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Kodestree

Machine Learning Course Online with Certification

40 Lessons
|
40 hours

Enroll in our Machine Learning training program to learn how to build intelligent systems and predictive models. You’ll also learn basic, intermediate, and advanced techniques in supervised, unsupervised, reinforcement learning, neural networks, and natural language processing (NLP). This Machine Learning training course features advanced study materials, video tutorials, and practice sessions. Our expert trainers will teach you how to implement algorithms and models in real-time using popular ML tools and libraries. The online Machine Learning course comes in multiple modes like self-paced, one-on-one sessions, and live training, which you can choose as per your convenience. Our trainers take care of every aspirant and also help them prepare for industry-recognized certifications and real-world project applications.

Machine Learning Course Online with Certification
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About Course

Machine Learning is one of the most in-demand technologies used in data science, artificial intelligence, and intelligent automation. kodestree’s Machine Learning course offers hands-on, practical training designed by industry experts who have more than 20 years of experience. Our ML course helps you understand how systems learn from data to make predictions and automate tasks. Learn practical skills in deep learning, NLP, MLOps, and AI model deployment. If you are a beginner or looking to strengthen your ML skills, you will work on real-world datasets and use cases in a structured learning environment. Start your Machine Learning journey today and build the skills required to grow your career in data-driven and AI-focused roles.

Prerequisites

  • Basic understanding of math (algebra, statistics, probability)
  • Familiarity with Python programming
  • Basic knowledge of data handling (optional but helpful)
  • No prior machine learning experience required

What Will You Learn

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Engineering and Data Preprocessing Features
  • Model Evaluation
  • Hyperparameter Tuning
  • Ensemble Techniques like XGBoost, LightGBM, CatBoost
  • Deep Learning Fundamentals
  • Transformers and Attention Mechanism
  • Natural Language Processing (NLP) with Transformers
  • Time Series Forecasting with ARIMA, Prophet, LSTM
  • Reinforcement Learning
  • Generative AI: GANs and Diffusion Models
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering Fundamentals
  • Fine-Tuning Large Language Models (LLMs)
  • AI Agents and Agentic AI Fundamentals
  • Vector Databases Basics
  • Small Language Models (SLMs)
  • Transfer Learning for Computer Vision and NLP
  • AI Model Deployment
  • Pipelines and Monitoring in MLOps
  • Ethical Artificial Intelligence (AI)

20+ Industry Tools You’ll Actually Use

  • Python
  • R
  • Jupyter Notebook
  • Anaconda
  • Scikit-learn
  • TensorFlow 2.x
  • Keras
  • PyTorch
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Google Colab
  • Hugging Face Transformers
  • FastAI
  • MLflow
  • Streamlit
  • OpenCV
  • Weights and Biases (W&B)
  • AutoML (Google AutoML, H2O.ai)
  • ONNX (Open Neural Network Exchange)

Is This Course Right for You?

This training is designed for a wide range of professionals. See if you recognise yourself.

  • Software Developers
  • Data Analysts
  • AI Enthusiasts
  • IT Professionals and Engineers
  • Students and Graduates in CS, Math, or Statistics
  • Business Professionals
  • Professionals implementing ML in projects
  • Anyone aiming for a career in Machine Learning

Job Roles After Machine Learning Course

  • Machine Learning Engineer
  • Data Scientist
  • AI Engineer
  • Data Analyst
  • MLOps Engineer

Benefits of Machine Learning Certification Course Online

  • Build strong foundations in Machine Learning and AI
  • Gain hands-on experience with real-world ML projects
  • Learn in-demand skills like Deep Learning, NLP, and MLOps
  • Improve problem-solving and data-driven decision-making skills
  • Prepare for high-demand job roles such as Machine Learning Engineer and MLOps Engineer
  • Higher salary growth and better career opportunities in AI-driven industries

Skills That Show Up in Every ML Job Description

  • Machine Learning Algorithms
  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning
  • Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Model Evaluation
  • Feature Engineering
  • Data Preprocessing
  • Prediction Models
  • Reinforcement Learning
  • Recommendation Systems
  • Model Deployment

About the Trainer

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About the Trainer

Senior ML & AI Trainer

Machine Learning Engineer

20+Years Experience
3,000+Students Trained
50+Batches Conducted
MNCIndustry Background

Our trainer has 20+ years of experience in Machine Learning and AI. He has worked on real projects in top companies and knows what the industry actually needs. He teaches in a simple, step-by-step way so that beginners and working professionals both can follow easily. He holds certifications in Machine Learning and AI from globally recognized platforms.

  1. Teaches ML from basics to advanced – Deep Learning, NLP, LLMs, and more
  2. Explains every topic with live coding and real examples
  3. Answers all your doubts during class and after class too
  4. Helps you prepare for ML job interviews
  5. All classes are recorded – watch again anytime you need

Course Curriculum

Course Content

Lesson 1 – Introduction to Machine Learning

  • What is Machine Learning?
  • Types of ML: Supervised, Unsupervised, Reinforcement Learning
  • Applications and Use Cases Across Industries

Lesson 2 – Python for Machine Learning

Lesson 3 – Data Preprocessing & Feature Engineering

Lesson 4 – Exploratory Data Analysis (EDA)

Lesson 5 – Supervised Learning Algorithms

Lesson 6 – Unsupervised Learning Algorithms

Lesson 7 – Model Evaluation and Validation

Lesson 8 – Model Tuning & Optimization

Lesson 9 – Introduction to Deep Learning

Lesson 10 – Natural Language Processing (NLP)

Lesson 11 – Time Series Analysis

Lesson 12 – Capstone Project

Request For Live Demo Class

Self Paced Learning
₹77,940.00
✓ Refund Policy
  • Duration: 40 hrs
  • 40 Lessons & Practical Labs
  • Lifetime Full Access & Free Upgrades
  • Downloadable Study Materials & Code Labs
  • Recognized Certification of Completion
  • 24x7 Online Support & Learner Forum
One to One Training
Contact Us
  • 100% Customized Delivery & Curriculum
  • Flexible Schedule as per Learner Convenience
  • Top Tier Industry-Experienced Instructors
  • Tailored Hands-On Project Mentoring
  • Dedicated Interview & Career Guidance
  • 24x7 Dedicated Priority Support

Placement Partners

Hettich
Bechtel
Emirates
Mitsubishi
Indian Navy
Tech Mahindra
AU Small Finance Bank
Capgemini
United Nations
Yash Technologies

Want to know Today's Offer

Machine Learning Course Online with Certification Certification Exam

Upon completing the Machine Learning Course Online with Certification, you will receive a globally recognized certification that validates your expertise in data science, machine learning, and AI model development. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The AI & Data Science certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Read more
Machine Learning Course Online with Certification

Frequently Asked Questions

Machine learning is a subset of artificial intelligence. While AI is the broad goal of making machines behave intelligently, machine learning is the specific technique that gets us there - by training algorithms to find patterns in data, rather than hand-coding rules. Think of AI as the destination and ML as one of the main roads.

Machine learning is used in healthcare, finance, banking, e-commerce, retail, manufacturing, cybersecurity, telecommunications, education, transportation and many other industries.

Machine learning can be difficult to understand at first, specifically if you are unfamiliar with programming or mathematical concepts such as linear algebra, probability, and calculus. But with constant practice and availability to easy for beginners tools like as Python libraries (e.g., TensorFlow, Scikit-learn), it is feasible. To properly master a subject, our course can prove to be very useful.

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 kodestree’s Machine Learning Training online.

Yes. All classes are recorded, so you can watch a missed session later and revisit the lessons whenever you need to. This is especially useful if you want to review a complex topic or practice along with the trainer after the live class.

The training includes support for ML job-interview preparation. However, interview readiness also depends on your own practice with Python, Machine Learning concepts, problem-solving, and projects.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

LEARNER SUCCESS

What Learners Say

Real feedback from professionals who transformed their careers with our training

4.8/5
Average Rating
1,200+ Learner Reviews
Learner Reviews
Ankit Sharma Priya Menon Rahul Verma Sneha Kapoor +
10,000+
Learners Trained
Ankit Sharma Priya Menon Rahul Verma Sneha Kapoor +
95% Satisfaction
Satisfaction Rate
“

The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

“

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

“

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

“

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

“

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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