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
Understand the purpose of NumPy in data processing
Create and manipulate NumPy arrays
Perform basic mathematical operations using NumPy
Understand hyperparameters in models
Perform grid and random searches
Evaluate hyperparameter impact on performance
Define large language models and their significance.
Explain the fundamental architecture behind LLMs.
Identify key differences between LLMs and traditional machine learning models.
Identify ethical issues related to LLMs.
Discuss bias and misinformation in generated content.
Explore frameworks for mitigating ethical risks.
Course Curriculum
6 modules · 77 lessons · 55h total
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