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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

The Certificate in Machine Learning and Deep Learning Batch I program by Education Lanes is one of the strongest certifications programs that keep student interest on the first hand, this is the thing that is given topmost importance always in this particular field.

Machine learning and deep learning both have indeed been fields of research since the development of neural networking. Through technological advances, in particular the graphical processing units, the need for competent and trained staff in this field has been fulfilled. Applications of machine learning and deep learning vary from machine vision to voice recognition and interpretation to advertising and drug development.

The Certificate in Machine Learning and Deep Learning Batch I certification course is structured in a prosperous way that includes thesis and research-based work modules with the single objectives of conducting a study on core machine learning and artificial intelligence technologies, which is language processing and improving learning along with some reinforcement aspects.

This Certificate in Machine Learning and Deep Learning Batch I online course is designed with trying to develop quantitative mathematical skills using machine learning and deep learning methods and realistic execution of any technique for real-world implementations.

The Highlights

Interactive online sessions
Weekend classes
5-month duration course
Direct to desktop
Specialization in machine learning
Certification of completion imparted by Education Lanes
71 hours course duration

Programme Offerings

live sessions
Direct to desktop
In doubt sessions
assessments
Projects
Exercises

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	FSM Delhi

The candidates who are enrolled in the program are required to pay the lump sum Certificate in Machine Learning and Deep Learning Batch I fees of Rs.40,000 while applying for the course.
The payment needs to be done into installments for two parts – program and another fee.

Certificate Program in Machine Learning and Deep Learning Batch I fees

Fee categories

Amount in Rs.

Program fee

Registration fee: Rs.10,000 + GST

Admission fee: Rs.15,000 + GST

1st installment: Rs.15,000 + GST

Other fee

E-resources fee: Rs.5,000 + GST

Note: The specific candidate can pay the program fee in installments at different intervals and a virtual fee needs to be submitted to FORE directly.

Eligibility Criteria

Work experience

There is no compulsion to have any professional work experience but Certificate in Machine Learning and Deep Learning Batch I by Education Lanes is designed optimally for executives, students, faculties, and scholars only.

Education

Similarly, like educational background, there is no prerequisite required but basic knowledge in the field of simple programming will surely help to complete the Certificate in Machine Learning and Deep Learning Batch I program.

Certification qualifying details

For now, there is no relatable information for certification qualifying is given on the portal, the enrolling student will get to know about it later after successfully registering for the Certificate in Machine Learning and Deep Learning Batch I training.

What you will learn

Knowledge of deep learning

The Certificate in Machine Learning and Deep Learning Batch I certification syllabus completes, the student will gain exposure across varied areas:

The candidate will learn about analysis on core machine learning and artificial intelligence innovations.
Candidates will learn to implement statistical mathematical skills using machine learning and deep learning methodologies.
Candidates will meet the realistic execution of any strategy for real-world implementations.
The program has been designed and developed in a way that will cover all the aspects such as Q-learning, Deep-Q-Learning, processing sensor data, data augmentation, Keras, H2O, etc in depth.

Who it is for

Below mentioned candidates can apply for the course:

The Certificate in Machine Learning and Deep Learning Batch I certification is designed for one who is pursuing graduation irrespective of the major, are engineer graduates and working professionals, and are involved in understanding the principles and policy consequences of artificial learning, deep learning.

Admission Details

The individual wanting to register for this Certificate in Machine Learning and Deep Learning Batch I certification course, should take care of some basic contact details, they should go throughout their application process in the following mentioned steps:

Step 1: Before everything, one first must-visit page https://www.educationlanes.com/certification-program-in-machine-learning-and-deep-learning/ to get a complete map of curriculum, fee, and program.

Step 2: After going through all the detailed information, candidates will be directed to the option “apply now”.

Step 3: After coming on to the option for applying, the candidate will get the chance to submit an inquiry if they have any in relation to the admission process.

Step 4: Your query will get submitted.

Afterwards, since there is no adequate information available on the webpage regarding the application processing steps so candidates are required and requested to directly contact the institute in case, they want to have more information about admission details.

The Syllabus

Open AI gym
Q learning
Policy search
Policy gradients
Deep - Q learning

Python learning
Data visualization via matplotlib
NumPy pandas
Exploration of data

Algorithms

Ensemble models
- Light GBM
- Random forests
- Xgboost
- Boosting machines with gradients

PCA

Dimensionality reduction

Running tensorflow

Machine learning
Computational graphs
Completing gradient descent
Linear regression

Multilayer and simple neural networks

Experiments using H2O and Keras

Autoencoders

Generating images
Stacked auto encoding
Variation auto encoding
Denoising auto encoding

Data augmentations and processing images

Tabular frames and deep learning

LSTM

Processing sensor data
Sequential processing
Time series data

Neutral networks

Algorithm optimization
Components of convolutional neural networks
Overfitting and underfitting avoidance

Transfer learning

Using res net
Using VGG16

Word representation bag
Classification via RNN
Classification via deep learning

Hierarchal
K means

Evaluation process

The examination structure for this particular Certificate in Machine Learning and Deep Learning Batch I certification is divided into performances on the basis of exercises and projects. The selected candidate is certified on the basis of the metric they’ll include while performing various exercises and projects within the completion of the curriculum.