Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Machine Learning Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Machine Learning Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
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Placement Assistance
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Machine Learning Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Machine Learning Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Machine Learning technologies :
Syllabus of Machine Learning Online Course Download syllabus
- Basics of Probability
- Basics of Statistics?
- What is Machine Learning?
- Introduction to the standard normal distribution and normal distribution
- Introduction to business moments
- Artificial Intelligence
- Introduction to supervised learning
- One hot encoding
- What is linear regression?
- Introduction to classification problems
- What is logistic regression?
- Gradient descent and cost function
- Decision tree
- Entropy
- Information gain
- Mathematical intuition behind SVM
- Support Vector Machines
- Bootstrapping and majority rule
- Random Forest
- Evaluation of classifiers
- What is clustering?
- Why is clustering important?
- Elbow curve and Kmeans
- Hierarchical Clustering
- Dendrogram
- Evaluation of clustering algorithms
- Principal Component Analysis
- Feature Selection
- Mathematical intuition behind PCA
- Deep learning
- Artificial Neural Network
- Understanding backpropagation
- Different activation functions
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Industry Projects
Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
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Machine Learning Course Objectives
- Recognition of expertise: Certification demonstrates your knowledge and skills in Machine Learning, which can enhance your professional reputation and increase your credibility in the field.
- Career advancement: Certification can open up new career opportunities and increase your chances of being considered for roles that require Machine Learning expertise. It can also lead to higher job prospects and salary potential.
- Skill validation: Certification validates your understanding of key Machine Learning concepts, algorithms, and techniques. It provides evidence to employers or clients that you possess the necessary skills to solve real-world problems using Machine Learning.
- Professional networking: Certification programs often include a community or network of certified professionals. This can provide opportunities for collaboration, knowledge sharing, and networking with like-minded individuals and industry experts.
- Basic programming skills: Proficiency in a programming language like Python, R, or Java is often required. You should be familiar with concepts like variables, loops, functions, and conditional statements.
- Mathematics and statistics knowledge: Understanding concepts such as linear algebra, calculus, probability, and statistical analysis is crucial for Machine Learning. Some courses may require a basic understanding of these topics.
- Basic knowledge of data analysis: Familiarity with data manipulation, data cleaning, and basic statistical analysis can be helpful in understanding Machine Learning concepts.
- Familiarity with machine learning concepts: While not always a strict prerequisite, having some knowledge of machine learning concepts and algorithms can make it easier to grasp the material covered in the course.
- Machine Learning Engineer
- Data Scientist
- Data Analyst
- Artificial Intelligence Engineer
- Research Scientist
- Business Intelligence Developer
- Working on projects and case studies: You will have the opportunity to work on projects that simulate real-world scenarios, allowing you to apply the learned concepts and techniques to solve practical problems.
- Implementing machine learning algorithms: You will gain experience in implementing various machine learning algorithms, such as linear regression, logistic regression, decision trees, support vector machines, neural networks, and clustering algorithms.
- Data preprocessing and feature engineering: You will learn how to clean and preprocess data, handle missing values, perform feature scaling, and engineer new features to improve model performance.
- Model evaluation and selection: You will gain hands-on experience in evaluating machine learning models, selecting appropriate evaluation metrics, and tuning model parameters to achieve better performance.
- Programming skills: Proficiency in a programming language like Python or R is essential for implementing machine learning algorithms, data manipulation, and analysis.
- Mathematics and statistics: Understanding concepts such as linear algebra, calculus, probability, and statistical analysis is crucial for understanding the underlying principles of Machine Learning.
- Data preprocessing and manipulation: Familiarity with data preprocessing techniques, handling missing values, feature scaling, and data cleaning is necessary for preparing data for machine learning models.
- Yes, many Machine Learning Certification Courses are designed to cater to beginners and individuals with limited or no prior knowledge of Machine Learning.They often include hands-on exercises, practical examples, and projects to help beginners gain a solid foundation in Machine Learning.
- Most Machine Learning Certification Courses provide a certificate upon successful completion. The credibility of the certificate depends on the reputation and accreditation of the training provider. It's important to choose courses offered by reputable institutions, universities, or trusted online learning platforms. Research the credentials and reviews of the course and verify if the certification holds value in the industry you intend to work in.
- Yes, Machine Learning is in high demand across various industries. The ability to extract insights from data, make predictions, and automate processes using Machine Learning techniques is highly sought after. Industries such as technology, finance, healthcare, e-commerce, marketing, and manufacturing are increasingly leveraging Machine Learning to gain a competitive edge, improve decision-making, and enhance efficiency.
- Data-driven decision-making: Machine Learning enables businesses to make data-informed decisions by analyzing and extracting valuable insights from large and complex datasets.
- Automation and efficiency: Machine Learning can automate repetitive tasks, saving time and resources while increasing efficiency and accuracy.
- Predictive capabilities: Machine Learning algorithms can make predictions and forecasts based on historical data, helping businesses anticipate trends, customer behavior, and potential outcomes.
- Personalization: Machine Learning enables personalized recommendations, tailored marketing campaigns, and customized user experiences based on individual preferences and behaviors.
- Fraud detection and cybersecurity: Machine Learning algorithms can detect patterns and anomalies in data, helping in fraud detection, cybersecurity, and risk assessment.
- The difficulty level of learning Machine Learning can vary depending on factors such as your background, prior knowledge, and the complexity of the techniques you're studying. Machine Learning involves a combination of mathematics, statistics, programming, and data analysis, so it requires a certain level of dedication and effort to grasp the concepts and apply them effectively. However, with proper guidance, resources, and practice, it is possible to learn Machine Learning successfully.
Exam & Certification
- Participate and Complete One batch of Machine Learning Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Machine Learning course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

Pranav Srinivas
Software Testing, CapgeminiMachine Learning Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.