest technology and services ecosystems. As businesses continue investing in digital transformation, AI-related skills are becoming increasingly relevant.<\/p>\n\n\n\n
However, students should avoid choosing an AI career simply because it is trending.<\/p>\n\n\n\n
A successful career requires more than completing a course. Learners need to develop practical knowledge, communication skills, problem-solving ability, project experience, and a willingness to keep learning.<\/p>\n\n\n\n
An AI course can provide the foundation, but continuous practice is what turns knowledge into professional capability.<\/p>\n\n\n\n
From Classroom Learning to Real-World Projects<\/h2>\n\n\n\n
Projects can make technical education much more meaningful.<\/p>\n\n\n\n
Instead of only studying how an AI model works, students can experiment with practical use cases.<\/p>\n\n\n\n
For example, imagine developing an AI-based customer-support assistant. The project could involve understanding the problem, preparing information, designing prompts or models, testing responses, identifying incorrect outputs, and improving the system.<\/p>\n\n\n\n
Similarly, an image-based AI project could involve collecting data, preparing images, training or using a model, testing its performance, and analysing the results.<\/p>\n\n\n\n
This process teaches something that textbooks alone cannot provide: how to approach an unfamiliar problem.<\/strong><\/p>\n\n\n\nBuild Your AI Portfolio<\/h2>\n\n\n\n
Students should consider documenting their projects while learning.<\/p>\n\n\n\n
An AI portfolio can include:<\/p>\n\n\n\n
\n- Project descriptions<\/li>\n\n\n\n
- Problem statements<\/li>\n\n\n\n
- Technologies used<\/li>\n\n\n\n
- Screenshots<\/li>\n\n\n\n
- Results<\/li>\n\n\n\n
- Challenges faced<\/li>\n\n\n\n
- Solutions implemented<\/li>\n\n\n\n
- GitHub repositories where applicable<\/li>\n\n\n\n
- Demonstration videos<\/li>\n\n\n\n
- Project documentation<\/li>\n<\/ul>\n\n\n\n
A portfolio can help you explain your skills more effectively during interviews and professional discussions.<\/p>\n\n\n\n
Artificial Intelligence and Entrepreneurship<\/h2>\n\n\n\n
AI is also creating opportunities for entrepreneurs.<\/p>\n\n\n\n
Small businesses can use AI to improve productivity without building complicated systems from scratch.<\/p>\n\n\n\n
Potential applications include:<\/p>\n\n\n\n
\n- Automated customer support<\/li>\n\n\n\n
- Marketing content workflows<\/li>\n\n\n\n
- Data analysis<\/li>\n\n\n\n
- Business reporting<\/li>\n\n\n\n
- Lead qualification<\/li>\n\n\n\n
- Personalised communication<\/li>\n\n\n\n
- Internal knowledge assistants<\/li>\n\n\n\n
- Document processing<\/li>\n\n\n\n
- Workflow automation<\/li>\n<\/ul>\n\n\n\n
Entrepreneurs who understand AI can identify tasks that consume time and explore whether automation can improve those processes.<\/p>\n\n\n\n
Responsible Use of Artificial Intelligence<\/h2>\n\n\n\n
Learning AI also means understanding its limitations.<\/p>\n\n\n\n
AI-generated information can sometimes be inaccurate. Models may produce incorrect answers, misunderstand context, or reflect problems present in their training data.<\/p>\n\n\n\n
Professionals therefore need to develop the habit of reviewing AI outputs instead of accepting every result automatically.<\/p>\n\n\n\n
Responsible AI use involves:<\/p>\n\n\n\n
\n- Verifying important information<\/li>\n\n\n\n
- Protecting confidential data<\/li>\n\n\n\n
- Understanding model limitations<\/li>\n\n\n\n
- Maintaining human oversight<\/li>\n\n\n\n
- Evaluating outputs<\/li>\n\n\n\n
- Using AI ethically<\/li>\n\n\n\n
- Considering privacy and security<\/li>\n<\/ul>\n\n\n\n
These skills are becoming increasingly important as AI becomes more widespread.<\/p>\n\n\n\n
How AI Can Improve Productivity<\/h2>\n\n\n\n
One of the biggest benefits of AI is its ability to assist with repetitive and time-consuming activities.<\/p>\n\n\n\n
For example, AI can help professionals:<\/p>\n\n\n\n
Research faster:<\/strong> Organise information and generate initial research directions.<\/p>\n\n\n\nWrite efficiently:<\/strong> Create first drafts, summaries, outlines, and variations.<\/p>\n\n\n\nAnalyse information:<\/strong> Identify patterns and organise large amounts of data.<\/p>\n\n\n\nAutomate repetitive work:<\/strong> Connect AI with workflows to reduce manual processes.<\/p>\n\n\n\nGenerate ideas:<\/strong> Assist with brainstorming and creative development.<\/p>\n\n\n\nThe goal is not necessarily to let AI do everything. The smarter approach is to use AI for tasks where it can provide assistance while humans remain responsible for judgement and final decisions.<\/p>\n\n\n\n
Why Start Learning Artificial Intelligence Now?<\/h2>\n\n\n\n
Technology skills often take time to develop.<\/p>\n\n\n\n
Waiting until every company demands AI experience can make the learning curve more difficult. Starting earlier gives learners time to experiment, build projects, make mistakes, and understand how the technology works.<\/p>\n\n\n\n
AI is also evolving quickly. New models, applications, and workflows are appearing regularly.<\/p>\n\n\n\n
The most valuable skill may therefore not be mastering one particular AI tool. It may be developing the ability to learn, adapt, experiment, and solve problems using AI.<\/strong><\/p>\n\n\n\nChoosing NYD India for AI Training<\/h2>\n\n\n\n
When selecting an Artificial Intelligence institute, students should evaluate the complete learning experience rather than choosing a course based only on advertisements.<\/p>\n\n\n\n
Important factors include:<\/p>\n\n\n\n
\n- Course curriculum<\/li>\n\n\n\n
- Practical learning<\/li>\n\n\n\n
- Project exposure<\/li>\n\n\n\n
- Trainer expertise<\/li>\n\n\n\n
- Learning resources<\/li>\n\n\n\n
- Industry relevance<\/li>\n\n\n\n
- Student support<\/li>\n\n\n\n
- Career guidance<\/li>\n\n\n\n
- Course duration<\/li>\n\n\n\n
- Fees and payment options<\/li>\n<\/ul>\n\n\n\n
NYD India’s AI training approach aims to provide learners with structured exposure to Artificial Intelligence and its modern applications.<\/p>\n\n\n\n
Prospective students should confirm the latest syllabus, modules, fees, duration, projects, and other course details directly with NYD India before enrolling.<\/p>\n\n\n\n
Who Can Benefit Most From AI Training?<\/h2>\n\n\n\n
Artificial Intelligence education can be particularly useful for people who are:<\/p>\n\n\n\n
Students:<\/strong> Looking to build future-focused technical skills.<\/p>\n\n\n\nGraduates:<\/strong> Wanting to strengthen their professional profile.<\/p>\n\n\n\nIT Professionals:<\/strong> Interested in expanding into AI and related technologies.<\/p>\n\n\n\nDigital Marketers:<\/strong> Looking to combine marketing expertise with AI-powered workflows.<\/p>\n\n\n\nEntrepreneurs:<\/strong> Wanting to understand how AI can improve business operations.<\/p>\n\n\n\nContent Professionals:<\/strong> Interested in AI-assisted content creation.<\/p>\n\n\n\nCareer Changers:<\/strong> Exploring opportunities in the technology sector.<\/p>\n\n\n\nThe Human Side of Artificial Intelligence<\/h2>\n\n\n\n
Despite all the discussion around automation, human skills remain extremely valuable.<\/p>\n\n\n\n
AI can generate information, analyse patterns, and automate tasks. But people still need to define goals, understand customers, make strategic decisions, communicate with teams, evaluate results, and take responsibility.<\/p>\n\n\n\n
The professionals who benefit most from AI may be those who combine technical awareness with human creativity and judgement.<\/strong><\/p>\n\n\n\nThat is why learning Artificial Intelligence should not be viewed only as learning technology. It is about learning how technology can be used to solve problems.<\/p>\n\n\n\n
Final Word<\/h2>\n\n\n\n
Artificial Intelligence is changing the way organisations operate and professionals work. From Machine Learning and NLP to Generative AI and automation, the technology offers a broad range of possibilities.<\/p>\n\n\n\n
For anyone planning a technology-focused career\u2014or simply wanting to stay relevant in a changing workplace\u2014AI education can be a valuable investment.<\/p>\n\n\n\n
The Artificial Intelligence Course<\/a> by NYD India<\/strong> provides learners with an opportunity to explore AI concepts, tools, applications, and practical approaches in a structured learning environment.<\/p>\n\n\n\nThe future of work will not simply belong to people who know AI. It will increasingly belong to people who know how to use AI intelligently, responsibly, and creatively.<\/strong><\/p>\n\n\n\n<\/p>\n","protected":false},"excerpt":{"rendered":"
Artificial Intelligence is no longer a concept limited to science-fiction movies or research laboratories. From chatbots and recommendation systems to automated business operations and intelligent software, AI is becoming part of everyday life. As companies across industries adopt AI technologies, the demand for professionals who understand and can work with Artificial Intelligence is growing rapidly. […]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[147,146,144],"class_list":["post-4248","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-ai","tag-artificial-intelligence","tag-nyd-india"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/posts\/4248","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/comments?post=4248"}],"version-history":[{"count":1,"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/posts\/4248\/revisions"}],"predecessor-version":[{"id":4249,"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/posts\/4248\/revisions\/4249"}],"wp:attachment":[{"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/media?parent=4248"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/categories?post=4248"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.nydindia.com\/blog\/wp-json\/wp\/v2\/tags?post=4248"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}