AI & Machine Learning Certification Training

AI & Machine Learning Certification Training

In today's digital world Artificial Intelligence with Machine Learning provides innovative solutions. With its commitment towards automating tedious tasks as well as offering creative insight, companies in each sector from healthcare to banking and manufacturing are receiving the benefits. Join our Machine Learning and AI course to achieve a successful career in Research and Development
Start Date Duration Time (CST) Type Mode of Training Enroll
17-Mar-2019 55 Hrs 09:00 PM Online INSTRUCTOR LED TRAINING Enquiry Now

Description

Artificial Intelligence (AI) being a part of computer science, it’s a broader concept of machines being able to work in a smarter way. Machine Learning (ML) involves concepts of mathematics or an applied statistics. Artificial intelligence incorporates Machine Learning with an idea of allowing machine to access data and learn by themselves. Artificial Intelligence or Machine Language has altered the process of data-driven business leaders in making decisions, gaging their businesses, studying human behavior, and viewing predictive analytics. To release the benefits of this extraordinary field, an organisation needs the right minds quants and translators. There is a huge demand for both Artificial Intelligence and Machine Learning experts to build smart machines that are truly intelligent. Enroll Machine Learning and Artificial Intelligence training to gain complete knowledge on core concepts of Artificial Intelligence and Machine Learning.

Did you know?

  1.  According to Forbes predictions the theoretical research in Machine Learning will gradually lay the path for business solutions. Smart Machine Learning algorithms can implement massive loads of both dynamic and static data to continuously learn and improve for improved performance.
  2.  Gartner predicts that the combination of Artificial Intelligence and Machine Learning will deliver more systems that can efficiently learn, understand, adapt predict, and work.
  3.  In 2017, Forrester proposed that the Artificial Intelligence and Machine Learning Cloud will increasingly depend on IoT data as sensors and smart applications to take over each aspect of our day to day activities.

Pre-requisites

  1. Efficient programming skills with basic knowledge in python or R, mathematics and applied statistics.

Who should attend this Training?

Following professionals can enroll into Machine Learning and Artificial Intelligence course:
  1.  Analytics professionals
  2.  Data Science professionals
  3.  Software professionals interested to switch their career into field of analytics
  4.  Graduates looking to start career in Machine Learning and Data Science
  5.  Other professionals working with online customer based organizations

Why learn and get certified in Machine Learning and Artificial Intelligence?

  1.  World wide success of Artificial Intelligence and Machine Learning is noticeable from each stream. Like Amazon recommends the type of movies which you might like to see self-driving Google cars that can inform a tree from a pedestrian.
  2.  Real-time applications of Machine Learning and Artificial Intelligence are deployed for the welfare of companies and clients, in categories like recommender systems, prediction and classification, computer vision, hybrid and many more.
  3.  Harvard Business Review endorses it as the hottest job for today’s digital world due to its remarkable achievements in the R&D sector.

Course Objective

After completion of this course, trainee will:
  1.  Potential to find applications areas of Artificial Intelligence
  2.  Basic techniques and ideas to design intelligent computer systems
  3.  Understand the Statistical and Decision–theoretic Modelling Paradigm
  4.  Gain ability to develop agents that exhibit learning and reasoning
  5.  Attain confidence to apply classification, regression, retrieval, clustering, recommender systems.

Prepare for Certification!

Our training and certification program gives you a solid understanding of the key topics covered on the Machine Learning and Artificial Intelligence Certification. In addition to boosting your income potential, getting certified in Machine Learning demonstrates your knowledge of the skills necessary to be an effective Professional. The certification validates your ability to produce reliable, high-quality results with increased efficiency and consistency.

Part – A: Artificial Intelligence

Unit 1: Artificial Intelligence and Predicate Calculus

  1. Introduction
  2. AI Roots and Applications
  3. Propositional Calculus
  4. Predicate Calculus

Unit 2: AI Programming Languages

  1. Prolog and Lisp
  2. Syntax
  3. Data Types
  4. Control Mechanisms

Unit 3: Graph Theory and Strategies for State Space Searches

  1. Graph Theory & Finite State Machine
  2. State Space Search Algorithms
  3. Reasoning Strategies

Unit 4: Heuristic Search Algorithms

  1. Heuristic Search Issues
  2. Heuristic Search Applications
  3. Hill Climbing Algorithm
  4. Dynamic Programming
  5. Best-first Search

Unit 5: Control and Implementation of State Space Searches

  1. Related Issues
  2. Recursion-based Searching
  3. Production and Blackboard Systems Architecture
Part – B: Artificial Intelligence

Unit 1: Introduction to Machine Learning

  1. Introduction to Big Data and Machine Learning

Unit 2: Walking with Python or R

  1. Understanding Python or R

Unit 3: Machine Learning Techniques

  1. Types of Learning
  2. Advice for Applying Machine Learning
  3. Machine Learning System Design

Unit 4: Supervised Learning

  1. Regression
  2. Classification

Unit 5: Supervised Learning: Regression

  1. Predicting House Prices: A Case Study in Regression

Unit 6: Supervised Learning – Clustering

  1. Analyzing the Sentiment of Reviews: A Case Study in Classification

Unit 7: Unsupervised Learning

  1. Clustering
  2. Recommendation
  3. Deep Learning

Unit 8: Unsupervised Learning Clustering

  1. Document Retrieval: A Case Study in Clustering and Measuring Similarity

Unit 9: Unsupervised Recommendation

  1. Recommending Products

Unit 10: Unsupervised Deep Learning

  1. Deep Learning: Searching for Images

In today’s digital world Machine Learning and Artificial Intelligence plays a crucial role they are closely related, but not the same. Artificial intelligence and machine learning are helping professionals and organizations in achieving key goals, obtaining actionable insights, driving critical decisions, and creating innovative products and services. Information on Machine Learning and Artificial Intelligence certification will be updated shortly.

+What is meant by Machine Learning in Artificial Intelligence?
AI & Machine Learning Training FAQs Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data.
+Learning both are same?
Is Artificial Intelligence and Machine Artificial Intelligence (AI) and Machine Learning (ML) are two very hot buzzwords right now, and often seem to be used interchangeably. They are not quite the same thing, but the perception that they are can sometimes lead to some confusion. So I thought it would be worth writing a piece to explain the difference.
+What language is used for Artificial Intelligence?
There is no authoritative answer for this question, as it really depends on what languages you like programming in. AI programs have been written in just about every language ever created. The most common seem to be Lisp, Prolog, C/C++, Java, and Python.
+What are the different types of Machine Learning?
These algorithms can be applied to almost any data problem: Linear Regression Logistic Regression Decision Tree SVM Naive Bayes KNN K-Means Random Forest