Applied Artificial Intelligence

Columbia Engineering Executive Education

What are the topics?

Columbia Engineering Executive Education

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Who should attend

This course is designed for professionals who intend to transition to the role of an AI specialist. This course is for you if you are Software developer or a Project manager or a Business analyst or a Data Scientist or a Data Engineer who wants to build a solid foundation in Artificial Intelligence.

Previous batches have come from:

  • Industries: Banking, Software, Consulting, Retail, Consumer Packaged Goods, Healthcare and Energy industries.
  • Countries: United States, India, United Kingdom, Canada, Australia, Hong Kong, Mexico.

About the course

Artificial Intelligence (AI) is being used extensively to solve real-world complex problems. From driving automobiles to providing virtual assistance, use of artificial intelligence in our day to day lives are projected to increase. Most business leaders surveyed state that AI will fundamentally transform their business.

At Columbia Engineering, we are fascinated by the possibilities of data-driven technologies. We have created the Applied Artificial Intelligence course, in partnership with Emeritus, to help students across the world understand how this data-centric approach can be applied to your daily lives.

WHAT ARE THE LEARNING OUTCOMES?

At the end of this course, participants will learn to:

Learn the essentials of creating intelligent systemsUnderstand and implement the tools and techniques that make a system intelligent – search techniques, machine learning algorithms to group data points or split datasets to find insights, finding fast and optimal solutions to highly complex problems bound by real-world constraints, decide the best logical course of action to achieve its goal

Emeritus and Columbia Engineering Executive Education

Columbia Engineering Executive Education is collaborating with online education provider Emeritus to offer executive education courses.

An Emeritus Certificate course created in collaboration with Columbia Engineering Executive Education is based on syllabus approved by Columbia Engineering Executive Education, and contains video content created and recorded by Columbia Engineering Executive Education faculty, combined with assessments, assignments, projects, cases, and exercises delivered by Emeritus. Upon successful completion of the course, learners will be awarded a certificate jointly by Emeritus and Columbia Engineering Executive Education.

SYLLABUS

Module 1: Introduction to Artificial Intelligence

  • Overview of AI
  • Applications of AI
  • AI foundation and history

Module 2: Intelligent Agents and Uninformed Search

  • Intelligent agents
  • Search agents
  • Uninformed search
  • Uninformed search examples

Module 3: Heuristic Search

  • Heuristics and greedy search algorithm
  • A search and optimality
  • Search algorithms recap
  • Local search

Module 4: Adversarial Search and Games

  • Adversarial search and games
  • Minimax algorithm
  • Alpha-beta pruning
  • Stochastic games

Module 5: Machine Learning 1

  • Machine learning concepts
  • K-nearest neighbors and training-testing
  • Overfitting-underfitting and regularization
  • Linear models for regression

Module 6: Machine Learning 2

  • Machine learning: perceptron
  • Logistic regression
  • Decision trees
  • Naïve Bayes
  • Ensemble methods

Module 7: Machine Learning 3

  • Neural networks
  • Clustering
  • Association rules

Module 8: Constraint Satisfaction Problems

  • Constraint satisfaction problems
  • Cryptarithmetic puzzle
  • Backtracking
  • Constraint propagation
  • Problem structure

Module 9: Reinforcement Learning

  • Reinforcement Learning Introduction
  • Reinforcement learning overview
  • Markov decision process (MDP)
  • Example of an MDP and Bellman equations
  • Value function – Matrix notation
  • Finding optimal policy in MDPs – iterative methods
  • Policy iteration method example
  • Value iteration method
  • Reinforcement learning – algorithms

Module 10: Logical Agents

  • Knowledge-based agents
  • The Wumpus world
  • Logical agent
  • Inference rules
  • Reduced Wumpus world
  • Model checking and inference
  • Theorem proving and proof by resolution
  • Conversion to CNF and resolution algorithm
  • Forward and backward chaining
  • Propositional logic: summary
  • First order logic

Module 11: AI Applications: Natural Language Processing

  • AI Applications: Natural language processing
  • Text classification
  • Language models
  • Progress in NLP

Module 12: AI Applications and Course Review

  • Deep learning: background and history
  • Deep learning: architecture and application
  • Introduction to robotics
  • Robot path planning – visibility graphs
  • Voronoi graphs and potential fields
  • Probabilistic roadmap planner (PRM)
  • Rapidly-exploring random tress (RRT) and path planning summary

LEARNING EXPERIENCE

Emeritus follows a unique online model. This model has ensured that nearly 90 percent of our learners complete their course.

Orientation Week

The first week is orientation week. During this week you will be introduced to the other participants in the class from across the world. You will also learn how to use the learning platform and other learning tools provided.

Weekly Goals

On other weeks, you have learning goals set for the week. The goals would include watching the video lectures and completing the assignments. All assignments have weekly deadlines.
 Recorded Video Lectures

The recorded video lectures are by faculty from the collaborating university.

Live Webinars

Every few weeks, there are live webinars conducted by Emeritus course leaders. Course leaders are highly-experienced industry practitioners who contextualize the video lectures and assist with questions you may have regarding your assignments. Live webinars are usually conducted between 1 pm and 3 pm UTC on Tuesdays and Wednesdays.

Clarifying Doubts

In addition to the live webinars, for some courses, the course leaders conduct Office Hours, which are webinar sessions that are open to all learners. During Office Hours, learners ask questions and course leaders respond. These are usually conducted every alternate week to help participants clarify their doubts pertaining to the content.

Follow-Up

The Emeritus Program Support team members will follow up and assist over email and via phone calls with learners who are unable to submit their assignments on time.

Continued Course Access

You will continue to have access to the course videos and learning material for up to 12 months from the course start date.   Assignments/Application Projects

Assignments are given out weekly and they are based on the lectures or tutorials provided. They need to be completed and submitted as per the deadline for grading purposes. Extensions may be provided based on a request sent to the support team.

Discussion Boards

It is an open forum where participants pin their opinions or thoughts regarding the topic under discussion.

  Emeritus Program Support Team

  • If at any point in the course you need tech, content or academic support, you can email program support and you will typically receive a response within 24 working hours or less.   Device Support

  • You can access Emeritus courses on tablets, phones and laptops. You will require a high-speed internet connection.   Emeritus Network

  • On completing the course you join a global community of 5000+ learners on the Emeritus Network. The Network allows you to connect with Emeritus past participants across the world.

BENEFITS TO THE LEARNER

Intellectual Capital

  • Global Business Education
  • Rigorous and experiential curriculum
  • World-renowned faculty
  • Globally connected classroom: peer to peer learning circles
  • Action learning: learning by doing

Brand Capital

  • Certificate from Emeritus in collaboration with Columbia Engineering Executive Education

Social Capital

  • Build new networks through peer interaction
  • Benefit from diverse class profiles

Career Capital

  • Professional acceleration through our enriched leadership toolkit
  • Learn while you earn
  • Get noticed. Get ahead.

Experts

Ansaf Salleb-Aouissi

Salleb-Aouissi’s specific and recent research interest is interdisciplinary and consists in leveraging advanced machine learning methods and large amounts of data to study medical problems, such as premature birth and infantile colic. Salleb-Aouissi cares about education and works toward advanci...

Videos and materials

Applied Artificial Intelligence at Columbia Engineering Executive Education

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

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