Are you fascinated by the world of artificial intelligence (AI)? Do you want to be part of the technological revolution shaping our future? If you have just completed your 12th grade and are looking for a promising career path, an artificial intelligence course in Delhi might be the perfect choice for you.
AI is rapidly transforming industries, from healthcare and finance to transportation and entertainment. This blog will provide a brief and easy-to-understand introduction to artificial intelligence courses available after 12th grade. Discover the exciting opportunities and potential career paths that await you in the fascinating realm of AI.
Artificial Intelligence Course By Jeetech Academy artificial intelligence course in delhi
What is Artificial Intelligence?
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves creating machines or programs that can learn, reason, and make decisions in a way similar to humans.
In simple terms, AI enables computers to think and learn like humans, allowing them to understand and interpret information, solve problems, and make predictions. AI systems can process large amounts of data, identify patterns, and continuously improve their performance through iterative learning.
AI has a wide range of uses and benefits across various fields:
Automation:
AI can automate repetitive or mundane tasks, freeing up human resources for more complex and creative work.
Personalization:
AI algorithms can analyze user preferences and behavior to provide personalized recommendations, such as in streaming services, online shopping, or personalized medicine.
Healthcare:
AI can assist in diagnosing diseases, analyzing medical images, and predicting patient outcomes, leading to improved healthcare delivery and better patient care.
Smart Assistants:
Virtual assistants like Siri, Alexa, or Google Assistant utilize AI to understand and respond to voice commands, perform tasks, and provide information or recommendations.
Fraud Detection:
AI algorithms can detect patterns and anomalies in financial transactions, helping identify potential fraud and enhancing security.
Autonomous Vehicles:
AI is a crucial component in self-driving cars, enabling them to perceive the environment, make decisions, and navigate safely.
Natural Language Processing:
AI enables machines to understand and process human language, leading to applications such as language translation, chatbots, and voice recognition systems.
Industrial Optimization:
AI can optimize manufacturing processes, supply chain management, and predictive maintenance, resulting in increased efficiency and reduced costs.
Terminologies in artificial intelligence (AI) refer to the specific terms or vocabulary used within the field to describe concepts, techniques, and processes. These terminologies help researchers, developers, and practitioners communicate and understand different aspects of AI. They represent the foundational building blocks and tools used in AI development and application.
Some common terminologies in artificial intelligence are as follows:
Machine Learning (ML):
Machine learning is a subset of AI that involves training machines to learn and make predictions or decisions based on data.
Deep Learning:
Deep learning is a specialized area of machine learning that uses artificial neural networks inspired by the human brain.
Neural Networks:
Neural networks are computational models that mimic the structure and function of the human brain. Neural networks are used in various AI applications like image recognition and natural language processing.
Natural Language Processing (NLP):
Natural language processing focuses on enabling computers to understand, interpret, and generate human language. It involves techniques to analyze and process text or speech, allowing machines to interact with humans using natural language.
Computer Vision:
Computer vision is a branch of AI that focuses on enabling machines to see and understand visual information from images or videos.
Reinforcement Learning:
Reinforcement learning is a type of machine learning where an AI agent learns through trial-and-error interactions with an environment.
Supervised Learning:
Supervised learning is a type of machine learning where the algorithm is trained on labeled data. The algorithm learns to make predictions by generalizing patterns from the labeled examples. For example, a supervised learning algorithm can learn to classify emails as spam or not spam based on labeled training data.
Unsupervised Learning:
Unsupervised learning is a type of machine learning where the algorithm learns from unlabeled data. It aims to discover hidden patterns or structures in the data without any prior knowledge or guidance.
Data Mining:
Data mining involves exploring and extracting useful information or patterns from large datasets. AI techniques are used to analyze the data and discover insights, correlations, or trends that can be valuable for decision-making and predictive analysis.
Top Artificial Intelligence course after 12th.
Top Artificial Intelligence courses after 12th are of two categories
- Diploma and certificate courses
- Bachelors degree Programs
Diploma and Certificate Courses
Course Name | Duration | Course Information |
AI for Everyone | Varies (usually weeks) | This course provides a broad introduction to artificial intelligence, covering key concepts, terminology, and real-world applications. It is designed for individuals who want to understand AI without prior technical knowledge. |
AI Fundamentals | Varies (usually weeks) | This course offers a foundational understanding of artificial intelligence, including machine learning and neural networks. It provides insights into AI algorithms, tools, and their application in various domains. |
Intro to Artificial Intelligence | Varies (usually weeks) | An introductory course that explores the basics of AI, including problem-solving, pattern recognition, and decision-making. Students gain exposure to AI techniques and their use in fields like robotics and natural language processing. |
Google AI Education | Self-paced | Google AI Education offers various online resources and courses to help individuals learn about AI concepts, tools, and applications. These resources cover topics ranging from machine learning to computer vision and natural language processing. |
Microsoft AI School | Self-paced | Microsoft AI School provides online learning materials, tutorials, and practical guidance for individuals interested in AI. The courses cover topics like deep learning, cognitive services, and AI ethics, with a focus on Microsoft technologies and tools. |
IBM AI Education | Self-paced | IBM AI Education offers free online courses and resources to help individuals understand and develop skills in AI. The courses cover various AI topics, such as machine learning, data science, and AI ethics. |
Bachelor's Degree Programs
Course Name | Duration | Eligibility | Course Information |
B.Tech in Artificial Intelligence | 4 years | 10+2 (Higher Secondary) with Science stream | This program focuses on providing a comprehensive understanding of AI, machine learning, data science, and related technologies. Students learn to develop AI systems, analyze data, and apply AI techniques in various domains. |
B.Sc. in Artificial Intelligence | 3 years | 10+2 (Higher Secondary) with Science stream | The B.Sc. program in AI covers fundamental concepts and techniques in AI, including machine learning, neural networks, computer vision, and natural language processing. Students gain practical skills through hands-on projects and coursework. |
B.Eng. in Artificial Intelligence | 3-4 years | 10+2 (Higher Secondary) with Science stream | This engineering program focuses on AI and its applications in areas like robotics, automation, and data analysis. Students gain expertise in AI algorithms, programming languages, and AI system development through a combination of theory and practical work. |
BCA Artificial Intelligence | 3 years | 10+2 (Higher Secondary) in any stream | The BCA program with a specialization in AI offers a blend of computer science and AI courses. It covers topics such as programming, data structures, AI algorithms, and application development, preparing students for careers in AI software development. |
BBA International Business with AI | 3 years | 10+2 (Higher Secondary) in any stream | This program combines the study of international business with a focus on AI technologies and their business applications. Students learn about global business practices, AI strategies, and how to leverage AI for competitive advantage in a global marketplace. |
B.Voc. in Artificial Intelligence | 3 years | 10+2 (Higher Secondary) in any stream | The B.Voc. program in AI provides vocational training in AI technologies, programming, and data analysis. It emphasizes practical skills development and prepares students for entry-level AI roles in various industries. |
Bachelor of AI | 3 years | 10+2 (Higher Secondary) in any stream | This specialized bachelor’s degree focuses solely on artificial intelligence. It covers core AI concepts, algorithms, and applications, preparing students for careers in AI research, development, and implementation across various sectors. |
Career opportunities in artificial intelligence course after 12th
After completing an artificial intelligence (AI) course after 12th grade, you open yourself up to a plethora of exciting career opportunities. Below are a brief description of some potential career paths:
AI Engineer/Developer:
As an AI engineer or developer, you’ll design and develop AI systems and applications, working with algorithms, machine learning models, and data analysis.Data Scientist:
With expertise in AI, you can become a data scientist who analyzes complex data to extract valuable insights and drive decision-making using AI techniques.AI Researcher:
As an AI researcher, you’ll contribute to advancing the field by exploring new algorithms, pushing the boundaries of AI capabilities, and developing innovative solutions.NLP Specialist:
Natural Language Processing specialists work on developing systems that understand and interpret human language, enabling applications like chatbots and language translation.Computer Vision Engineer:
With a focus on computer vision, you can work on developing systems that can process and understand visual information, such as object recognition and image analysis.Robotics Engineer:
AI plays a crucial role in robotics, and as a robotics engineer, you’ll design intelligent robots that can perceive their environment, make decisions, and perform tasks autonomously.AI Consultant:
As an AI consultant, you’ll provide guidance to businesses on implementing AI solutions, helping them harness the power of AI for improved efficiency and decision-making.AI Ethicist:
With the growing importance of ethics in AI, AI ethicists ensure responsible and unbiased AI practices, addressing concerns such as fairness, transparency, and privacy.AI Product Manager:
AI product managers oversee the development and management of AI-powered products or services, understanding market needs and guiding product strategy.AI Entrepreneur:
Armed with AI knowledge, you can start your own AI-focused venture, developing innovative AI solutions, products, or services to address specific industry challenges.
These are just a few examples of the many career opportunities available in the field of artificial intelligence. As AI continues to advance, new roles and opportunities are likely to emerge, making it an exciting and dynamic field to pursue a career.
Future of artificial intelligence
The future scope of artificial intelligence (AI) looks promising and exciting. In simple terms, AI is getting smarter and more capable every day.
We can expect AI to have a big impact on various aspects of our lives. For example, AI will continue to advance and improve technology like self-driving cars, smart homes, and virtual assistants. It will also make our lives more personalized, providing tailored recommendations for shopping, entertainment, and healthcare.
AI will bring automation to many industries, changing the job market and creating new opportunities. It will also contribute to important fields like healthcare, where it can help diagnose diseases, develop new treatments, and improve patient care.
As AI progresses, it will be important to ensure it is used ethically, responsibly, and in a way that benefits society as a whole. Overall, the future of AI holds great potential to enhance our lives, transform industries, and address societal challenges.
Conclusion
Pursuing an artificial intelligence course after 12th grade opens up diverse career paths. From AI engineering and data science to robotics and AI research, the opportunities are vast. Embrace the potential of AI, shape the future, and embark on a rewarding journey in this rapidly evolving field.