Artificial Intelligence online course free

Udacity: Intro to Artificial Intelligence

    Provider: Udacity

    Language: English

    Duration: Approx 4 months

    Description:

    In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Also this course teaches about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.

Note:

To access any online courses for free, registration by the student is mandatory. Either you can use a personal email id or create a new one and use it for all professional activities.

Cognitiveclass.ai: Build Your Own Chatbot

    Provider: cognitiveclass.ai

    Language: English

    Duration: 5 – 6 hours

    Description:

    This course provides a practical introduction on how to build a chatbot with Watson Assistant (formerly Watson Conversation). Within it, you’ll learn how to plan, build, test, analyze, and deploy your first chatbot.



Udemy: Introduction To Python Programming

    Created by: Avinash Jain

    Language: English

    Duration: 4.5 hours on-demand video

    Rating: 4.4/5

    Description:

    This course is a one-stop-shop for everything you’ll need to know to get started with Python, along with a few incentives. It starts with the basics of Python, learning about strings, variables, and getting to know the data types, then soon move on to the loops and conditions in Python and finally a bit of file manipulation and functions.

Coursera: Machine learning

    Provider: Coursera

    Language: English

    Rating: 4.9/5

    Instructor: Mr. Andrew Ng (Co-founder-Coursera)

    Description:

    This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Developers.google: Machine learning Crash Course

    Created by: Google

    Language: English

    Duration: 15 hours

    Prerequisites:
    Mastery of intro-level algebra: You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms. (Familiarity with more advanced math concepts such as logarithms and derivatives is helpful, but not required.)

    Proficiency in programming basics, and some experience coding in Python. Programming exercises in Machine Learning Crash Course are coded in Python using TensorFlow. No prior experience with TensorFlow is required, but you should feel comfortable reading and writing Python code that contains basic programming constructs, such as function definitions/invocations, lists and dicts, loops, and conditional expressions.

    Description:

    A self-study guide for aspiring machine learning practitioners. Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.

Author:

Manoharan Sundaresan
Career Guidance Mentor

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