Machine Learning Training Certification Course Online

SKU: 8407
8 Lesson
|
36 Hours
This machine learning course online by igmGuru is crafted by leading trainers and industry experts to help you gain an in-depth knowledge and understanding of various techniques and algorithms like supervised and unsupervised learning, classification, natural language processing, regression, etc. With our machine learning online program, you will also learn to optimally use the Python programming language. Our machine learning training online will prepare you to pass a machine learning certification exam to begin your career.

Machine Learning Course Overview

igmGuru's Machine Learning Course online program has been curated by subject matter experts to help a participant learn machine learning concepts from basic to advanced level. Machine learning certification training program focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions without being explicitly programmed.

The industry leaders who have delivered successful projects and services to their clients have contributed to this Machine learning certification course development. Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions or decisions without being explicitly programmed.

There are 3 key types of machine learning (ML):

  1. Supervised learning: The algorithm is trained on a labeled dataset, where the desired output for each input is provided. The algorithm then makes predictions based on this learned mapping. Examples include regression and classification tasks.
  2. Unsupervised learning: The algorithm is not provided with labeled data, but must find patterns or relationships in the input data on its own. Examples include clustering and dimensionality reduction.
  3. Reinforcement learning: The algorithm learns through trial and error, receiving rewards or penalties for certain actions. It turns to optimizing its behavior to increase the reward. As you must be aware, there are a lot of applications that are a by-product of Machine learning techniques.

Machine learning is one of the hottest skills in today’s market. In fact, as per one of the recent LinkedIn surveys, there are over 7k machine learning jobs available. Additionally, there is a tremendous growth rate for machine learning-related jobs as well. Another reason to compel you to think about this skill set seriously is automation. You must have heard about reports stating that there are a lot of jobs that could vanish due to automation in the next few years. Upskilling is an area that is automation-proof. Hence, you should think about acquiring AI or ML certification.

igmGuru offers one of the best machine learning courses online for beginners in the market. It covers all the skills required to become proficient in the ML domain. There will be a lot of business-world projects in which learners would be expected to apply and enhance understanding. Hence, by leveraging igmGuru’s machine learning program, learners will be exposed to numerous high-paying opportunities.

Various companies are hiring machine learning engineers and specialists. Top ones on the list include IT companies like Accenture, IBM, Walmart, Apple, Ola, Google, Flipkart, and many more. Learners who would finally be acquiring the skill set in this certification course in machine learning would end up in the below-mentioned profiles

  1. Machine learning engineer
  2. Machine learning specialist
  3. Machine learning research engineer
  4. Data Scientist (at times)

Machine learning is a set of statistical techniques that could be built using any tool/platform or programing language targeting a specific business problem. The tool used is to express the techniques and statistical concepts of machine learning in a business area. The tool of our choice for this AI/ML certification course is one of the most famous and easy-to-use programming languages which also finds a lot of preference in the industry owing to its ease of deployment and extensive community support.

The tool is an open-source programming language, based on the concept of object-oriented programming language known as Python. Python is a programming language that could be used to do a lot of things, but learners will focus on the machine learning aspect and aligned it with the machine learning course syllabus. Machine learning has been broadly classified into three categories – supervised, unsupervised, and reinforcement.

Our focus of interest would be mostly on the Supervised and Unsupervised areas. Machine learning or ML refers to the study of computer algorithms with the capability to improve automatically through experience. ML is an application of AI that equips systems with the ability to learn and improve automatically from experience, without the need to be explicitly programmed for it.

The certificate course in machine learning focuses on the development of computer programs that use data to understand patterns and relationships on their own. The primary aim of this online course is to allow the computers to learn automatically without human intervention or assistance and adjust actions accordingly.

Machine Learning Course Online Objectives?

  • Learners will be made familiar with the various types of machine learning techniques under each supervised and unsupervised learning methods.
  • They would gain a deep understanding about the usage of the techniques as per the business problems.
  • Our course will specifically focus on supervised techniques such as unsupervised learning methods like clustering analysis, principal component analysis, and classification and regression. This will help learners in understanding various concepts by practicing a lot of use cases.
  • At the end of each session, you will get a lot of tasks and assignments to solve on the basis of available datasets. You will also be working on various industry-specific projects to help solidify your skills.

Key Deliverables in Machine Learning Online Course?

The certificate course in machine learning will mostly deal with the below things:

  • Define Machine learning problem/objective
  • Data preparation for building the algorithm
  • Difference between supervised and unsupervised techniques
  • Understanding the usage of supervised and unsupervised learning techniques
  • Picking the most suitable algorithm for a given problem
  • Understanding the various accuracy measures
  • Tuning machine learning models
  • Machine learning model maintenance

Using Python is preferred for learning and applying concepts of various machine learning algorithms. In this course, you will go through different types of Python libraries used for building types of machine learning models. While you understand the basic structure of supervised and unsupervised learning techniques, you will also get to know about the various libraries available at each and every stage of the model building phase.

You will get acquainted with the various libraries that are needed during this phase of model building, checking the model’s accuracy, and validating the model as well.

ML Online Training Features

Machine Learning Training Modules

1. Artificial Intelligence
2. Machine Learning
3. Machine Learning algorithms
4. Applications of Machine Learning
1. Supervised learning
2. Unsupervised learning
3. Semi-supervised and Reinforcement learning
4. Bias and variance trade-off
5. Representation learning
1. Data preparation
2. Feature engineering
3. Feature scaling
4. Datasets
5. Dimensionality reduction
1. Concepts of linear algebra
2. Eigenvalues, eigenvectors, and eigendecomposition
3. Introduction to Calculus
4. Probability and statistics
1. Regression and its types
2. Linear regression: Equations and algorithms
1. Meaning and types of classification
2. Logistic regression
3. K-nearest neighbors
4. Support vector machines
5. Kernel support vector machines
6. Naive Bayes
7. Decision tree classifier
8. Random forest classifier
1. Clustering algorithms
2. K-means clustering
1. Meaning and importance of Deep Learning
2. Artificial Neural Networks
3. TensorFlow

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Machine Learning Online Course Fees

Online Class Room Program

US $ 599.00
100% Money Back Guarantee
  • Duration : 36 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 09 Sep 2024
  • Weekday Batch 09 Sep 2024
  • Weekend Batch 14 Sep 2024

Corporate Training

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  • Flexible Training Schedule Options
  • Industry Experienced Trainers
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Machine Learning Certification Exam

How to get the best Machine Learning Certification in 2024?

Various certifications are available in the market for ML professionals. Many different universities, organizations, and companies offer these certifications and their associated exams. Some popular ML certifications include:

  • Professional Machine Learning Engineer from Google Cloud: This certification exam assesses your ability to work with ML models, the cloud, and data
  • AWS Certified Machine Learning - Specialty Certification: This certification exam assesses your ability to implement, maintain, and design ML systems using AWS services
  • IBM Machine Learning Professional Certificate: This certification exam covers the foundational skills essential for becoming a data scientist. These include ML, statistical analysis, and data visualization
  • Microsoft Certified: Azure AI fundamentals: This certificate is specific to its own cloud platform and also tests your general knowledge of AI, data engineering, and ML
  • Machine Learning Certification from Stanford Online: This certification is offered by Stanford University. It covers the theoretical foundations and practical applications of ML
  • Deep Learning Specialization from Coursera: This is a five-course specialization offered by deeplearning.ai and covers various topics such as unsupervised, supervised & reinforcement learning.

It's worth noting that these certifications are not mandatory but it can be an add-on to your resume and can show potential employer that you have hands-on experience and knowledge of machine learning.

Machine Learning Certification Exam

Machine Learning Course Online FAQ

The devices you'll need for machine learning online training are • Windows: Windows XP SP3 or higher• Mac: OSX 10.6 or higher• Internet speed: Preferably 512Kbps or higher• Headset• Speakers• Amplifier

The machine learning online learning course will be conducted online through live meetings and will have a minimum total duration of 36 hours

We encourage everyone to up this certification course regardless of their prior knowledge and experience

Yes, this online course is certification-based training, and certification is provided online after one has successfully cleared the course assignments and test with the minimum required cut-off.

Additional benefits in the course include • Small batches up to 10 candidates • Lifetime support and access • 1 on 1 training option available • Flexible schedule

There are four key basics of Machine Learning namely supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. You will learn everything about these basics and much more in igmGuru’s Machine Learning Training online.

To obtain a Machine Learning (ML) certification, you can start by gaining a solid understanding of ML concepts, algorithms, and techniques. Look for reputable institutions or online platforms that offer ML certification programs or courses. Complete the required coursework and assignments to demonstrate your knowledge and skills. It's important to practice implementing ML models on real-world datasets to gain practical experience. If applicable, prepare for and pass the certification exam. Consider earning certifications from recognized organizations like Microsoft, Google, or IBM. Additionally, stay updated with the latest advancements in ML and actively participate in relevant projects or competitions to continuously improve your skills.

Machine Learning training by igmGuru is a training model crafted by industry experts to teach you everything about Machine Learning algorithms. By enrolling in this course, you will learn from industry experts and become a pro in the field.

As per a general consensus, most ML experts say that it can take 6-9 months to learn ML. Of course, it does not happen all at once and you learn something new everyday. However, to become a true expert, you have to practice for a long duration, and learn continuously.

The best course for Machine Learning is being offered by igmGuru. This course covers all the key concepts of machine learning and is being taught by industry experts with 10+ years of experience in the field.

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