AI & Machine Learning for Developers
Build intelligent applications with modern AI tools
Practical ML engineering covering Python, scikit-learn, TensorFlow, LLM integration, RAG pipelines, and AI API development. Build real-world AI applications and deploy them to production.
Instructor
Finance AI 360 Expert Team
Industry-certified security professionals
AI & Machine Learning for Developers
77
Lessons
55h
Content
6
Modules
Available through bundles
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55h
Total Hours
77
Lessons
Intermediate
Level
Included
Certificate
What You'll Learn
Build a Logistic Regression model
Train and validate the model
Evaluate model performance metrics
Understanding feature selection methods
Implement engineered features
Evaluate feature importance
Set up a basic RAG pipeline
Configure data sources and models
Run a simple retrieval and generation process
Install required software packages and libraries.
Configure API access for the chosen LLM.
Validate the setup through a basic test.
Course Curriculum
6 modules · 77 lessons · 55h total
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