From Beginner to Expert - Master
MLOps
MLOps |
A Career Transition program on MLOps by Big Classes!
Batch Details
- 4.5/5 Rating
- 1274 Learners
Course Highlights
- Comprehensive Curriculum: Covers essential topics in MLOps and designed to build a strong foundational understanding.
- Hands-on Projects: Offers practical, project-based learning to help students apply theory to real-world scenarios.
- Expert Mentorship: Provides personalized guidance from industry professionals and MLOps experts, ensuring a deeper understanding of concepts.
- Job-Ready Skills: Focuses on skills and tools needed to excel in the MLOps industry, with placement assistance and career support.
- Cutting-Edge Tools: Teaches the Tools such as Git, Jupyter Notebooks, Kubernetes, Jenkins and other.
- Flexible Learning: Offers both live sessions and recorded lectures to accommodate diverse learning schedules.
- Industry Collaboration: Partnerships with leading tech companies for job placements and internships, ensuring exposure to top-tier opportunities.
- Certifications: Awarding certificates that validate student's proficiency in MLOps, boosting employability.
Course Overview
The MLOps Course by BigClasses is designed to provide a comprehensive understanding of machine learning operations, focusing on the end-to-end lifecycle of ML models in production. The course covers key concepts such as model development, deployment, monitoring, and automation, using popular tools like Docker, Kubernetes, Jenkins, and TensorFlow. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, manage model versions, and automate workflows for scalable and reliable machine learning systems. With hands-on projects and real-world case studies, this course equips you with the practical skills to deploy, monitor, and maintain machine learning models in production environments, ensuring their performance and reliability over time. Ideal for professionals looking to enhance their careers in AI and machine learning, the course prepares you to effectively manage ML models in production, making you proficient in MLOps practices.
Course Curriculum
Day 1: Python Basics
- Syntax
- Variables
- Data Types
Day 2: Data Structures
- Lists
- Dictionaries
- Loops
Day 3: Functions & File Handling
Reading CSV files
Day 4: Pandas Basics
- DataFrames
- Filtering
- Basic Stats
Day 5: Data Cleaning
- Handling Missing Values
- Removing Duplicates
Day 6: Intro to Visualization
- Matplotlib
- Line plots
- bar Charts
Day 7: Advanced Visualization
- Seaborn
- Heatmaps
- Distribution Plots
Day 8: Exploratory Data Analysis
EDA with Pandas & Seaborn
Day 9: Mini-Project
Analyze & Visualize a dataset
Day 10: Capstone Project
End-to-End Analysis & Presentation
Free Career Counselling
We are Happy to help you 24/7
Hands on AI Projects
Analytics Project 1 with Python
Analytics Project 2 with Python
Our Trainers
- Mr. Bhanu
- Lead Data Scientist & Gen AI Consultant
- 4.5+ Years of Experience of Industry Experience
- About the Tutor
- Our trainer is a Lead Data Scientist specializing in Generative AI and Prompt Engineering, with expertise in LLMs like Llama2. Over 4.5+ years of experience in data science, focusing on predictive modelling, data preprocessing, NLP, and ML. She is a Generative AI industry expert and seasoned lead trainer, adept at shaping students’ careers by leveraging real-world scenarios in Data Science and Generative AI.
- Mr. Varun
- AI Engineer
- 4.5+ Years of Experience of Industry Experience
- About the Tutor
- Varun Thati is an AI and Software Engineer with 4.5+ years of experience specializing in Machine Learning, Generative AI, and Multi-Agent Systems. He is proficient in Python, NLP, Deep Learning, and AI-driven automation, with expertise in frameworks like TensorFlow, PyTorch, and FastAPI. Varun has developed and deployed AI-powered automation tools, customer support solutions, and predictive analytics systems using LLMs such as GPT and Gemini. He has strong experience in building scalable AI solutions, optimizing database performance, and developing robust APIs for AI integration. Passionate about Agentic AI, he continues to explore cutting-edge AI advancements to optimize workflows and drive innovation.
Artificial Intelligence Certification
The MLOps Training by BigClasses is designed to equip individuals with the essential skills to manage and deploy machine learning models in production environments. This certification covers both foundational and advanced MLOps concepts, including model development, deployment, automation, monitoring, and scalability. You will gain hands-on experience with tools like Docker, Kubernetes, Jenkins, and TensorFlow, learning to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines for efficient and reliable machine learning workflows.
Our MLOps Certification not only validates your expertise in machine learning operations but also prepares you to build, deploy, and maintain AI-driven solutions in real-world scenarios. With this globally recognized certification, you will enhance your career prospects and gain the confidence to tackle complex MLOps challenges, ensuring the performance and scalability of ML models while adhering to best practices and ethical standards in AI.
Placement Assistance
Comprehensive Job Assistance
- Mastering the course
- Hackathons and Mock-Interviews with SMEs
- Quizzes and Assignments
- Portfolio Building with SMEs Assistance
- Resume Review
Student Testimonials
The MLOps Training by BigClasses provided me with a deep understanding of machine learning model deployment and management. The hands-on projects and real-world applications helped me gain practical experience, and the course content was both detailed and easy to understand. I feel confident in implementing MLOps practices in my work now.
BigClasses' MLOps Training is a game-changer for anyone looking to work with machine learning in production. The course covered everything from model deployment to monitoring and automation. The instructors were knowledgeable and always available for support. This course has greatly enhanced my skills and career prospects in MLOps.
I had no prior experience in MLOps, but BigClasses made it easy to grasp the concepts. The course offered excellent training in using tools like Docker, Kubernetes, and Jenkins, and helped me understand the entire machine learning pipeline. I highly recommend this course to anyone interested in MLOps.
After completing the MLOps Training at BigClasses, I now have a solid foundation in automating and managing machine learning workflows. The practical sessions were extremely helpful in applying what I learned. This course is perfect for professionals looking to advance their careers in AI and machine learning operations.
Course FAQs
What is the duration of the MLOps Training by BigClasses?
The MLOps Training typically lasts 3 to 6 months, depending on your learning pace. The course is designed to be flexible, allowing you to learn at your own speed.
Do I need prior experience in machine learning to join the MLOps course?
While prior experience in machine learning can be helpful, the course starts with the basics and gradually advances to more complex topics, making it suitable for both beginners and professionals.
Which tools and technologies are covered in the MLOps course?
The course covers essential MLOps tools such as Docker, Kubernetes, Jenkins, TensorFlow, Scikit-learn, Git, and Cloud platforms, with a focus on automating, deploying, and monitoring ML models.
Will I get hands-on experience during the MLOps course?
Yes, the course includes practical exercises, projects, and case studies to help you gain hands-on experience in deploying, monitoring, and managing machine learning models in production.
What support will I receive if I have doubts during the course?
You will have access to live sessions, instructor support, discussion forums, and one-on-one assistance to resolve any doubts or queries you may have during the course.
Is the certification from BigClasses globally recognized?
Yes, the MLOps Certification from BigClasses is globally recognized and will help enhance your career prospects, enabling you to showcase your expertise in machine learning operations.
What career opportunities can I pursue after completing this course?
This course prepares you for roles such as AI Developer, Machine Learning Engineer, Data Scientist, and AI Researcher, with opportunities in industries like healthcare, finance, and technology.
Can I access the course material after completing the program?
Yes, once enrolled, you will have lifetime access to the course materials, including updates, so you can revisit the content whenever necessary.
What is the mode of training for the Artificial Intelligence course?
The MLOps Training is offered online, featuring video lectures, assignments, live sessions, quizzes, and practical projects, making it easy to learn at your own pace while receiving expert guidance.
