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AI (Machine Learning & Deep Learning)

AI (Machine Learning & Deep Learning)

Unlock the potential of data with CODEWORK’s industry-leading Artificial Intelligence, Machine Learning, and Deep Learning Course Online. This comprehensive, hands-on program moves from foundational concepts to advanced skills, preparing you to build, deploy, and explain modern AI solutions. Gain job-ready AI and ML skills with real-world projects, coding practice, deployment experience, and direct placement support.

Step-by-step learning
Focus on coding
Industry tools
Job-ready skills
AI Machine Learning Deep Learning Course
AI & ML
From Basics to Advanced

AI (Machine Learning & Deep Learning) Program

By the end, you'll be confident in building and deploying AI models just like in industry. This program offers step-by-step learning from beginner to advanced, focus on coding and projects, industry tools and workflows, and job-ready AI skills.

Why Choose CODEWORK for AI & ML Training?

Project-Driven Curriculum: Learn through real, practical scenarios—build a portfolio for career opportunities.
Expert-Led Training: Courses designed by experienced AI engineers, following global best practices.
Job-Focused Outcomes: Master sought-after ML and DL techniques, industry workflows, and deployment—plus resume, LinkedIn, and GitHub portfolio development.

Who Should Join?

Beginners seeking an introduction to AI, machine learning, and deep learning
Professionals looking to advance their tech or data science careers
Students aiming for hands-on, placement-oriented certification

What You'll Learn

Key AI & ML Concepts

Supervised Learning

Regression, classification models, real project examples (e.g., House Price Prediction, Titanic Analysis)

Unsupervised Learning

Clustering, dimensionality reduction, business insights (Customer Segmentation)

Model Improvement

Testing, tuning, best model selection, feature engineering, and anomaly detection

Data Handling & Explainability

Data science workflows, transparency, and responsible AI applications

Deployment

Making machine learning models usable in real-world applications (with cloud & local options)

Deep Learning

Full introduction to neural networks, CNNs for image data, RNNs & LSTM for sequence and text (Sentiment Analysis, Fashion Classification)

Skills You'll Gain

By the end of the course, you'll know how to:

Build ML models using Python and scikit-learn
Create and deploy deep learning models with TensorFlow/Keras
Use advanced techniques like cross-validation and ensemble methods
Clean, prepare, and visualize real-world datasets
Deploy AI solutions using APIs or dashboards
Apply CNNs for images and RNNs/LSTMs for text and time-series data

Real-World, Capstone & Industry Projects

This course is project-driven, so you'll practice on real problems:

Credit Card Fraud Detection

Anomaly detection (XGBoost)

Sentiment Analysis

Text classification with deep learning

Fashion Image Classification

Computer vision using CNN

Custom Capstone

Tackle a complex industry problem—choose from healthcare, NLP, or e-commerce

COURSE BENEFITS

PLACEMENT ASSISTANCE

*MIN 5 COMPANY WALK-INS

GitHub portfolio and Job-ready resume to enhance career prospects.

Career & Certification Benefits

Complete career support from training to job placement:

Guaranteed Placement Assistance: Minimum 5 company interviews (walk-ins)

Certification on Completion: Earn a career-boosting AI credential from CODEWORK

Resume & LinkedIn Building: Stand out with practical GitHub projects and 1:1 mock interviews

Ready to advance your tech career? Join CODEWORK’s Artificial Intelligence, Machine Learning & Deep Learning Course Online today and master the future of AI.

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