According to the TIOBE Index, Python currently stands as the most popular programming language. Its remarkable trajectory over the past three decades can be attributed to its inherent simplicity, an expansive ecosystem of libraries and packages, and its remarkable versatility across a diverse array of domains including data analytics, machine learning, artificial intelligence, cybersecurity, IoT, robotics, and automated task execution.
Embark on a two-day journey to learn a new programming language with far-reaching applicability. As the language of choice for data science, advanced research, and the expanding field of AI, Python will propel you into the heart of machine learning and artificial intelligence.
Join Microsoft Azure MVP, Eric D. Boyd, for an immersive hands-on lab, a two-day expedition into the world of Python, AI, and ML. You don’t need to have any prior knowledge of AI to attend. We'll begin with the bedrock principles of Python. And on day two, we will explore the foundations of artificial intelligence and machine learning through many types of problems, scenarios, and algorithms.
Day 2 – Introduction to Artificial Intelligence using Python
To attend Day 2 of this lab you must have either attended Day 1 of this workshop or have a strong working knowledge of Python with a functional Python development environment. There will not be any time spent on day 2 teaching Python fundamentals or setting up Python development environments.
Artificial intelligence is a machine’s ability to perform the cognitive functions we usually associate with human minds. And there are many challenging problems that we face as developers of technology solutions that can be simplified using techniques and algorithms from the field of artificial intelligence.
On Day 2, you will immediately get to employ your newfound knowledge of Python to craft innovative solutions across the pivotal domains of artificial intelligence and machine learning. Together, we will delve into the foundations of artificial intelligence spanning the topics of search algorithms, knowledge representation, uncertainty modeling, optimization strategies, machine learning, neural networks, and natural language processing. This dynamic learning experience will be underpinned by the utilization of established libraries such as Scikit-learn, TensorFlow, NLTK, and more.
We will also explore other platforms like Azure Machine Learning to create and deploy machine learning models and solutions how you can use your Python knowledge and skills with Azure Machine Learning.
And our journey won’t conclude there. You’ll get to embark on a journey through the emerging world of generative AI, large language models, and prompt engineering. We will explore the OpenAI models, using LLMs with your private data, and how to navigate the world of prompt engineering using tools like LangChain, opening doors to novel applications and possibilities in language-driven AI systems.
Unlock the potential of Python and AI over the course of two-days in a hands-on environment where theory evolves into tangible skills, and where your career potential gains an invaluable edge.
Attendee Requirements: