Do you want to invest in a career that is growing faster and more interesting than your OTT playlist? A
BTech in AI and Machine Learning is just the right thing. No, it isn’t only about creating robots or making Sci-fi a reality. This degree is future proofing with high salary, great roles and the superpower to dip your toes in any industry your desire. The biggest glow-up? Jobwise, you’ll be the new Midas in town. Even NASSCOM says India needs one million AI pros by 2030!
What is BTech in AI and Machine Learning
It’s essentially making computers think, learn and take decisions in a flash. Here. Students learn to read numbers, predict trends, solve problems, identify patterns and basically make interpretations and decisions easier.
This degree focuses on core areas like machine learning, deep learning, neural networks, and data science, with a curriculum that includes both foundational and advanced courses.
Core subjects: Basics in AI and Machine Learning, Deep Learning, Data Structures, Database Management Systems, and Programming languages like Python and others .
Skills: Students learn to design intelligent systems that enhance automation, decision-making, and human-machine interactions.
Salaries: Begin from Rs 5 lakh to above Rs 50 lakh.
Impact: What the numbers say
- India’s AI could automate 50% work activities by 2030 and create 20 million new jobs, says a McKinsey report.
- AI is expected to add USD $15 Trillion to the economy, thanks to Data Scientists and ML Engineers.
- Predictive Analytics careers will spawn 60% healthcare AI adoption in India in the future.
BTech AI and ML in Real Life
- Social media feeds based on what you like to scroll
- Online shopping lists curated by amazon basis your past shopping pattern
- Navigation Apps like Google Maps
- Health and fitness apps like Apple, Fitbit
DID YOU KNOW
- In 2000, MIT launched the first robot named Kismet. This sensor fitted robot displayed human emotions with expressive eyes, ears, and mouth.
- AI hasn’t fully perfected poetry, it still struggles with rhyming!
- AI can detect fake smiles with 90 percent accuracy
- The first ML model in 1957–Perceptron-was designed to imitate neurons of the human brain.
Trending Skills in AI & ML
- Natural Language Processing (NLP)
- Prompt Engineering
- Deep Learning
- Generative AI
- Data Science and Analytics
- AI Ethics
- Machine Learning
Careers
1. Robotics Engineer: Designs, develops, and tests software and hardware for robots, serving industries from manufacturing to medicine.
Skills: Proficiency in Programming languages like C++, Python and expertise in AI, ML, sensors, software like CAD.
2. Data Analyst: Detects valuable trends and patterns extracted from data.
Skills: Proficiency in programming languages like Python, deep understanding of Big Data & cloud computing.
3. Natural Language Processing Engineer (NLP): Fuses AI and linguistics to help machines understand, interpret and generate human language for chatbots and other applications.
Skills: adept at Language modelling and linguistics, knowledge of Programming and NLP frameworks.
4. Data Scientist: Expertise with numbers, patterns and storytelling and is critical for businesses.
Skills: Proficient in machine learning, programming (with languages like Python, Julia, SQL). knowledge of cloud engineering and data integration tools.
5. Data Analyst: Analyses trends and helps businesses take more strategic decisions.
Skills: Knowledge of Machine Learning, Data visualisation, programming languages like Python.
6. Generative AI Specialist: Adept at developing advanced AI models specialising in content generation and creative application.
Skills: Knowledge of NLP and Data Processing, Programming and Frameworks, Machine Learning and Deep Learning.
The Amity Differentiator
- Ticket to the world stage: Whether you’re aiming to be an insights sleuth through researcher or a data miner wanting to prove your mettle to the planet, Amity provides internship opportunities with top industry giants and research projects.
- Toolkit for a Byte Hero: Students are encouraged to have a design thinking mindset by unearthing every possible solution or innovation to tackle real-world challenges through industry-live projects.
- Innovation Playground: Our labs which are equipped with globally competitive machines and technology. Besides technical prowess, you will pick up in-demand skills like leadership, teamwork, risk taking, risk management, agility and flexibility.
- Placements: Amity University Noida's placements create benchmarks every year from garnering Rs 2 crore annual job package to placement in 500 corporates in campus recruitment including top Fortune 500 employers.
FAQs
1. What’s the difference between BTech AI and ML versus BTech Computer Science (CSE)?
BTech AI and ML focuses mainly on teaching machines to learn, think and take decisions via algorithms and data models.
BTech CSE covers a broader areas like hardware, software and networks.
2. What’s the eligibility criteria for this course?
A score of 60% aggregate marks in class XII, with physics, chemistry and maths. Some universities may conduct an exam.
3. Do I need to know coding for enrolling in this course?
No. But a basic understanding of programming languages like Python and a solid base in maths and statistics is a good.
4. Which industries can offer roles with this degree?
Diverse industries like e-commerce, healthcare, entertainment, agritech, information technology, finance, fintech and more.
5. What skills will I pick up besides tech learning in this course?
Analytical thinking, empathy, reasoning, problem-solving, innovation, communication and collaboration.
