AI’s exponential growth over the past decade positions it as a key driver of technological advancements. Unlike traditional computing, AI operates autonomously, performing tasks without constant human supervision. Examples of AI applications, such as Alexa, Siri, Tesla cars, and drones, highlight its versatile capabilities, showcasing its potential to explore various technological dynamics.
How to Become an Artificial Intelligence Engineer?
Best AI Courses After 12th in India
BCA in Artificial Intelligence:
BE in Artificial Intelligence:
Masters in Artificial Intelligence
Online Certification and Diploma Courses
Responsibilities of an AI Engineer
Skills Required to Become an AI Engineer
Career Prospects after AI Masters
Understanding Artificial Intelligence:
The responsibilities of an AI engineer encompass a spectrum of tasks:
Frequently Asked Questions (FAQs):
What Does an AI Engineer Do?
The role of an AI engineer is multifaceted. These professionals build AI models using intricate machine learning algorithms and deep learning neural networks to extract valuable business insights. These insights, in turn, influence critical organisational decisions. Proficiency in programming, software engineering, and data science is paramount as AI engineers employ various tools and techniques to process data and develop and maintain AI systems.
AI engineers contribute to diverse AI applications, ranging from contextual advertising based on sentiment analysis to visual identification, language translation, and more.
How to Become an Artificial Intelligence Engineer?
When considering eligibility for artificial intelligence courses, you can pursue such a course after completing your schooling (after 10+2).
If you aim to qualify for graduation or a Master’s in AI from an Indian university, a 70% score is required, with at least 60% marks in Physics, Science, and Arithmetic.
Students must meet these requirements. Additionally, appearing for entrance tests like the National JEE or other exams such as SUAT, UPSEE, etc., may be necessary.
These certification programs cover diverse courses that collectively help learners understand:
1. Functioning of various AI-based algorithms |
2. Addressing issues related to robots and machines |
3. Creating AI applications and performing necessary programming |
4. Advancing the Capabilities of Robots |
Best AI Courses After 12th in India
If you’re keen on diving into the world of Artificial Intelligence (AI) after completing your 12th grade, there are several compelling courses to consider. These programs cater to a range of interests and career aspirations within the AI field. Let’s explore some notable options:
BTech in Artificial Learning:– Duration: 4 Years | Eligibility: 50% or above in 10+2 with PCM; University-specific entrance exams | Top Institutes: IIT-Bombay, HITAM-Hyderabad, IIT-Hyderabad |
Bachelor of Science in AI:– Duration: 4 Years | Eligibility: 50% or above in 10+2 with PCM; University-specific entrance exams | Top Institutes: GSC College of Modern Technology, Mohali; Nehru Arts and Science College, Coimbatore |
BCA in Artificial Intelligence:– Duration: 3 Years | Eligibility: 50% or above in 10+2 with PCM; University-specific entrance exams | Top Institutes: Jaipur National University, JECRC University, Jaipur; Christian College, Bangalore |
BE in Artificial Intelligence:– Duration: 4 Years | Eligibility: 50% or above in 10+2 with PCM; University-specific entrance exams | Top Institutes: Vivekananda Institute of Technology, Bangalore; Avinashlingam Institute of Home Science and Higher Education for Women, Coimbatore; Srinivas Institute of Technology, Mangalore. |
Masters in Artificial Intelligence
For those passionate about AI tasks and applications, pursuing a Master’s in Artificial Intelligence (MSc AI) is an ideal path. Renowned universities worldwide offer comprehensive programs that delve into advanced theories, computing systems, algorithms, and AI principles.
The course structure includes components like Artificial Intelligence Programming, Applications of Artificial Intelligence, AI Systems, AI Design, Cloud Computing, and Network Analysis. Entry requirements encompass the GRE Entrance Exam, an English Proficiency Test (IELTS/TOEFL/PTE), a CV/Resume, a Bachelor’s Degree in Computer Science, and Letters of Recommendation.
While studying abroad may seem costly, the investment in a Masters in Artificial Intelligence is deemed worthwhile. Scholarships and student loans can ease financial concerns. Tuition fees vary, with the United Kingdom ranging from USD 17,240 to USD 29,880, the USA from USD 24,470 to USD 48,000, and Canada from USD 19,340 to USD 33,604.
Top Countries for AI Masters
United States of America (USA): | – Renowned for expert programs in Machine Learning and Machine Intelligence. – Higher tuition costs, but diverse endowment opportunities and scholarships are available. | – Mandatory GRE entrance exam. |
Australia: | – Recognized for reliable statistical and deep learning in AI. – Cheaper tuition fees compared to the USA. | – GRE scores are required for admissions. |
Germany: | – Known for top engineering programs. – Public sector universities often offer education with no tuition fees. | – GRE scores are mandatory for admissions. |
Ireland: | – Technical universities are making progress in AI. – Student-friendly tuition fees with available student loans. | – GRE scores and English proficiency tests are required. |
Canada: | – Student-friendly facilities and education quality. – Considerably less expensive than the USA. | – GRE scores and English proficiency tests are requirements. |
United Kingdom: | – Highly considered education destination. – Comparatively cheaper tuition fees than the USA. | – GRE test scores may be required in some institutes. |
Online Certification and Diploma Courses
Artificial Intelligence Engineer Master’s Program -Simplilearn | INR 45,000 |
IBM Applied AI Professional Certificate -Coursera | INR 4,079 (1 Month) INR 8,159 (3 Months) INR 12,239 (6 Months) |
IBM AI Engineering Professional Certificate -Coursera | INR 4,079 (1 Month) INR 8,159 (3 Months) INR 12,239 (6 Months) |
MicroMasters Program in Artificial Intelligence by Columbia University- edX | INR 81,990 |
Artificial Intelligence Nanodegree Programs- Udacity | INR 77,676 |
Diploma in Artificial Intelligence and Machine Learning- DSEU New Delhi | INR 1,00,000 |
Diploma in Artificial Intelligence and Machine Learning- Acharya Nagarjuna University, Guntur | INR 75,000 |
Post Graduate Diploma in Artificial Intelligence- IIIT Delhi | INR 50,000 |
Post Graduate Diploma in Artificial Intelligence and Machine Learning- MIT World Peace University, Pune | INR 45,000 |
Executive Diploma in Artificial Intelligence- Mizoram University, Aizawl | INR 1,20,000 |
Responsibilities of an AI Engineer
The responsibilities of an AI engineer encompass a spectrum of tasks:
– Developing, testing, and deploying AI models using programming algorithms.
– Converting machine learning models into application program interfaces (APIs).
– Building data ingestion and transformation infrastructure.
– Automating infrastructure used by the data science team.
– Conducting statistical analysis to refine results for better-informed decisions.
– Setting up and managing AI development and product infrastructure.
Skills Required to Become an AI Engineer
Technical Skills
– Programming languages: Python, R, Java, C++ |
– In-depth knowledge of linear algebra, probability, and statistics. |
– Familiarity with Spark and big data technologies. |
– Understanding of machine learning algorithms and frameworks (PyTorch, TensorFlow). |
People Skills
– Effective communication skills to convey complex ideas to diverse audiences. |
– Problem-solving abilities essential for addressing real-time challenges. |
– Domain expertise to align AI solutions with organisational needs. |
– Time management and teamwork skills for productive collaboration. |
– Business intelligence for transforming technological ideas into commercial success. |
– Critical thinking ability for creative problem-solving. |
Career Prospects after AI Masters
AI jobs are highly sought after, with leading firms offering promising packages. Graduates contribute to the exciting evolution of AI-based devices, showcasing the interdisciplinary nature and real-world impact of AI education. Roles include Natural Language Processing, Machine Learning Engineer, Computer Vision Engineer, Network Analytics, Cloud Engineer, and Robotics.
AI Engineer Salary:
Glassdoor reports that the average annual salary for an AI engineer is $114,121 in the United States and ₹765,353 in India. Salaries may vary based on experience and expertise.
Understanding Artificial Intelligence:
At its essence, Artificial Intelligence is the capability of a computer system to imitate human behaviour. It involves machines learning from past data and actions, much like the innate intelligence displayed by humans and animals. The ultimate goal is to empower machines to perform tasks that typically demand human-like understanding and decision-making.
The role of an AI engineer is diverse. These professionals construct AI models using sophisticated machine learning algorithms and deep learning neural networks to extract valuable business insights. These insights, in turn, shape crucial organisational decisions. Proficiency in programming, software engineering, and data science is paramount, as AI engineers utilise various tools and techniques to process data and develop and maintain AI systems.
AI engineers contribute to a wide array of AI applications, spanning from contextual advertising based on sentiment analysis to visual identification, language translation, and more.
The responsibilities of an AI engineer encompass a spectrum of tasks:
Developing, testing, and deploying AI models using programming algorithms.
Converting machine learning models into application program interfaces (APIs).
Building data ingestion and transformation infrastructure.
Automating infrastructure used by the data science team.
Conducting statistical analysis to refine results for better-informed decisions.
Setting up and managing AI development and product infrastructure.
Conclusion:
Embarking on a career in Artificial Intelligence opens doors to diverse opportunities. Whether pursuing traditional degree programs or online certificates, building AI skills is key to thriving in this rapidly evolving field. As India’s AI landscape expands, investing in a specific course can enhance your efficiency and pave the way for a rewarding career.
In conclusion, the eligibility for AI courses depends on factors like educational background, entrance exams, and specific course requirements. Pursuing AI education early can open doors to a dynamic and growing field, with various courses available for different levels of expertise.
Frequently Asked Questions (FAQs):
Q1. What is an artificial intelligence course?
- An artificial intelligence course educates students on the fundamentals of artificial intelligence (AI), covering its history and contemporary applications. Whether for technological exploration or career opportunities, an AI course provides a solid starting point.
Q2.Is artificial intelligence difficult?
- Artificial intelligence (AI) involves creating intelligent systems capable of reasoning, learning, and autonomous action. Contrary to common belief, it’s not challenging to develop AI. Numerous open-source projects exist, making AI accessible. However, effective AI systems require substantial data and powerful processors.
Q3.Is AI a good career?
- AI has transformative potential across industries, offering substantial career growth opportunities. Pursuing a career in AI can be exciting and rewarding for those seeking challenges and innovation.
Q4.What courses can you pursue after your B.Tech in AI?
- Post-B.Tech in AI, you can pursue courses in programming, data mining, computer vision, and machine learning. Various programs, including BITS Pilani’s M. Tech, offer these courses.
Q5.Can I learn machine learning after a diploma?
- After a technical diploma or degree, learning machine learning is feasible. Online courses, DIY projects, or full-time university programs are options. Ensure you have the necessary skills before starting your studies.
Q6.Is it good to pursue a B.Tech in artificial intelligence being a girl?
- Pursuing a B.Tech in artificial intelligence is a wise decision for girls, offering opportunities in a rapidly growing industry with potential job creation and diverse roles.
Q7.Which degree should I pursue to become an AI engineer?
- To become an AI engineer, a degree in computer science or engineering is essential. The choice depends on career goals—computer science for research and development or engineering for commercial AI software development.
Q8.Does a bachelor’s degree in artificial intelligence exist?
- Yes, there are bachelor’s degree programs in artificial intelligence that typically require three years of study. Graduates can pursue careers in research and development.
Q9.Is it good for a finance student to study artificial intelligence?
- Studying artificial intelligence is beneficial for finance students planning to use AI in their careers. Consider the relevance to your future career before investing.
Q10. Which are the best colleges for artificial intelligence?
- Top colleges for AI include Virginia Tech, Stanford University, and MIT, offering renowned programs in artificial intelligence.
Q11. Which Indian universities offer a B.Tech in artificial intelligence?
- IIT Bombay, IIT Delhi, IIT Kharagpur, NIT Warangal, and IIM Ahmedabad are some top Indian universities offering B.Tech in AI.
