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Starting a career in artificial intelligence begins with exploring AI courses available after Class 12. This guide covers advanced programs, eligibility criteria, job opportunities, and future prospects.
Here, we discuss the nature of the course, starting from the basics and going further to higher-level courses like machine learning and deep learning with neural networks, as well as prospects, curriculum, and how students can gain competencies in this field. Let’s briefly talk about the AI courses after 12th standard.
Here is the list of AI courses after 12th to enhance your skills and knowledge for future growth.
If there is an opportunity, it is advisable to proceed to a bachelor’s degree, specifically in computer science, statistics, mathematics, or a related field, after completing grade 12. These fields offer a good grounding for entering the AI industry.
The first step is to enroll in online classes in artificial intelligence and related subjects. Many online learning platforms, such as Coursera, edX, Udemy, and Khan Academy, offer courses in AI, machine learning, deep learning, and so on. Many people's favorite ones are Andrew Ng's Machine Learning course on Coursera and Deep Learning Specialization on Coursera.
Basic knowledge and a good background in common AI programming languages like Python and RA are highly required. Another critical requirement for an AI is to know the data structures and algorithms that will be applied in its development.
Science related to AI is still progressing at a very steep rate, and this is why it is crucial to identify new tendencies and innovations. To implement this strategy, one should track what AI researchers are doing, whether reading research papers or subscribing to AI journals.
The Bachelor of Technology (BTech) or Bachelor of Engineering (BE) in Artificial Intelligence is a cutting-edge program designed to equip students with the skills necessary to create intelligent machines.
With a curriculum that blends computer science, cognitive psychology, and robotics, graduates emerge as innovators in AI development, ready to tackle complex problems and drive technological advancement.
The BTech in Computer Science with an AI specialization is a dynamic program that integrates the principles of artificial intelligence into the core computer science curriculum.
Students explore areas such as machine learning, natural language processing, and robotics, gaining hands-on experience with AI technologies. This degree prepares graduates for a rapidly evolving tech landscape, enabling them to design intelligent systems and applications.
With a strong emphasis on problem-solving and innovation, this program is ideal for those looking to lead the next wave of AI advancements in the tech industry.
An MTech, ME, or MSc in Artificial Intelligence is an advanced degree that immerses students in the intricacies of AI systems.
The program covers a broad spectrum of AI topics, including machine learning, robotics, and intelligent system design. Students learn to apply AI techniques to real-world problems, conduct significant research, and develop innovative solutions.
This degree is ideal for those with a strong foundation in computer science or related fields who aspire to become experts in AI and contribute to its evolution in the tech industry. Graduates often pursue careers in research, academia, or high-level AI development roles.
Certificate in Artificial Intelligence:
A Certificate in Artificial Intelligence offers a focused exploration into the world of AI. It covers fundamental concepts, including logic, knowledge representation, and autonomous agents. This program is perfect for professionals aiming to understand AI's impact on various industries.
Certificate in Machine Learning:
This certificate delves into predictive models and algorithms that enable machines to learn from data. Ideal for those in data-driven fields, it equips learners with skills to implement machine-learning solutions effectively.
Certificate in Deep Learning:
Deep Learning is at the forefront of AI advancements. This certificate program provides an in-depth understanding of neural networks and how they can be applied to complex tasks like image and speech recognition.
Certificate in Natural Language Processing (NLP):
The NLP certificate focuses on enabling machines to understand and interpret human language. It encompasses topics such as text analytics, sentiment analysis, and language generation, preparing students to create sophisticated NLP applications.
A Diploma in AI and Machine Learning is a specialized program that equips students with the essential skills to thrive in the AI industry.
The curriculum covers foundational topics such as statistics, programming, and data processing, along with advanced subjects like neural networks and predictive modeling. This hands-on course is designed for those seeking practical experience and knowledge in AI technologies.
Graduates are well-prepared to enter the workforce as AI specialists, capable of implementing machine learning algorithms and contributing to the advancement of intelligent systems in various sectors.
The Post Graduate Diploma in AI and Machine Learning is an intensive program designed to bridge the gap between academic concepts and real-world applications.
Students gain expertise in the latest AI technologies, including deep learning, neural networks, and predictive analytics. The curriculum is tailored to industry needs, ensuring that graduates are job-ready and have skills in designing AI solutions for complex problems.
This program is ideal for professionals with a foundational understanding of computer science who wish to specialize in AI and machine learning to advance their careers in this dynamic field.
A Ph. D. in Artificial Intelligence is a highly competitive and academically focused program designed to encourage Creativity and Research at the elite level.
The performers learn various aspects of AI and make meaningful additions to its best practices. This intensive course often entails the creation of new algorithms, enhancement of machine learning approaches, or expansion of insights into the values and consequences of artificial intelligence.
The degree holders find employment with a research focus, as team leaders or scientific researchers, or in the field as driving change in the development of AI technologies. The notion is an excellent fit for individuals interested in the advancement of what machines can come to know and perform.
Therefore, choosing artificial intelligence courses after 12th has numerous benefits that any candidate with an interest in this course should embrace. Suppose you intend to secure jobs in this field. In that case, you should know the various programs, the eligibility to undertake them, and the available job opportunities in the area of artificial intelligence to ensure you make the right choices throughout your education.
