1st lesson free
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Britto
- Rate $64
- Response 1h
$64/h
Contact
1st lesson free
- Computer programming
- C
- JavaScript
- Artificial Intelligence
- PostgreSQL
Python Full stack developer and AI developer genAI and data engineering for 80NZD
- Computer programming
- C
- JavaScript
- Artificial Intelligence
- PostgreSQL
Lesson location
About Britto
About Me
With over 11 years of experience in teaching and technical training, I specialize in Data Structures, C, C++, Java, Python, Full Stack Development, Artificial Intelligence, and Data Engineering. I have trained both university students and working professionals, helping them build strong programming foundations and industry-ready skills.
My training approach focuses on core concepts, real-time project implementation, problem-solving techniques, and interview preparation. I emphasize practical learning through hands-on coding, live projects, and industry use cases to ensure students gain confidence and technical depth.
I have mentored students for academic excellence, campus placements, and career transitions into software development, AI, and data engineering roles. My sessions are structured, interactive, and aligned with current industry standards.
Whether you are a beginner building fundamentals or a professional upgrading your skills, my goal is to provide clear, concept-driven, and career-oriented training.
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About the lesson
- Elementary School
- Middle School
- High School
- +11
levels :
Elementary School
Middle School
High School
Première
Terminale
Adult Education
Masters/ Graduate School
Doctorate
Other
Beginner
Intermediate
Advanced
Proficient
Children
- English
All languages in which the lesson is available :
English
Python Fullstack
Intro to Python, scripting basics, setup, syntax, variables, and data types
hands-on exercises + mini project
Day 1
Operators, conditional statements, and loops
hands-on exercises + mini project Day 2
Functions, recursion, lambda, and modular programming
hands-on exercises + mini project
Day 3
Regex, file handling, and exception management
hands-on exercises + mini project
Day 4
Mini project: File parser and automation script
hands-on exercises + mini project
Day 5
Classes, objects, inheritance, encapsulation, and polymorphism
hands-on exercises + mini project
Day 6
Modules, packages, decorators, and iterators
hands-on exercises + mini project Day 7
Threading, multiprocessing, and performance optimization
hands-on exercises + mini project
Day 8
NumPy and Pandas essentials with data manipulation
hands-on exercises + mini project
Day 9
Flask basics, routing, and templates
hands-on exercises + mini project Day 10
FastAPI introduction and RESTful endpoints
hands-on exercises + mini project Day 11
API testing with Postman and Git version control
hands-on exercises + mini project
Day 12
Deployment basics and error handling in APIs
hands-on exercises + mini project Day 13
Unit testing with Pytest and CI/CD pipelines
hands-on exercises + mini project Day 14
GitHub Actions and automation
hands-on exercises + mini project Day 15
Docker basics and containerization
hands-on exercises + mini project Day 16
SQL databases and CRUD operations
hands-on exercises + mini project Day 17
NoSQL (MongoDB), ORM, and JSON parsing
hands-on exercises + mini project Day 18
Database testing and integration exercises
hands-on exercises + mini project Day 19
Capstone: Build and deploy Python web API project
hands-on exercises + mini project
Day 20
Python ML / DL Intro to Data Science, Pandas, NumPy, and Matplotlib
guided labs Day 21
Descriptive statistics and probability basics
guided labs Day 22
Exploratory Data Analysis with Python
guided labs Day 23
Regression models – Linear & Multiple regression
guided labs Day 24
Classification models – Logistic regression, KNN, Decision Trees
guided labs Day 25
Clustering techniques – KMeans, DBSCAN, Hierarchical clustering
guided labs Day 26
Model evaluation and pipelines using scikit-learn
guided labs Day 27
Intro to Neural Networks and Deep Learning
guided labs Day 28
CNN fundamentals with TensorFlow/Keras
guided labs Day 29
Image classification mini-project with OpenCV
guided labs Day 30
GenAI / Agentic Generative AI basics, prompt engineering, and embeddings
use-case development Day 31
Vector databases and retrieval-augmented generation (RAG)
use-case development Day 32
Transformers and model fine-tuning introduction
use-case development Day 33
LangGraph, CrewAI, and Autogen orchestration
use-case development Day 34
Building agents in Copilot Studio with GPT-powered flows
use-case development Day 35
Model Context Protocol (MCP), SDKs, and connectors
use-case development Day 36
Azure AI
Azure AI & Cloud overview, AI Studio setup, and compliance
Azure portal practice
Day 37
Azure OpenAI API and custom model deployment
Azure portal practice Day 38
Cognitive Services – Azure Bot and Document Intelligence
Azure portal practice Day 39
MLOps lifecycle and monitoring with Azure ML
Azure portal practice Day 40
Enterprise deployment with Azure AI Foundry
Azure portal practice Day 41
Azure Data Engineering & Analytics
Azure Data Factory – pipelines, triggers, and monitoring
data visualization tasks
Day 42
PySpark basics – RDDs, DataFrames, and Spark SQL
data visualization tasks Day 43
Microsoft Fabric – Lakehouse, OneLake, and real-time analytics
data visualization tasks
Day 44
Power BI – Data modelling, DAX, and dashboards
data visualization tasks Day 45
Capstone & Assessment
Project kickoff – problem statement and team setup
Mentored project + evaluation + feedback session
Day 46
Build AI-powered chatbot using GenAI APIs
Mentored project + evaluation + feedback session
Day 47
Integrate analytics and reporting via Power BI
Mentored project + evaluation + feedback session
Day 48
Deploy solution on Azure with CI/CD pipeline
Mentored project + evaluation + feedback session
Day 49
Final project review and Python/AI assessment test
Mentored project + evaluation + feedback session
Day 50
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Rates
Rate
- $64
Pack rates
- 5 h: $320
- 10 h: $640
online
- $64/h
free lessons
This first lesson offered with Britto will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hrs
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