Artificial Intelligence Expert

Artificial Intelligence is the new science of the century. The characteristic features governing the human mind, being evident in machines, is an unprecedented possibility and has equally contributed to churning out new opportunities on a career front. 

The Certified Artificial Intelligence Expert course mainly focuses on employing the knowledge of artificial intelligence into the organizational functions. The certification, accredited by  IABAC carries wide recognition and is instrumental in fulfilling long term career goals. 

Artificial Intelligence Expert Training Cost

Classroom

USD 0
USD 0

Live Virtual

USD 1040
USD 499

Self Learning

USD 630
USD 279

ONLINE TRAINING SCHEDULES NEAR BY

Description

Artificial Intelligence is an opportunity. Every organization is in an effort to leverage the possibilities. The Certified Artificial Intelligence Expert talks about the incorporation of data science into human resource activity.

Given the successful completion of the course, you will be equipped with the following:-

  • Artificial Intelligence -An Overview 

  • Statistics

  • Incorporation of Artificial Intelligence and Machine Learning into the business.

  • Helps to lead forward in the Data Science career trajectory  

  • No mandatory prerequisite.

  • Experience in the AI domain recommended

  • Individuals aspiring to make a career in Artificial Intelligence.

  • Professionals working in the operations domain 

  • It helps to get a clear idea of Artificial Intelligence and its applications in the real world.

  • Wide recognition for certification.

  • Beneficial for scaling up in the career trajectory

  • DataMites™ is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses

  • DataMites™ is founded by Data Science/Analytics Experts, who had deep roots in the industry in the USA and Europe for decades.

  • You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market

  • You can choose from flexible learning options: Traditional classroom, Live Virtual classroom and Self-learning.

  • DataMites™ has a dedicated Placement Assistance Team (PAT), which assists you to find the right data science job

  • If you are a worthy candidate, you can get an opportunity to work in global data science consulting projects

Syllabus

  • Machine Learning Primer 

  •  Machine Learning core concepts, scalable algorithms, project workflow. 

  •  Objective Functions and Regularization 

  •  Understanding the Objective Function of ML Algorithms 

  •  Metrics, Evaluation Methods and Optimizers 

  •  Popular Metrics in Detail: R2 Score, RMSE, Cross-Entropy, Precision, Recall, F1 Score, ROC-AUC, SGD, ADAM 

  •  Artificial Neural Network 

  •  ANN in detail, Forward Pass and Back Propagation 

  •  Machine Learning Vs Deep Learning 

  •  Core difference b/w ML and DL from an implementation perspective

  • Python Programming Primer 

  • Installing Python, Programming Basics, Native Data types 

  •  Class, Inheritance and Magic Functions

  •  Python Classes, Inheritance Concepts, Magic Functions 

  •  Special Functions in Python 

  •  Overview, Array, selecting data, Slicing, Iterating, Array Manipulations, Stacking, Splitting arrays, Key functions 

  •  Decorators and Special Functions 

  •  Decorators implementation with class 

  •  Context Manager ‘with’ in Python 

  •  Context Manager Application 

  •  Exception Handling 

  •  Try and Catch block 

  •  Python Package Management 

  •  Bundling and export python packages

  • Deep Learning Network Concepts

  • Core concepts of Deep Learning Networks

  •  Deep Dive into Activation Functions

  •  Relu, Sigmoid, Tanh, SoftMax, Linear

  •  Building simple Deep Learning Network

  •  Simple DL network from starch

  •  Tuning Deep Learning Network

  •  Tuning Deep Learning Network Parameters for optimal performance, Stopping Criteria

  •  Visualizing Training using TensorBoard

  •  Visualizing Deep Learning Network using TensorBoard

  • Linear Algebra

  • Vectors, Matrices, Linear Transformation, Eigen Vectors, Matrix Operations, Special Matrices

  •  Calculus – Derivatives: Calculus essentials, Derivatives and Partial Derivatives, Chain Rule, Derivatives of special functions

  •  Probability Essentials: Probability basics and notations, Conditional probability, Essential Probability theorems for Machine Learning

  •  Special functions: Relu, Sigmoid, SoftMax, Popular Loss Functions – Cross-Entropy, Quadratic Loss Functions

  • epts, Tensors, core APIs

  • Concrete Functions, Data

  • TensorFlow 2.0 Basics

  •  TensorFlow core conc Types, Control Statements

  • Polymorphic Functions, Concrete Functions, Datatypes, Control Statements, NumPy, Pandas

  •  Autograph eager execution

  •  tf.function autograph implementation

  •  Sessions vs tf.function

  •  Keras (TensorFlow 2.0 Built-in API) Overview

  •  Sequential Models, configuring layers, loading data, train and test, complex models, callbacks, save and restore Neural Network weights

  •  Building Neural Networks in Keras

  •  Building Neural networks from scratch in Keras

  •  Implementing RNN, CNN in Keras

  •  Building Recurrent Neural Networks for sequence data and Convolution Neural Networks for Image Classification

  • Introduction to Natural Language Processing

  • Language modelling

  • Sequence to Sequence Models

  • Transformers and BERT

  • Introduction to Computer Vision

  •  Image Representation and Analysis

  •  Convolutional Neural Network

  •  Features and Object Recognition

  •  Image Segmentation

  •  Advanced CNN Architectures

  •  Recurrent Neural Networks

  •  Attention Mechanisms

  • Reinforcement learning framework

  • Dynamic programming algorithms

  •  Monte Carlo Methods

  •  Temporal Difference Methods

  •  Gym - OpenAI Framework Introduction

  •  Deep Q-Learning

  •  Introduction to Multi-Agent RL

FAQ'S

DataMites™ provides flexible learning options from traditional classroom training, the latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org, where you can find your test results and other relevant validation details.

The results of the Exam are immediate if you take an online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.

You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.

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