Artificial Intelligence Courses in India after 12th

Summary: Explore top Artificial Intelligence courses in India after 12th. Discover BTech, BSc, and certificate options to kickstart your AI career. Learn about eligibility, top colleges, and career prospects in this booming field.

Introduction

Artificial Intelligence has become one of the most popular technologies of the modern times. From food to finance, every industry is relying on AI to automate its operations and enhance efficiency.  

The use of AI for enabling machines and computers to perform like the human brain is substantially proven to ease up different tasks. Significantly, Artificial Intelligence has become one of the most lucrative career paths today.

Aspirants willing to take up Artificial Intelligence courses after 12th have various options to choose from graduate level courses in different domains of AI to online certification courses.

If you’re willing to choose a career in AI and want to opt for some of the best Artificial Intelligence Courses for Beginners, the following blog will help you do the same.

Overview of Artificial Intelligence

Artificial Intelligence refers to the simulation of human intelligence in machines programmed to think and learn like humans. AI encompasses various technologies, including Machine Learning, natural language processing, robotics, and data analytics.

The growing reliance on AI across industries such as healthcare, finance, and technology has created numerous job opportunities, making it an attractive field for students.

Best Artificial Intelligence Courses after 12th in India

Students can choose from several undergraduate courses related to AI after completing their 12th grade. Here are some of the most popular options:

B.Tech in Artificial Intelligence

This program covers various aspects of AI, including Machine Learning, neural networks, data mining, and robotics. Students learn to develop intelligent systems and applications.

Duration: 4 years

Eligibility: Students must have completed 10+2 with Physics, Chemistry, and Mathematics (PCM) and typically need to pass entrance exams like JEE Main or specific university entrance tests.

Top Colleges: Indian Institutes of Technology (IITs) like IIT Bombay, IIT Hyderabad, and National Institutes of Technology (NITs) such as NIT Surathkal and NIT Delhi are among the leading institutions offering this course.

Career Prospects: Graduates can pursue careers as AI engineers, software developers, data scientists, and Machine Learning engineers, with an average salary ranging from INR 6 to 12 lakhs per annum.

B.Sc in Artificial Intelligence

The B.Sc program focuses on the theoretical and practical aspects of Artificial Intelligence, including programming, data analysis, and system design. Students gain hands-on experience in developing AI applications.

Duration: 3 years

Eligibility: A minimum of 50% in 10+2 with PCM is required, along with entrance exam scores for some institutions.

Top Colleges: Notable institutions include GSC College of Modern Technology in Mohali and Nehru Arts and Science College in Coimbatore.

Career Prospects: Graduates can work as data analysts, software engineers, or Machine Learning engineers, with salaries typically ranging from INR 4 to 8 lakhs per annum.

BCA in Artificial Intelligence

The BCA program emphasises programming languages, software development, and AI technologies, preparing students for various roles in the IT industry.

Duration: 3 years

Eligibility: Students from any stream can apply, provided they have a minimum of 50% in their 12th grade.

Top Colleges: Jaipur National University, JECRC University in Jaipur, and Christian College in Bangalore are prominent institutions offering this course.

Career Prospects: Graduates can become software developers, IT analysts, or AI architects, with average salaries ranging from INR 3 to 6 lakhs per annum.

BE in Artificial Intelligence

The BE program combines theoretical knowledge with practical skills in AI, focusing on advanced computer systems and AI frameworks.

Duration: 4 years

Eligibility: Similar to B.Tech, students must have PCM in their 12th grade and may need to pass entrance exams.

Top Colleges: Institutions like Vivekananda Institute of Technology in Bangalore and Avinashilingam Institute for Home Science in Coimbatore offer this program.

Career Prospects: Graduates can work as data scientists, network engineers, or AI researchers, with salaries ranging from INR 5 to 10 lakhs per annum.

BBA in International Business with AI

This interdisciplinary program combines business management principles with AI applications in international business, covering subjects like business law and disruptive technologies.

Duration: 3 years

Eligibility: Students must have completed 10+2 with a minimum of 60% marks.

Top Colleges: AIBS in NOIDA is a notable institution offering this course.

Career Prospects: Graduates can pursue careers in business analytics, AI project management, and international business strategy, with salaries typically ranging from INR 4 to 8 lakhs per annum.

Diploma in Artificial Intelligence

This diploma program provides a foundational understanding of AI, covering topics like Machine Learning and data analytics.

Duration: 1 to 3 years

Eligibility: Students must have a minimum of 35% in their 12th grade. 

Career Prospects: Graduates can find entry-level positions in IT and AI-related fields, with salaries starting from INR 2.5 lakhs per annum.

Delving Deeper into AI Courses Post-12th: Specialised Tracks and Beyond

While a foundational understanding of AI is essential, specialised tracks can provide a deeper dive into specific applications and domains. Beyond the classroom, practical experience is crucial for career success. To cater to diverse interests and career goals, many institutions offer specialised AI course tracks:

AI and Data Science

This track equips students with the skills to extract meaningful insights from vast datasets. AI and Data Science combine statistical methods, Machine Learning algorithms, and data visualisation techniques to solve complex problems. Graduates can pursue roles in Data Analytics, Business Intelligence, and Machine Learning engineering.

AI and Robotics

At the intersection of AI and engineering, this track focuses on developing intelligent machines that can interact with the physical world. Students learn about robotics, control systems, and sensor fusion. Career paths include robotics engineer, automation specialist, and AI researcher in robotics.

AI and Cyber Security

As cyber threats evolve, the need for AI-driven security solutions grows. This track covers topics like anomaly detection, threat intelligence, and ethical hacking. Graduates can work as cybersecurity analysts, AI security engineers, or digital forensics experts.

AI for Healthcare

This track leverages AI to address critical challenges in healthcare, such as disease diagnosis, drug discovery, and personalised medicine. Students learn about medical image analysis, natural language processing in healthcare, and AI-powered healthcare systems. Potential career paths include biomedical engineer, healthcare data scientist, and AI researcher in healthcare.

AI for Finance

This track explores the application of AI in the financial industry, including algorithmic trading, fraud detection, risk assessment, and customer relationship management. Graduates can work as quantitative analysts, financial risk analysts, or AI-driven financial consultants.

Scope of Artificial Intelligence in India

India is rapidly emerging as a global AI hub. Its vast talent pool, increasing computational power, and government support are propelling the AI revolution. From agriculture to healthcare, finance to education, AI is transforming industries.

The demand for skilled AI professionals is soaring, creating lucrative job opportunities. With continuous advancements and government initiatives, the scope of AI in India is immense, promising a future driven by innovation and technological progress.

Building a Successful AI Career: Key Skills and Strategies

To excel in the dynamic field of AI, a robust skill set is essential. While technical proficiency is undoubtedly crucial, it’s equally important to cultivate a well-rounded skill set that encompasses both technical and soft skills.

Core Technical Competencies

A strong foundation in programming languages, mathematics, and statistics is essential. This knowledge empowers AI professionals to develop, implement, and refine complex algorithms and models that drive innovation and problem-solving in the field.

Programming Languages

Python remains the industry standard due to its versatility and extensive libraries. However, proficiency in languages like R, Java, or C++ can expand your toolkit.

Mathematics and Statistics

A strong foundation in linear algebra, calculus, probability, and statistics is indispensable for understanding and developing AI algorithms.

Machine Learning

A deep grasp of various algorithms, techniques, and their applications is necessary for building effective models.

Deep Learning

Expertise in neural networks, CNNs, RNNs, and their architectures is crucial for tackling complex problems in image, text, and sequential data.

Data Engineering

The ability to efficiently collect, clean, process, and prepare large datasets is fundamental to AI development.

Natural Language Processing (NLP)

Understanding NLP techniques is essential for working with text data, enabling tasks like sentiment analysis, machine translation, and information extraction.

Computer Vision

Proficiency in computer vision techniques is required for applications involving image and video analysis, such as object detection, image recognition, and video understanding.

Cloud Platforms

Familiarity with cloud platforms like AWS, GCP, or Azure is essential for deploying and scaling AI models efficiently.

AI Frameworks and Libraries

Proficiency in popular frameworks like TensorFlow, PyTorch, and Keras will accelerate your development process.

Essential Soft Skills

To excel in the AI domain, it is crucial to acquire the technical skill, but the growth is not just defined by technical skills. Beyond technical expertise, soft skills significantly impact your success in an AI career.

Problem Solving and Critical Thinking

The ability to analyse complex challenges, break them down into manageable components, and develop innovative solutions is paramount.

Communication and Collaboration

Effective communication with both technical and non-technical stakeholders is crucial for project success. The AI field thrives on new ideas and approaches. Cultivate a creative mindset to develop groundbreaking solutions.

Adaptability and Continuous Learning

The AI landscape evolves rapidly. A strong ability to adapt to new technologies and learn continuously is essential.

Conclusion

Embarking on an AI journey after 12th can be an exciting and rewarding choice. With dedication, hard work, and a passion for technology, you can carve a successful career in this dynamic field. 

Carefully consider your interests, academic background, and career goals to select the right AI course and institution. Remember, the future of technology is in your hands!

Frequently Asked Questions

What is the Difference Between Machine Learning and Deep Learning?

Machine Learning is a subset of AI that involves training computers to learn from data without explicit programming. Deep learning is a specialised form of Machine Learning that uses artificial neural networks to model complex patterns in data.

How Can AI Be Used in Healthcare?

AI has various applications in healthcare, including disease diagnosis, drug discovery, personalised treatment plans, and medical image analysis. AI algorithms can analyse vast amounts of medical data to identify patterns and make accurate predictions.

What are the Ethical Concerns Surrounding AI?

AI raises ethical questions such as bias in algorithms, job displacement, privacy concerns, and autonomous weapons. It’s essential to develop AI systems that are fair, transparent, and aligned with human values to mitigate these risks.