Machine Learning Engineer
Micro Credentials Overview: Machine Learning Engineer Essentials
This workshop is designed for aspiring Machine Learning Engineers looking to build a strong foundation in developing, deploying, and optimizing machine learning models. From understanding the basics of machine learning pipelines to implementing advanced techniques, participants will gain hands-on experience and learn best practices to create impactful ML solutions.
Curriculum by Industry Expert
Mentors are Tech leads
80% Hand on Workshop
Skill Level Beginner to Advance
Certification of Completion
Tools you master
What will you learn
Basics of Machine Learning Engineering
- Core concepts: supervised, unsupervised, and reinforcement learning.
- End-to-end machine learning workflow: data preparation, modeling, evaluation, and deployment.
- Introduction to common ML tools and libraries: scikit-learn, TensorFlow, PyTorch.
Types of Machine Learning Pipelines
- Data Engineering Pipelines: Preparing and preprocessing data for ML.
- Model Training Pipelines: Automating hyperparameter tuning and validation.
- Deployment Pipelines: Deploying models to production using tools like Docker and Kubernetes.
Writing Effective Machine Learning Models
- Choosing the right algorithm for different tasks.
- Evaluating model performance using metrics like accuracy, precision, recall, and F1-score.
- Best practices for ensuring reproducibility and scalability.
Advanced Techniques in Machine Learning
- Feature engineering and dimensionality reduction techniques.
- Hyperparameter tuning using grid search, random search, or Bayesian optimization.
- Integrating ML models with CI/CD pipelines for continuous improvement.
Hands-On Exercises
- Building a classification model using scikit-learn.
- Experimenting with neural networks using TensorFlow or PyTorch.
- Deploying an ML model as a REST API.
Applications Across Domains
- Healthcare: Predictive modeling for patient outcomes and diagnostics.
- Finance: Fraud detection, credit scoring, and algorithmic trading.
- Retail: Demand forecasting, personalization, and recommendation systems.
Whom will you learn from ?
Sivaram is an AI Solution Architect with expertise in AI technologies like Generative AI, Computer Vision, and Machine Learning.
Vikas Patel, an IITian, is a Machine Learning Scientist at Nykaa with extensive experience in insurance, healthcare, finance, and e-commerce.
Sagnik Pal is a seasoned expert in leveraging AI and cutting-edge technologies to drive transformative business outcomes.
Senior Data Scientist at PwC, Data & Analytics and Engineering Specialist
As the Head of Technology at Blue Data, I help enterprises accelerate their data and AI transformation strategy.
As a Lead Data Scientist with 11 years of IT experience, I have conducted over 60 training sessions in Generative AI, ML/AI, and AWS.
Mohit is an AI/ML and Data enthusiast, and has been working with data, analysis, AI, and strategy & insights for 12+ years.
Project Associate in MathWorks GNSS Project | AI & Machine Learning | Data & Video Analytics | Generative AI & NLP for Business Solutions.
Co-Founder &CEO - CognisysAI Pvt. Ltd. || CTO - Incline Inventions Pvt. Ltd.
Senior Data Scientist with a wealth of experience in the fields of Computer Vision(CV), Natural Language Processing (NLP) & structured data analysis.
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Your Machine Learning Engineer
Certificate is Awaiting
Industry-recognized certification
Our certification in Machine Learning Engineering showcases your expertise in building and deploying machine learning models. It’s the key to unlocking advanced career opportunities in AI-driven roles across industries.
Effortless Sharing of Your Achievement
Showcase your certification with ease! Share it on LinkedIn, your portfolio, or directly with employers to demonstrate your readiness for AI-driven roles in the workforce.
Boost Your Professional Productivity
Master advanced machine learning tools to build and deploy models that solve real-world problems and automate tasks. Enhance your efficiency and innovation in any role by leveraging cutting-edge AI technologies.
FAQ's
A Micro Credentials course is an online training session where participants can join from anywhere via the internet. It provides interactive sessions, presentations, and discussions in a virtual environment.
After registering, you will receive an email with a link and instructions to access the Micro Credentials course. You’ll need a stable internet connection, a device (laptop or smartphone), and possibly a headset for the best experience.
Yes, participants who complete the Micro Credentials course and meet any specified criteria will receive a certificate of participation.
Absolutely! Our Micro Credentials courses are interactive, allowing participants to ask questions and participate in discussions through chat or video/audio during designated Q&A sessions.
If you miss the live session, a recording of the Micro Credentials course will be available for a limited time. You can access it through your account on our website.