AI Engineering

Forward Deployed Engineer(FDE)

100-hour AI Engineer course with 9 chapters and 100 lessons.

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Days
100 Lectures
Instructor
Courszo Faculty
Last Updated: October 26, 2026
Description

100-hour AI Engineer course with 9 chapters and 100 lessons.

Video: Python setup, syntax and execution
1 hour
Video: Variables, data types and type conversion
1 hour
Video: Operators and expressions
1 hour
Video: Strings and string methods
1 hour
Video: Lists, tuples and slicing
1 hour
Video: Sets and dictionaries
1 hour
Video: Conditional statements
1 hour
Video: For and while loops
1 hour
Video: Functions and parameters
1 hour
Video: Lambda, map, filter and reduce
1 hour
Video: Modules, packages and imports
1 hour
Video: Exception handling
1 hour
Video: File handling: text, CSV and JSON
1 hour
Video: List, set and dictionary comprehensions
1 hour
Video: Object-oriented programming fundamentals
1 hour
Video: Classes, objects, inheritance and polymorphism
1 hour
Video: Iterators and generators
1 hour
Video: Decorators and higher-order functions
1 hour
Video: Virtual environments, pip and requirements
1 hour
Video: Dates, regex and practical Python exercises
1 hour
Video: Mathematical foundations for AI
1 hour
Video: Descriptive statistics: mean, median, mode
1 hour
Video: Variance, standard deviation and distributions
1 hour
Video: Probability fundamentals
1 hour
Video: Correlation and covariance
1 hour
Video: Sampling, confidence intervals and hypothesis testing
1 hour
Video: Linear algebra essentials for AI
1 hour
Video: Calculus and optimization concepts
1 hour
Video: Matplotlib: charts and customization
1 hour
Video: Seaborn and exploratory data visualization
1 hour
Video: Machine learning workflow and problem formulation
1 hour
Video: Data preprocessing and train-test split
1 hour
Video: Feature engineering and feature selection
1 hour
Video: Linear and logistic regression
1 hour
Video: K-Nearest Neighbors
1 hour
Video: Naive Bayes
1 hour
Video: Decision trees and random forest
1 hour
Video: Support Vector Machines
1 hour
Video: K-Means clustering
1 hour
Video: PCA and dimensionality reduction
1 hour
Video: Model evaluation and classification metrics
1 hour
Video: Cross-validation and hyperparameter tuning
1 hour
Video: AI search algorithms: BFS, DFS and heuristic search
1 hour
Video: Neural networks and deep learning fundamentals
1 hour
Video: NLP: tokenization, TF-IDF and text classification
1 hour
Video: FastAPI fundamentals and project setup
1 hour
Video: Routing, path parameters and query parameters
1 hour
Video: Request bodies and Pydantic models
1 hour
Video: Response models and validation
1 hour
Video: CRUD APIs and service-layer structure
1 hour
Video: Dependency injection and reusable components
1 hour
Video: Authentication and authorization basics
1 hour
Video: Database integration with SQLAlchemy
1 hour
Video: Error handling, middleware and API documentation
1 hour
Video: Testing, configuration and production deployment
1 hour
Video: HTML5 document structure and semantic elements
1 hour
Video: Forms, tables, media and accessibility basics
1 hour
Video: CSS selectors, box model and typography
1 hour
Video: Flexbox, Grid and responsive layouts
1 hour
Video: JavaScript syntax, variables and functions
1 hour
Video: Arrays, objects, loops and DOM manipulation
1 hour
Video: Events, forms and client-side validation
1 hour
Video: Fetch API, JSON and asynchronous JavaScript
1 hour
Video: Bootstrap components and responsive utilities
1 hour
Video: Frontend mini project integrating HTML, CSS, JS and Bootstrap
1 hour
Video: React fundamentals and project setup
1 hour
Video: JSX, components and props
1 hour
Video: State and event handling
1 hour
Video: Conditional rendering and lists
1 hour
Video: Hooks: useState and useEffect
1 hour
Video: Forms and controlled components
1 hour
Video: React Router and multi-page SPA navigation
1 hour
Video: API integration with Fetch or Axios
1 hour
Video: Reusable components and project structure
1 hour
Video: React frontend mini project
1 hour
Video: Generative AI and LLM fundamentals
1 hour
Video: Tokens, context windows, embeddings and inference
1 hour
Video: Prompt engineering and structured outputs
1 hour
Video: OpenAI API fundamentals and model integration
1 hour
Video: LangChain architecture and core components
1 hour
Video: Prompt templates, chains and output parsers
1 hour
Video: Embeddings, vector stores and RAG fundamentals
1 hour
Video: AI agents, tool calling and responsible application design
1 hour
Video: AI application architecture and integration patterns
1 hour
Video: Loading and managing ML/AI models in APIs
1 hour
Video: Building prediction endpoints with FastAPI
1 hour
Video: Integrating OpenAI APIs into FastAPI
1 hour
Video: LangChain integration with FastAPI
1 hour
Video: Request validation, schemas and structured AI responses
1 hour
Video: File upload, document processing and text extraction
1 hour
Video: RAG API: embeddings, vector database and retrieval
1 hour
Video: Authentication, rate limiting and API security
1 hour
Video: Async processing, caching and performance optimization
1 hour
Video: Logging, monitoring, testing and error handling
1 hour
Video: Dockerization and production deployment of AI APIs
1 hour
Video: Project problem definition, architecture and dataset preparation
1 hour
Video: AI pipeline implementation and model/LLM integration
1 hour
Video: FastAPI backend and React frontend integration
1 hour
Video: Testing, deployment and project documentation
1 hour
Video: Final demo, presentation and portfolio preparation
1 hour
Instructor

Courszo Faculty

(4.5) 1 Courses 0 Enrolled

Experienced instructor focused on practical, project-driven learning.

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