{"id":5461,"date":"2026-04-29T09:30:18","date_gmt":"2026-04-29T04:00:18","guid":{"rendered":"https:\/\/www.lpu.in\/blog\/?p=5461"},"modified":"2026-04-29T11:17:37","modified_gmt":"2026-04-29T05:47:37","slug":"is-b-tech-cse-artificial-intelligence-and-data-analytics-the-right-course-for-you","status":"publish","type":"post","link":"https:\/\/www.lpu.in\/blog\/is-b-tech-cse-artificial-intelligence-and-data-analytics-the-right-course-for-you\/","title":{"rendered":"Is B.Tech. (CSE) &#8211; Artificial Intelligence and Data Analytics the right course for you?"},"content":{"rendered":"<div class=\"pld-like-dislike-wrap pld-template-1\">\r\n    <div class=\"pld-like-wrap  pld-common-wrap\">\r\n    <a href=\"javascript:void(0)\" class=\"pld-like-trigger pld-like-dislike-trigger  \" title=\"\" data-post-id=\"5461\" data-trigger-type=\"like\" data-restriction=\"cookie\" data-already-liked=\"0\">\r\n                        <i class=\"fas fa-thumbs-up\"><\/i>\r\n                <\/a>\r\n    <span class=\"pld-like-count-wrap pld-count-wrap\">    <\/span>\r\n<\/div><\/div><ul>\n<li><a href=\"#introduction\">Where Logic Meets Intelligence<\/a><\/li>\n<li><a href=\"#who-should\">Who Should Consider This AI-Focused Engineering Degree?<\/a><\/li>\n<li><a href=\"#what-you-learn\">What You\u2019ll Learn as an AI and Data Analytics Student?<\/a><\/li>\n<li><a href=\"#career-vision\">Aligning the Programme with Your Career Vision<\/a><\/li>\n<li><a href=\"#skills-mindset\">Skills and Mindset Required to Succeed in AI<\/a><\/li>\n<li><a href=\"#cse-difference\">How Does This Programme Differ from Traditional CSE Degrees?<\/a><\/li>\n<li><a href=\"#career-scope\">Career Scope and Industry Acceptance of AI Graduates<\/a><\/li>\n<li><a href=\"#trends\">Current Trends Shaping AI and Data Analytics Careers<\/a><\/li>\n<li><a href=\"#alumni-success\">Alumni Success Stories: From Campus to Tech Careers<\/a><\/li>\n<li><a href=\"#projects-research\">Role of Projects, Research, and Innovation<\/a><\/li>\n<li><a href=\"#final-words\">Final Words<\/a><\/li>\n<li><a href=\"#faqs\">Frequently Asked Questions (FAQs)<\/a><\/li>\n<\/ul>\n<h2 id=\"introduction\"><b>Where Logic Meets Intelligence<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Artificial Intelligence (AI) and Data Analytics are no longer buzzwords\u2014they are shaping how industries function, decisions are made, and innovations are developed. From recommendation systems on streaming platforms to self-driving cars and predictive healthcare models, AI is everywhere. A <\/span><a href=\"https:\/\/www.lpu.in\/programmes\/b-tech-computer-science-engineering-artificial-intelligence-intelligence-and-data-analytics\"><span style=\"font-weight: 400;\">B.Tech. (CSE) in Artificial Intelligence and Data Analytics<\/span><\/a><span style=\"font-weight: 400;\"> blends core computer science with intelligent computing, enabling students to build systems that learn, adapt, and improve over time. This programme is ideal for students who are curious about how machines think, how data can be used to predict outcomes, and how intelligent technologies can solve real-world problems. As organizations increasingly rely on data-driven decisions, the demand for professionals skilled in AI and analytics continues to grow rapidly. Choosing this course means stepping into a future-oriented field where logic meets intelligence and innovation becomes a career.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Students pursuing this specialization gain exposure to real-world datasets and practical problem-solving scenarios. They learn how intelligent systems are designed, tested, and deployed in different industries. The course also encourages interdisciplinary learning by connecting AI with domains like healthcare, finance, and smart cities. Hands-on projects help students understand how algorithms work in real-life applications. With the growth of automation, AI professionals are becoming essential in modern workplaces. The program also builds strong analytical thinking and decision-making abilities. Students develop the capability to transform raw data into meaningful insights. Overall, this course prepares learners to contribute to technology-driven innovation in a rapidly evolving digital world.<\/span><\/p>\n<h3 id=\"who-should\"><b>Who Should Consider This AI-Focused Engineering Degree?<\/b><\/h3>\n<p><strong>This programme is best suited for students who:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Have interest in mathematics, logic, and problem-solving<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enjoy coding and working with technology<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Are curious about machine learning, automation, and smart systems<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Want to work in emerging technology domains<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Aspire to build products using data-driven insights<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Like exploring real-world data and drawing meaningful conclusions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Are comfortable learning new tools and technologies continuously<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Have interest in innovation and developing intelligent solutions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enjoy working on projects that combine creativity with technical skills<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Students who like analyzing patterns, interpreting data, and building intelligent applications will find this course highly rewarding. Even if you are new to AI concepts, a strong willingness to learn and adapt is more important than prior knowledge.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you see yourself working on technologies like chatbots, recommendation engines, autonomous systems, or predictive analytics, then this specialization could be the right path.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Did you know?<\/b><b><br \/>\n<\/b>\u00a0AI is expected to create millions of new job roles globally in areas like data science, automation, and intelligent system design.Students with AI skills are often valued for their ability to combine analytical thinking with real-world problem solving.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 id=\"what-you-learn\"><strong>What You\u2019ll Learn as an AI and Data Analytics Student<\/strong><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The curriculum of this programme is designed to combine core computing knowledge with\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI-specific skills. Students typically study:<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00a0Programming fundamentals (Python, Java, C++)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00a0Data structures and algorithms<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Database management system<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00a0Machine learning concepts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Artificial intelligence fundamental<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data analytics and visualization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deep learning and neural networks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Big data technologies\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Natural language processing\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer vision<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Apart from theory, the course emphasizes hands-on learning through labs, projects, and real-world datasets. Students learn to collect, clean, analyze, and interpret data to extract meaningful insights. The programme also introduces students to tools like Python libraries, data analytics platforms, and machine learning frameworks used in industry.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Students also work on mini-projects to apply theoretical knowledge to real-world problems.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Collaborative assignments help learners improve teamwork and communication skills.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">Exposure to industry case studies enhances practical understanding of AI applications. This structured learning approach prepares students for internships and future AI-driven career opportunities.<\/span><\/p>\n<h3 id=\"career-vision\"><b>Aligning the Programme with Your Career Vision<\/b><\/h3>\n<p>Before choosing any specialization, it\u2019s important to align it with your career goals. AI and Data Analytics open doors to multiple roles such as:<\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI Engineer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Analyst<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Machine Learning Engineer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Scientist<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Business Intelligence Developer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">NLP Engineer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer Vision Engineer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Analytics Consultant<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If your vision is to work in cutting-edge technology fields, AI offers strong opportunities. Many industries such as healthcare, finance, e-commerce, cybersecurity, and robotics actively recruit AI professionals. This course prepares students not just for jobs but also for entrepreneurship and research opportunities.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI-driven roles allow students to work on innovative solutions such as smart healthcare diagnostics, automated financial analysis, and intelligent recommendation systems. With strong technical foundations, graduates can contribute to developing scalable applications that solve real-world challenges. The programme also encourages entrepreneurial thinking, enabling students to build AI-based startups focused on automation, analytics, and digital innovation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Students interested in research can explore advanced domains like deep learning, natural language processing, and computer vision. Exposure to projects and innovation activities helps learners identify problems and create unique solutions. This combination of career, entrepreneurship, and research pathways makes AI and Data Analytics a versatile and future-ready specialization for aspiring technology professionals.<\/span><\/p>\n<h3 id=\"skills-mindset\"><b>Skills and Mindset Required to Succeed in AI<\/b><\/h3>\n<p><strong>To excel in AI and Data Analytics, students should develop:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Strong analytical thinking<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Programming skills<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Mathematical reasoning<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Problem-solving ability<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Curiosity for experimentation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Logical approach to challenges<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Continuous learning mindset<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">AI is a rapidly evolving domain. Students must stay updated with new technologies and tools. Those who enjoy exploring new ideas and building intelligent solutions often perform well in this field.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Additionally, developing teamwork and communication skills is equally important, as many AI projects involve collaborative problem-solving. Students should also focus on building small projects, participating in coding challenges, and practicing with real-world datasets. This hands-on approach strengthens conceptual understanding and helps learners apply theoretical knowledge effectively in practical scenarios, preparing them for future AI-driven career opportunities.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Did you know?<\/b><b><br \/>\n<\/b>Many AI professionals build their first portfolios through small personal projects and coding challenges. Employers often value problem-solving ability and practical experience as much as academic knowledge in AI-related roles.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 id=\"cse-difference\"><strong>How Does This Programme Differ from Traditional CSE Degrees?<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Traditional <a href=\"https:\/\/www.lpu.in\/programmes\/engineering\/b-tech-computer-science\">Computer Science Engineering<\/a> focuses on general computing concepts such as operating systems, networking, and software development. In contrast, AI and Data Analytics specialization adds machine learning techniques, predictive modeling, data-driven decision making, AI algorithms, big data processing, and automation technologies. These additional components shift the focus from traditional software development to intelligent systems that can analyze data, learn patterns, and support smarter decision-making.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This specialization provides deeper exposure to intelligent systems and analytics, making graduates more industry-ready for AI-related roles. Students gain hands-on experience with real-world datasets, AI tools, and analytics platforms, which enhances their practical understanding. By combining core computer science fundamentals with AI-driven applications, the programme prepares learners to work in emerging domains such as machine learning, data science, and intelligent automation.<\/span><\/p>\n<h3 id=\"career-scope\"><b>Career Scope and Industry Acceptance of AI Graduates<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The demand for AI professionals is increasing globally. Organizations across sectors are investing heavily in artificial intelligence and data analytics to improve efficiency and innovation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Graduates in AI and Data Analytics find opportunities in IT companies, analytics firms, startups, financial institutions, healthcare organizations, e-commerce companies, and research labs. These diverse sectors rely on AI to automate processes, enhance customer experience, and make data-driven decisions. As a result, professionals with AI expertise can explore multiple career paths and work in both technical and strategic roles.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The career growth in AI is also strong due to high demand and continuous technological advancements. Many companies prefer candidates with specialization in AI over general computer science roles. With experience, professionals can move into advanced positions such as AI engineer, data scientist, or analytics consultant. This growing demand ensures long-term career stability and opportunities for innovation in a rapidly evolving technology landscape.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Did you know?<\/b><\/p>\n<p><b><\/b>AI is being adopted not only by tech companies but also by industries like agriculture, education, and logistics. Professionals with AI and data analytics skills often have access to diverse career opportunities across multiple domains.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 id=\"trends\"><strong>Current Trends Shaping AI and Data Analytics Careers<\/strong><\/h3>\n<p><span style=\"font-weight: 400;\">Some key trends influencing AI careers include generative AI technologies, automation and robotics, predictive analytics in business, AI-driven cybersecurity, smart healthcare solutions, natural language processing applications, and big data integration. These advancements are transforming how organizations operate, making AI professionals highly valuable across multiple industries. As businesses increasingly depend on intelligent systems, professionals skilled in AI and data analytics are playing a crucial role in developing efficient and innovative solutions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These trends highlight the long-term relevance of AI and Data Analytics specialization. With continuous technological evolution, new applications of AI are emerging in areas such as finance, education, manufacturing, and transportation. Students trained in AI gain the flexibility to adapt to changing industry demands and explore diverse career opportunities. By understanding current trends and building strong technical foundations, graduates can contribute to future innovations and remain competitive in the rapidly growing technology landscape.<\/span><\/p>\n<h3 id=\"alumni-success\"><b>Alumni Success Stories: From Campus to Tech Careers<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Many graduates from AI-focused programmes have moved into roles such as data scientists, AI developers, and analytics engineers. Students often work on industry projects during their course, which helps build strong portfolios.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"> With practical exposure and technical skills, graduates secure roles in technology-driven companies, analytics startups, and innovation-focused organizations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These success journeys often begin with internships, live projects, and mentorship opportunities during the programme. Alumni frequently highlight how hands-on learning, exposure to real-world datasets, and participation in innovation challenges helped them develop confidence and industry-ready skills. Their experiences demonstrate that consistent practice, project work, and strong technical foundations can open doors to diverse career paths in artificial intelligence and data analytics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition, many alumni continue to grow in specialized domains such as machine learning, business analytics, and AI product development. Their career progression often includes working on complex data-driven solutions, leading innovation teams, or contributing to research initiatives. These achievements reflect how strong academic foundations combined with practical exposure can support long-term career growth in the evolving field of artificial intelligence.<\/span><\/p>\n<h3 id=\"projects-research\"><b>Role of Projects, Research, and Innovation<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Projects play a vital role in AI education. Students work on predictive analytics systems, chatbots and virtual assistants, image recognition models, recommendation systems, and fraud detection solutions. These projects help students understand how AI algorithms function in real-world scenarios and allow them to experiment with different tools and technologies. By working on such applications, learners develop practical coding skills, improve analytical thinking, and gain confidence in building intelligent solutions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Research opportunities also allow students to explore advanced AI concepts and emerging technologies. Through guided research, students can dive deeper into areas like deep learning, natural language processing, and computer vision. This exposure encourages innovation and critical thinking while helping learners stay updated with industry advancements. Engaging in projects and research not only strengthens technical knowledge but also enhances portfolios, which plays an important role in internships and future career opportunities.<\/span><\/p>\n<h3 id=\"final-words\"><b>Final Words<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">B.Tech. (CSE) \u2013 Artificial Intelligence and Data Analytics<\/span><span style=\"font-weight: 400;\"> is a forward-looking programme designed for students who want to build careers in intelligent technologies. It combines computer science fundamentals with advanced analytics skills, preparing students for future technology roles.<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\"> If you are passionate about innovation, problem-solving, and emerging technologies, this course can be a strong career choice.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The programme also provides opportunities to work on real-world projects, internships, and innovation-driven activities that enhance practical knowledge. Students gain exposure to emerging domains like machine learning, automation, and data-driven decision making, which are highly valued across industries. With continuous technological advancements, professionals trained in AI and data analytics are expected to play a key role in shaping smart solutions for businesses, healthcare, finance, and many other sectors.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition, this specialization helps students develop adaptable skills that remain relevant in a rapidly evolving technology landscape. The combination of technical expertise, analytical thinking, and hands-on experience prepares graduates to handle complex challenges and contribute to innovation. As industries continue to embrace intelligent systems, professionals with AI and data analytics knowledge are likely to remain in high demand, making this programme a strong foundation for long-term career growth.<\/span><\/p>\n<h2 id=\"faqs\"><b>Frequently Asked Questions (FAQs)<\/b><\/h2>\n<p><b>Q1. Is AI and Data Analytics a good career option?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> Yes, it is one of the fastest-growing technology fields with high demand across industries.<\/span><\/p>\n<p><b>Q2. Do I need prior coding knowledge?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> No, basic programming is taught from the beginning.<\/span><\/p>\n<p><b>Q3. What are the career options after this degree?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> AI engineer, data analyst, machine learning engineer, and more.<\/span><\/p>\n<p><b>Q4. Is mathematics important for AI?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> Yes, basic mathematical concepts help in understanding algorithms.<\/span><\/p>\n<p><b>Q5. Is this better than traditional CSE?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> It depends on your interest; AI specialization offers focused career opportunities.<\/span><\/p>\n<p><b>Q6. Can I pursue higher studies after this?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> Yes, students can opt for M.Tech, MS, or research in AI-related domains.<\/span><\/p>\n<p><b>Q7. Will this course include practical projects?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> Yes, students typically work on real-world datasets, AI models, and analytics-based projects to build hands-on skills.<\/span><\/p>\n<p><b>Q8. Which industries hire AI and Data Analytics graduates?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400;\"> Industries such as IT, healthcare, finance, e-commerce, robotics, and consulting actively recruit AI professionals.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Where Logic Meets Intelligence Who Should Consider This AI-Focused Engineering Degree? What You\u2019ll Learn as an AI and Data Analytics Student? Aligning the Programme with Your Career Vision Skills and Mindset Required to Succeed in AI How Does This Programme Differ from Traditional CSE Degrees? Career Scope and Industry Acceptance of AI Graduates Current Trends [&hellip;]<\/p>\n","protected":false},"author":90,"featured_media":5258,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"tdm_status":"","tdm_grid_status":"","footnotes":""},"categories":[141,1,16],"tags":[],"class_list":{"0":"post-5461","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"category-career-guide","9":"category-programme-career-guidance"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/posts\/5461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/users\/90"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/comments?post=5461"}],"version-history":[{"count":9,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/posts\/5461\/revisions"}],"predecessor-version":[{"id":5582,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/posts\/5461\/revisions\/5582"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/media\/5258"}],"wp:attachment":[{"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/media?parent=5461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/categories?post=5461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lpu.in\/blog\/wp-json\/wp\/v2\/tags?post=5461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}