Tech Vibes

Real Skills. Built Together. For a Better Life.

Learn coding and AI through hands-on Vibes, designed with software engineers who build real tech and AI systems every day.

Java Essentials

12-Sessions

Covers complete foundation in Java programming fundamentals.

Java Collections & Data Structures

4-Sessions

Covers Java Collections Framework and core data structures like List, Set, Map, Stack, Queue, and Maps.

Python Essentials

12-Sessions

Covers complete foundation in Python programming fundamentals.

Python OOP & Data Structures

4-Sessions

Covers object-oriented programming and practical use of Python’s built-in data structures.

Command the Future: Unix for AI Minds

4-Sessions

Quick Overview: Learn Unix and shell scripting to power, automate, and scale AI, ML, and cloud systems.

Data Structures & Algorithms Foundations

6-Sessions

Quick Overview: How computers solve problems using smart techniques - the core of computer science.

Version Control with Git & GitHub

2-Sessions

Quick Overview: Learn how developers track, share, and manage their code like professionals.

AI Basics

Explore what Artificial Intelligence is and how it’s shaping the world around us.

Types of AI

Learn about different types of AI - from simple rule-based bots to self-learning systems.

AI vs. Machine Learning vs. Deep Learning

Understand how these powerful tools are connected and how they each solve problems.

Machine Learning (ML) Basics

See how machines learn from data and make predictions - like recommending your next song or movie.

Machine Learning (ML) Libraries & Frameworks

Intro to essential ML libraries - TensorFlow, PyTorch, Scikit-Learn, Keras, NumPy, and Pandas - to build and analyze AI models.

Neural Networks: Foundations

The following curriculum was developed with real AI and software engineers, who helped choose the topics and learning order.

Deep Learning: Foundations

Go deeper into how machines learn complex things like images and voices with powerful networks.

Natural Language Processing (NLP): Foundations

Learn how computers understand and generate human language - like Siri, Alexa, or ChatGPT.

Large Language Models (LLMs): Foundations

Explore the brains behind ChatGPT and other smart tools that can read, write, and reason with text.

Computer Vision With Convolutional Neural Networks (CNNs)

Understand how AI sees and understands images - used in everything from selfies to self-driving cars.

Generative AI: Create with Intelligence

Learn how AI can create images, music, and text - and how to guide it to do amazing things.

Prompt Engineering: Talking to AI

Master the skill of talking to AI tools like ChatGPT - the better your questions, the better the answers.

RAG (Retrieval-Augmented Generation): Foundations

User AI with real-world knowledge to create smarter tools that pull answers from trusted sources.

MCP (Model Context Protocol) Basics

Learn how AI tools securely connect to files, data, and real-world systems using a standard protocol.

Cline: AI Coding Assistant

AI coding assistant that helps plan, write, and debug code.

Agentic AI: Building AI Agents

AI agents that plan tasks and make decisions.

LangChain: AI Workflows (Conceptual)

How AI tools connect to data and tools.

NotebookLM Basics

Turn notes and documents into structured knowledge.

Ethics in AI

Bias, Safety, and Responsible Use - Explore how to use AI in safe, fair, and thoughtful ways - because smart doesn’t always mean right.

AI in the Real World: Impact & Applications

Healthcare Focus - See how AI is improving lives in healthcare - from early diagnosis to life-saving discoveries.