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
Build intelligent applications with modern AI tools
76
Lessons
55h
Content
6
Modules
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55h
Total Hours
76
Lessons
Intermediate
Level
Included
Certificate
What You'll Learn
Define compilation parameters for a model
Select appropriate loss functions and optimizers
Evaluate the effect of different configurations on model performance
Understand the purpose of TensorFlow Serving
Learn how to serve a trained model
Evaluate model performance in a production environment
Understand hyperparameters in models
Perform grid and random searches
Evaluate hyperparameter impact on performance
Explain load balancing strategies for APIs
Implement caching solutions
Discuss horizontal scaling practices.
Course Curriculum
6 modules · 76 lessons · 55h total
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