Our Core Values

Integrity

We uphold the highest standards of integrity in all of our actions. We are honest, transparent, and ethical in everything we do.

Respect

Committed to fostering an inclusive culture that values diversity, encourages respectful dialogue, and ensures dignified treatment for all stakeholders.

Innovation

We embrace change and continuously seek new ways to improve our products and services. Innovation is at the heart of our company.

Empathy

Demonstrating understanding and compassion in all interactions, valuing customers' perspectives, and ensuring genuine consideration.

Add Value

Driving business growth by consistently adding value to clients and the broader community through innovative solutions and a commitment to excellence.

Collaboration

Fostering a team-oriented environment where ideas are shared openly, and everyone works together to achieve common goals.

One-Day Workshops

Join our one-day workshops to explore cutting-edge AI and LLM technologies.

ChatGPT Prompt Engineering for Developers

Learn effective prompting, summarizing, inferring, and expanding with LLMs.

Building Systems with the ChatGPT API

Automate workflows, chain LLM calls, and improve output relevance and safety.

LangChain for LLM Application Development

Use LangChain for prompts, parsing, memory, chains, and agent-based applications.

How Diffusion Models Work

Understand and build diffusion models, implementing algorithms for sampling speed.

LangChain: Chat with Your Data

Create a chatbot with LangChain to interact with private data and documents.

Building Generative AI Applications with Gradio

Quickly build and demo ML apps, sharing them on Hugging Face Spaces.

Evaluating and Debugging Generative AI Models Using Weights and Biases

Learn MLOps tools for managing, versioning, debugging, and experimentation.

Large Language Models with Semantic Search

Use LLMs to enhance search and summarize results using Cohere Rerank and embeddings.

Finetuning Large Language Models

Learn when to use finetuning vs. prompting and prepare data for specific domains.

How Business Thinkers Can Start Building AI Plugins With Semantic Kernel

Learn Semantic Kernel, an open-source orchestrator, for using LLM building blocks.

Understanding and Applying Text Embeddings

Accelerate application development using text embeddings for semantic meaning.

Pair Programming with a Large Language Model

Learn to prompt an LLM to improve, debug, and document code, enhancing productivity.

Functions, Tools and Agents with LangChain

Explore LangChain Expression Language to compose and customize chains and agents.

Vector Databases: from Embeddings to Applications

Design and execute real-world applications of vector databases for efficient retrieval.

Quality and Safety for LLM Applications

Learn how to evaluate and enhance safety and security in your LLM applications.

Building and Evaluating Advanced RAG Applications

Master advanced RAG retrieval methods like sentence-window and auto-merging.

Reinforcement Learning from Human Feedback

An introduction to tuning LLMs with RLHF, and fine-tuning the Llama 2 model.

Advanced Retrieval for AI with Chroma

Improve the relevancy of retrieval results and use LLMs for better query results.

Build LLM Apps with LangChain.js

Expand your toolkit with LangChain.js for JavaScript-based LLM development.

LLMOps

Learn LLMOps best practices for fine-tuning and deploying LLMs efficiently.

Automated Testing for LLMOps

Create CI pipelines to evaluate LLMs on every change for reliable development.

Building Applications with Vector Databases

Develop six applications using vector databases for semantic search and more.

Serverless LLM apps with Amazon Bedrock

Deploy serverless LLM applications with Amazon Bedrock for scalable solutions.

Prompt Engineering with Llama 2 & 3

Master prompting techniques with Meta's Llama models for diverse applications.

Open Source Models with Hugging Face

Utilize open-source models on Hugging Face to build AI applications easily.

Knowledge Graphs for RAG

Implement knowledge graphs to enhance retrieval-augmented generation (RAG).

Efficiently Serving LLMs

Optimize LLM performance with KV caching for efficient multi-user applications.

JavaScript RAG Web Apps with LlamaIndex

Build RAG applications in JavaScript to interact with data intelligently.

Red Teaming LLM Applications

Learn to identify and mitigate vulnerabilities in LLM applications.

Preprocessing Unstructured Data for LLM Applications

Extract and normalize content from diverse documents for improved RAG.

Quantization Fundamentals with Hugging Face

Compress models with quantization to optimize resources for AI applications.

Getting Started With Mistral

Explore Mistral’s models and API to enhance LLM capabilities with structured output.

Prompt Engineering for Vision Models

Learn techniques like object detection and in-painting with vision models.

Quantization in Depth

Customize model compression with advanced quantization techniques.

Building Agentic RAG with LlamaIndex

Develop agent-based RAG systems for document Q&A and summarization.

Building Multimodal Search and RAG

Create smarter multimodal retrieval and generation applications.

Multi AI Agent Systems with crewAI

Automate business workflows with multiple AI agents for higher efficiency.

Introduction to On-Device AI

Deploy AI on edge devices with model conversion and quantization techniques.

AI Agentic Design Patterns with AutoGen

Use the AutoGen framework to build multi-agent systems for complex tasks.

AI Agents in LangGraph

Develop agentic AI workflows with LangChain’s LangGraph and Tavily.

Building Your Own Database Agent

Interact with tabular data and SQL databases using natural language.

Function-Calling and Data Extraction with LLMs

Use function-calling to expand capabilities for LLM and agent applications.

Carbon Aware Computing for GenAI Developers

Optimize machine learning models with clean energy sources.

Prompt Compression and Query Optimization

Enhance efficiency and cost-effectiveness in RAG applications.

Pretraining LLMs

Learn the essential steps to pretrain a large language model from scratch.

Federated Learning

Build and fine-tune LLMs across distributed data for better privacy.

Embedding Models: From Architecture to Implementation

Build embedding models and create effective semantic retrieval systems.

Improving Accuracy of LLM Applications

Enhance LLM accuracy with evaluation, prompting, and memory tuning.

Building AI Applications with Haystack

Explore the Haystack framework for building diverse AI applications.

Large Multimodal Model Prompting with Gemini

Learn best practices for multimodal prompting using the Gemini model.

AI Python for Beginners

Gain Python programming skills and create real-world AI applications.

Multimodal RAG: Chat with Videos

Build a system for querying video content using multimodal AI.

Retrieval Optimization: From Tokenization to Vector Quantization

Develop faster and more relevant vector searches for LLM applications.

Introducing Multimodal Llama 3.2

Explore Llama 3.2's features to build multimodal AI applications.

Serverless Agentic Workflows with Amazon Bedrock

Build responsible, scalable agent workflows with Amazon Bedrock.

Practical Multi AI Agents and Advanced Use Cases with crewAI

Develop agents that collaborate on complex business tasks for high efficiency.

Git

Learn and master Git, push and pull code into repos

Courses

Explore our diverse range of courses to expand your knowledge and skills.

Python for Data Analysis

Learn how to analyze data effectively using Python, focusing on practical skills for data manipulation and visualization.

Machine Learning

Gain a deep understanding of machine learning concepts, including supervised and unsupervised learning techniques.

Deep Learning

Explore advanced topics in deep learning, from neural networks to model optimization and deployment.

Natural Language Processing (NLP)

Master NLP techniques to analyze, understand, and generate human language effectively.

Computer Vision (CV)

Learn computer vision fundamentals, image processing, and applications in real-world scenarios.

Manual Testing

Learn the fundamentals of manual software testing, testing strategies, and best practices.

Selenium with Python

Master web automation and testing using Selenium with Python for efficient test automation.

React with Django and Postgres

Learn how to integrate React as a front-end with Django as the back-end for full-stack web applications.

English Vocabulary and Simplified Comprehensive Grammar

Build a strong foundation in English with extensive vocabulary and comprehensive grammar rules, simplified for easy understanding.