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Artificial Intelligence vs Machine Learning: Examples & courses

Artificial Intelligence vs Machine Learning: Examples & courses
Home > Blogs > Artificial Intelligence vs Machine Learning: Examples & courses

    Artificial Intelligence vs Machine Learning

    The human brain, encapsulating the Cerebrum, Cerebellum, Thalamus, Hypothalamus, and brain stem, coordinates and regulates multiple activities ranging from movement, speech, smell, hearing, vision, emotional response touch, and various other involuntary functions of the human body.

    Such a potential mechanism of cognitive abilities of reading, learning, memorizing & reasoning ensures the execution of tasks, seamlessly. All the activities done by the human brain, in a way, are a reflection of the synergy involved in the Artificial Intelligence vs Machine Learning imbroglio.

    The query-Artificial Intelligence vs Machine Learning can best be answered by looking at the sync between the different parts of the human brain.

    The coordinated activities of the Nervous System, itself provide a plausible answer to the queries- How is AI different from ML?, what differentiates between Artificial Intelligence and Machine Learning, Is Machine Learning the same as Artificial Intelligence?

    The human brain achieves its goals by a set process involving neurons, synapses, and receptors and can make logical decisions. Artificial Intelligence vs Machine Learning dialogue can best be understood along the lines of the perfect synergy displayed by the concerted action of the different parts of the brain to achieve the set goals and objectives.

    Artificial Intelligence, was primarily an offshoot of that cognitive ability of the human brain which led John McCarthy, Alan Turing, Marvin Minsky, Allen Newell, and Herbert A. Simon innovates and thinks to mimic such abilities of the human brain through computer machines.

    Artificial Intelligence through software-coded large language models or LLMs finds application in a plethora of areas such as healthcare, medicine, transportation, robotics, science, education, military surveillance, management of big financial data, agricultural data management, meteorology, broadcasting industry, retail management and service of customers in bulk.

    Artificial Intelligence vs Machine Learning quest of the aspiring students can best be satiated, by discussing the nuances involved in both the two. Students need to know, How is AI different from ML? In layman’s language, it can be stated that Artificial Intelligence is the genus and Machine Learning is its species.

    By the learning acquired through the Artificial Intelligence and Machine Learning courses, the students can apply the Artificial Intelligence, the concepts, and mathematical formulae of Algebra and Calculus in developing the software-based computer programmes, and the problems are solved and complicated functions are carried out without human intervention.

    One needs to delve deep to differentiate between Artificial Intelligence and Machine Learning to have a clear picture. Scientists, through Artificial Intelligence, aim to make machines mimic the cognitive abilities of the human brain.

    Artificial Intelligence and Machine Learning courses have vast potential as their application is not merely confined to medicine, finance, and transportation only but it may bring in its fold other cognitive abilities of human beings in the years to come.

    By looking at the examples of each of these, the inquisitiveness about Artificial Intelligence vs Machine Learning applicabilities can be understood more simply.

    To discuss the Artificial Intelligence vs Machine Learning examples, it will be worthwhile to mention the common examples of Artificial Intelligence - Amazon's Alexa and Apple's Siri and the video games of Chess & the complex processes involved in self-driven vehicles and aircraft industry.

    A common question that often crops up in the minds of aspiring students is -Is Machine Learning the same as Artificial Intelligence? It is to be understood that Machine Learning is a subset of Artificial Intelligence. The unique feature of Machine learning algorithms i.e. adjusting to the emergence of new data and analysis without the assistance of humans is a distinct phenomenon, attributable to Machine Learning.

    Our inquisitiveness can fetch a satisfying answer to the query: Artificial Intelligence vs Machine Learning, by discussing a little more Artificial Intelligence vs Machine Learning examples.

    The most popular usage of Artificial Intelligence is mobile applications. The latest depiction of the usage of Artificial Intelligence that we find is ChatGPT, which can mimic the ability of human beings to answer complex questions.

    Artificial Intelligence through its logical algorithms and programmes, takes action to achieve a specific objective. Artificial Intelligence finds its apt usage to assist in diagnostics, identifying anomalies in scans of patients. Artificial intelligence can articulate medical history and insurance claims at a much faster pace.

    Artificial Intelligence has vast scope in surgeries conducted by surgeons. Artificial Intelligence can regulate the demand and supply of industrial houses by managing and planning their supply chain.

    Machine Learning is vastly used in the following areas:-

    • By classifying data, the machine can find the probability of the occurrence of certain discrepancies.
    • Algorithms used for analyzing bulk data in trading.
    • Algorithms used in the diagnosis of ailments by assessing patterns in the symptoms and vitals. It finds usage in studying and curing congenital disorders.
    • Machine Learning software can convert voice into text.
    • Digital image identification based on pixels.
    • Differentiating between the handwriting of people.
    • The applicability of Machine Learning in analyzing the variables that may define future courses of action.

    Is Machine Learning the same as Artificial Intelligence? No, it may be understood that Machine Learning is also based on algorithms and source code, however, the model created by set parameters can adjust the parameters concerning the new information or data to check the pattern.

    From the standpoint of computer engineers, as far as computer programming and the languages involved are concerned, there appears to be a lot of similarity between the two. As such computer engineers do not spend much of their energy and time on the question- Is Machine Learning the same as Artificial Intelligence?

    The often repeated question- Is Machine Learning the same as Artificial?, can best be addressed by realizing that in Machine Learning, the built Computer programmes and algorithms or the source code that govern the process, on its own, adapt to new data without further help from the human beings.

    To further differentiate between Artificial Intelligence and Machine Learning, it can be appreciated that Machine Learning absorbs and processes the data either in the form of text, video, or images. Machine Learning renders help in decision-making by processing bulk data.

    Artificial Intelligence vs Machine Learning issue can further be logically understood by delving a little deep into the aspect involved in Machine Learning. In Machine Learning, the programming codes, based on the fixed parameters, set particular and distinct patterns to facilitate identifying the data to process decision-making.

    To get a clear picture of the argument of Artificial Intelligence vs Machine Learning, the fine difference involved in Machine Learning is that, whenever additional data emerges, the source code of Machine Learning adjusts the given parameters on its own to earmark any change in the pattern.

    Artificial Intelligence vs Machine Learning argument can be appreciated by appreciating the fact that from the angle of learning both programmes require sound knowledge of programming languages like Python, Prolog, Java, Lisp, C++, Haskell, Scala, Rust, Theano, Fortran, Ruby, Pytorch, Smalltalk, Wolfram language and AIML.

    Various Machine Learning Libraries viz. NumPy and sci-kit-learn, TensorFlow, OpenCV, Armadillo, OpenNN, Microsoft Cognitive Toolkit, Dlib, Albumentations, DyNet, Fast Artificial Neural Net, and Chainer are available for programmers.

    During the MCA journey, the students get exposure to various nuances involved in Machine learning like- Gradient Descent for Multiple Linear Regression, Jupyter Notebooks, Vectorisation, Feature Scaling, Feature engineering and Polynomial Regression, Neural Networks and Deep Learning, Linear Algebra for Machine Learning & Data Science, Calculus for Machine Learning & Data Science and much more.

    Educational experts of Distance Pathshala carry out research to enable aspiring students to avail the golden opportunities offered by the prestigious Universities in India. Information about the MCA AI & ML programmes offered by a few important Universities is given below:-

    1. Jain University

    Online MCA in Artificial Intelligence is a two-year programme designed for aspirants who wish to specialize in the field of Artificial Intelligence. This programme combines the principles of computer science, mathematics, and statistics with the latest advancements in AI.

    Eligibility for the Online MCA AI Programme:

    B.C.A./B.Sc./B.Com/B.A./BBA degree with a minimum of 50% marks and Mathematics as one of the subjects at 10+2 level or Graduation Level (with additional bridge courses as per the norms of the University)

    The course curriculum of the Online MCA programme provides Exposure to topics like Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc.

    The Course Curriculum of Online MCA AI Programme:

    Semester 1

    • Mathematical foundation for computer application
    • Operating System & Unix Shell programming
    • Data communication and computer Networks
    • Data structures and algorithms
    • Computer organization
    • Architecture

    Semester 2

    • Relational database
    • Management system
    • Design and Analysis of algorithms
    • Java programming
    • Foundation of Machine Learning
    • Prediction using ML

    Semester 3

    • Application Development using Python
    • Advanced Web Technologies
    • Big Data Management and Analytics
    • Recommendation Systems
    • Advanced Machine Learning
    • Open Elective Courses

    Semester 4

    • Model Deployment and Artificial Intelligence in Practice
    • Neural Networks and Deep Learning
    • Computer Vision
    • Natural Language Processing
    • Artificial Intelligence
    • Cross-functional Elective course
    • Project

    2. Amity University

    Amity University offers Online MCA with specialization in Machine Learning programme. This is a two-year (four-semester) programme that will prepare a student for a career in the software industry. MCA in Artificial Intelligence imparts knowledge of different domains and technologies of artificial intelligence, machine learning, and deep learning.

    A degree from Amity University Online is recognized both at a national level and at an international level. Amity University has accreditations by WASC -USA AND QAA-UK.

    MCA with specialization in Machine Learning is of 2 years duration comprising 4 semesters with a total of 103 credits

    Course Fee Structure:

    1st Sem - Rs.40,000

    2nd Sem - Rs.40,000

    3rd Sem - Rs.40,000

    4th Sem - Rs.40,000

    Total - Rs.160,000

    Eligibility Criteria:

    Students with Indian Education, Bachelor of Computer Applications (BCA) OR Bachelor’s Degree in Computer Science/Engineering OR Bachelor's Degree in Science / Commerce / Arts with Mathematics at 10+2 level.

    Students without Mathematics at 10+2 or graduation, can also apply after qualifying for the Bridge course.

    The Course Curriculum of MCA in Machine learning:

    Semester 1

    • Graph Theory and Combinatorics
    • Advanced Database Management Systems
    • Core Java
    • Advanced Software Engineering Principles
    • Professional Communication

    Semester 2

    • Research Methodology
    • Data Structures and Algorithm Design
    • Network Security and Cryptography
    • Cognitive Analytics & Social Skills for Professionals
    • Artificial Intelligence for Real World Application
    • Machine Learning for Real World Applications

    Semester 3

    • Cloud Infrastructure and Services
    • UNIX / Linux Programming
    • Professional Ethics
    • Quantitative Aptitude
    • Seminar (Evaluation)
    • Deep Learning & Neural Network
    • Social Media & Text Analytics

    Semester 4

    • Major Project

    3. Lovely Professional University (LPU)

    Lovely Professional University offers an MCA programme of 2 years duration comprising 4 Semesters for which the recommended hours are 8-10 hours/week. LPU provides remote access to virtual labs for problem handling. Interactive Live lectures on weekends with innovative classroom experiences are also provided to the students.

    The Course Fee Structure:

    Programme Fee Rs.30,000

    Exam FeeRs.4,000(per sem.)

    3rd Sem - Rs 1,36,000 (all sems)

    The Course Curriculum of the MCA at LPU:

    Semester 1

    • Software Engineering Practices
    • Data Warehousing and Data Mining
    • Data Communication and Networking
    • Programming in C S/U
    • Object Oriented Programming using C++
    • Linux and Shell Scripting
    • Skill Enhancement Course I
    • Database Management System S/U

    Semester 2

    • Programming in Java
    • Introduction to Big Data
    • Mathematical Foundation for Computer Science
    • Advanced Data Structures
    • Cloud Computing
    • Web Technologies
    • Skill Enhancement Course II

    Semester 3

    • Programming in Python
    • Discipline Specific Elective I
    • Generic Elective I
    • Seminar on Summer Training
    • Discipline Specific Elective II
    • Generic Elective II

    Semester 4

    • Skill Enhancement Course IV
    • Discipline Specific Elective IV
    • Generic Elective IV
    • Discipline Specific Elective III
    • Generic Elective III
    • Project Work

    4. Graphic Era University

    The MCA programme, a two-year degree, helps to meet the growing demand for skilled IT professionals.

    It covers numerous topics, including computer architecture, operating systems, database management, software engineering, programming languages, and web development. The programme also emphasizes developing analytical and problem-solving skills.

    The highly regarded MCA curriculum is a professional degree programme created to give students the in-depth knowledge and abilities necessary for job advancement in the information technology industry.

    Graphic Era University’s e-learning programme delivery mechanism is in line with the regulatory guidelines. Students are provided personal Counselling sessions. On confirmation of admission, the students are given login credentials to the programme and access to study material video sessions/ebooks/ announcements/quizzes etc.

    Eligibility for Online MCA programme :

    10+2+3 with Mathematics or its equivalent examination in any stream conducted by a recognized Board/ University/ Council.

    Course Fee Structure:

    Rs 35000 per year Total fees for the 2-year programme is Rs. 70,000/-


    2 Years Minimum duration, 5 Years Maximum duration

    Conclusion of Artificial Intelligence vs Machine Learning

    Artificial Intelligence and Machine Learning are interrelated. Through Artificial Intelligence, computer systems mimic the cognitive abilities of the human brain. Machine Learning and Artificial Intelligence are not the same.

    Machine Learning can be classified as a subset of Artificial Intelligence. Through Machine Learning, computer programmers run such algorithmic neural networks which enable the computer system to adapt to new data on its own without the assistance of human beings. Predictive analysis made available by machines, helps the industry in a big way.

    Distance Pathshala’s seasoned Management and Educational experts do their utmost to render all possible help to aspiring students to upgrade their knowledge and skills through University programmes. It has been a constant endeavour of the Distance Pathshala to provide substantial information to aspiring students to enable them to choose the best option.

    FAQs of Artificial Intelligence vs Machine Learning

    Through Artificial Intelligence computer engineers make machines to simulate human intelligence and perform complex tasks the way humans do. Through Machine Learning, computer programmers use algorithms that learn the data on their own to produce predictive models.

    Both disciplines have a wide scope in the future. Choosing a particular stream is a matter of an individual’s choice.

    To a certain extent, the languages and the programmes are overlapping, however, the fine difference involved in both the two can be gauged from the tasks assigned to machines in AI & ML.

    AI & ML have a wide scope in the times to come as a lot of research is going on in the areas of medicine, health, transport, and banking finance where both AI & ML are about to bring industrial revolution.
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