Become an AI Engineer

Learn the fundamentals of AI, dive into models like ChatGPT, and decode generative AI secrets to navigate the dynamic AI landscape.

• Understanding Artificial Intelligence
• Introduction to ChatGPT
• Understanding Machine Learning 
• Large Language Models (LLM’s) Concepts
• Generative AI Concepts 
• AI Ethics 

Python is a general-purpose programming language that is becoming increasingly popular for data science. Companies worldwide are using Python to extract insights from their data and gain a competitive advantage. Unlike other Python tutorials, this course is specifically designed for data science. In our Introduction to Python course, you will learn effective methods for storing and manipulating data, as well as useful data science tools to start conducting your own analyses.

Take your python skills to the next level, you’ll learn to visualise real data using Matplotlib and explore key data structures like dictionaries and pandas DataFrames. Discover how dictionaries provide an alternative to lists and why pandas DataFrames are essential for working with tabular data. You’ll learn to create, manipulate, and access datasets while gaining hands-on experience throughout the course. As you progress, you’ll delve into logic, control flow, filtering, and loops to enhance decision-making and automate operations in Python. Finally, you’ll apply your new skills to hacker statistics, calculating probabilities and testing your chances of winning a bet.

In this course you will become familiar with OpenAI and Llama3, which are two of the biggest AI systems. In your OpenAI module you’ll create embeddings from text datasets and begin developing real-world applications. In Llama3 you’ll learn techniques like adjusting prompts to get better responses, building conversations that remember context, and adapting outputs to fit your project’s needs – whether that means generating structured data or refining responses for clarity.

In this module you’ll be taught how to build and manage AI-powered apps. You’ll learn how to use OpenAI’s tools (like ChatGPT) to make AI do what you want. It covers writing better AI prompts, working with AI models from Hugging Face, and making sure AI runs smoothly with LLMOps. You’ll also learn how AI remembers things using embeddings and vector databases like Pinecone as well as learning to write better Python code to keep everything clean and efficient. By the end, you’ll know how to build, improve, and manage AI apps like a pro.

Python is one of the most widely used programming languages globally and key for Data Analyst. This course requires no prior coding experience; you’ll start from the basics and learn how to import, clean, manipulate, and visualise data—crucial skills for any aspiring data professional or researcher. Your training will include interactive exercises, giving you hands-on experience with popular Python libraries such as pandas, NumPy, and Seaborn. You’ll discover why Python is a top choice for data analysis and work with real-world datasets to enhance your data manipulation and exploratory data analysis abilities. As you progress, you’ll delve into topics like data manipulation, joining data, and key statistical skills such as hypothesis testing. 

39 hours
9 modules
5 projects 

Get foundational knowledge of core data concepts and how they are implemented using Microsoft Azure services. The exam covers topics such as relational and non-relational data, data processing, and analytics workloads. It also introduces Azure services like Azure SQL Database, Cosmos DB, Synapse Analytics, and Databricks.