Online & Classroom

Artificial Intelligence: Reinforcement Learning Training Course

Months Icon 3 Months
38 Modules
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Key Features

OSACAD is committed to bringing you the best learning experience with high-standard features including

Key Features
Real-time Practice Labs

Learning by doing is what we believe. State-of-the-art labs to facilitate competent training.

Key Features
Physical & Virtual Online Classrooms

Providing the flexibility to learn from our classrooms or anywhere you wish considering these turbulent times.

Key Features
24/7 Support On Slack

Technical or Technological, we give you assistance for every challenge you face round-the-clock.

Key Features
Job Interview & Assistance

Guiding in & out, until you get placed in your dream job.

Key Features
Live projects with our industry partners

An inside look & feel at industry environments by handling real-time projects.

Key Features
Internship after course

Opportunity to prove your talent as an intern at our partner firms and rope for permanent jobs.

Why Artificial Intelligence ?

Why Data Science
Empowering Management and Officers to Make Better Decisions

An experienced data scientist is likely to be a trusted advisor and strategic partner to the organization’s upper management by ensuring that the staff maximizes their analytics capabilities.

Why Data Science
Directing Actions Based on Trends—which in Turn Help to Define Goals

A data scientist examines and explores the organization’s data, after which they recommend and prescribe certain actions that will help improve the institution’s performance, better engage customers, and ultimately increase profitability.

Why Data Science
Challenging the Staff to Adopt Best Practices and Focus on Issues That Matter

One of the responsibilities of a data scientist is to ensure that the staff is familiar and well-versed with the organization’s analytics product

Who is This program for

  • Managers from any field, as Analytics is the best tool for managers these days
  • Business Analysts and Data Analysts who wish to upscale their Data Analytics skills
  • Database professionals who aspire to venture into the field of Big Data by acquiring analytics skills
  • Fresh graduates who wish to make a career in the field of Big Data or Data Science
Who is this program

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos,
cases and projects, assignments and live sessions.

  • Introduction: The Explore-Exploit Dilemma
  • Applications of the Explore-Exploit Dilemma
  • Epsilon-Greedy Theory
  • Calculating a Sample Mean
  • Epsilon-Greedy Beginner's Exercise Prompt
  • Designing Your Bandit Program
  • Epsilon-Greedy in Code
  • Comparing Different Epsilons
  • Optimistic Initial Values Theory
  • Optimistic Initial Values Beginner's Exercise Prompt
  • Optimistic Initial Values Code
  • UCB1 Theory
  • UCB1 Beginner's Exercise Prompt
  • UCB1 Code
  • Bayesian Bandits / Thompson Sampling Theory
  • Thompson Sampling Code
  • Thompson Sampling With Gaussian Reward Theory
  • Nonstationary Bandits
  • What is Reinforcement Learning?
  • On Unusual or Unexpected Strategies of RL
  • From Bandits to Full Reinforcement Learning
  • MDP Section Introduction
  • Gridworld
  • Choosing Rewards
  • The Markov Property
  • Markov Decision Processes (MDPs)
  • Future Rewards
  • Value Functions
  • The Bellman Equation
  • Optimal Policy and Optimal Value Function
  • Intro to Dynamic Programming and Iterative Policy Evaluation
  • Designing Your RL Program
  • Gridworld in Code
  • Iterative Policy Evaluation in Code
  • Windy Gridworld in Code
  • Iterative Policy Evaluation for Windy Gridworld in Code
  • Policy Improvement
  • Policy Iteration
  • Policy Iteration in Code
  • Policy Iteration in Windy Gridworld
  • Value Iteration
  • Value Iteration in Code
  • Monte Carlo Intro
  • Monte Carlo Policy Evaluation
  • Monte Carlo Policy Evaluation in Code
  • Policy Evaluation in Windy Gridworld
  • Monte Carlo Control
  • Monte Carlo Control in Code
  • Monte Carlo Control without Exploring Starts
  • Monte Carlo Control without Exploring Starts in Code
  • Temporal Difference Intro
  • TD(0) Prediction
  • TD(0) Prediction in Code
  • SARSA
  • Q Learning
  • Approximation Intro
  • Linear Models for Reinforcement Learning
  • Features
  • Monte Carlo Prediction with Approximation
  • Monte Carlo Prediction with Approximation in Code
  • TD(0) Semi-Gradient Prediction
  • Semi-Gradient SARSA
  • Stock Trading Project Section Introduction
  • Data and Environment
  • How to Model Q for Q-Learning
  • Design of the Program
30+
Hours of Content
5+
Case Study & Projects
20+
Live Sessions
10+
Coding Assignments
7+
Capstone Projects to Choose From
5+
Tools, Languages & Libraries

Languages and Tools covered

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Hands On Projects

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Classifying silhouettes of vehicles

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Classifying silhouettes of vehicles

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Certification

Our training is based on latest cutting-edge infrastructure technology which makes you ready for the industry.Osacad will Present this certificate to students or employee trainees upon successful completion of the course which will encourage and add to trainee’s resume to explore a lot of opportunities beyond position

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Learn From Home

First-Ever Hybrid Learning System

Enjoy the flexibility of selecting online or offline classes with Osacad first-ever hybrid learning model.
Get the fruitful chance of choosing between the privilege of learning from home or the
advantage of one-on-one knowledge gaining - all in one place.

Learn From Home

Learn from Home

Why leave the comfort and safety of your home when you can learn the eminent non-technical courses right at your fingertips? Gig up to upskill yourself from home with Osacad online courses.

Learn From Home

Learn from Classroom

Exploit the high-tech face-to-face learning experience with esteemed professional educators at Osacad. Our well-equipped, safe, and secure classrooms are waiting to get you on board!

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Testimonials

FAQ’s

Artificial Intelligence which is a global company with headquarters in Chicago, USA. Artificial Intelligence has partnered with GamaSec, a leading Cyber Security product company. Artificial Intelligence is focusing on building Cyber Security awareness and skills in India as it has a good demand in consulting and product support areas. The demand for which is predicted to grow exponentially in the next 3 years. The Artificial Intelligence training programs are conducted by individuals who have in depth domain experience. These training sessions will equip you with the fundamentalknowledge and skills required to be a professional cyber security consultant.

All graduates of commerce, law, science and engineering who want to build a career in cyber security can take this training.

There are a number of courses, which are either 3 months or 6 months long. To become a cyber security consultant we recommend at least 6 to 9 months of training followed by 6 months of actual project work.During project work you will be working under a mentor and experiencing real life customer scenarios.

You can get started by enrolling yourself. The enrollment can be initiated from this website by clicking on "ENROLL NOW". If you are having questions or difficulties regarding this, you can talk to our counselors and they can help you with the same.

Once you enroll with us you will receive access to our Learning Center. All online classrooms, recordings, assignments, etc. can be accessed here.

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