Course Overview
TOPGeared for technical professionals, our Introduction to AI & Machine Learning JumpStart course is a three-day, hands-on workshop style event designed to get you quickly up and running with latest skills, tools and tech in essential AI and ML, demystifying the field of artificial intelligence without drowning you in mathematics. Whether you're a budding developer or a tech enthusiast, we'll guide you through the foundations of AI and machine learning, and equip you with the knowledge, problem-solving skills and confidence needed to apply this innovative tech in real-world scenarios.
The course is rich with hands-on activities, challenge labs, knowledge checks, valuable discussions and focused projects that can be done individually or in groups. Working in a hands-on learning environment, guided by our engaging AI expert, you’ll explore AI and Machine Learning essentials, practical examples, tools and best practices. You’ll learn how to integrate AI and machine learning principles into real-world projects, enabling you to innovate in areas like product development, customer experience enhancement, and complex problem-solving. You’ll explore the differences and applications of supervised, unsupervised, and reinforcement learning, laying the groundwork for exploration and utilization in diverse contexts. You’ll learn how to employ AI and machine learning concepts for making informed, data-driven decisions that can have far-reaching impacts on various aspects of business and technology.
Throughout the course you’ll gain highly-valuable, expert guided experience using cutting-edge tools and algorithms through hands-on labs, ensuring that you can confidently apply these new skills and concepts in practical scenarios. You’ll leave the event well-versed and ready to apply key AI and Machine Learning concepts in your work. Whether you’ll be coding algorithms, classifying data, or optimizing machine learning models, you’ll have the essentials skills needed to tackle any AI-related project.
Scheduled Classes
TOPWhat You'll Learn
TOPWorking in a hands-on learnng environment led by our expert practitioner you’ll explore:
- Grasp AI & Machine Learning Basics: You'll start your journey by understanding what AI and Machine Learning are, distinguishing between them, and discovering how they're applied in various fields. You'll also get a good look at practical examples of Machine Learning.
- Decode Types of Machine Learning: You'll navigate through the different types of machine learning, including supervised, unsupervised, and reinforcement learning, and gain insight into their distinctive applications, and explore their practical application.
- Master Data Prep: You’ll learn and apply critical methods for cleaning and simplifying data
- Master Algorithms: You’ll explore popular machine learning algorithms, their applicability and limitations
- Get Hands-On: You'll learn how to code linear regression and logistic regression algorithms in Python, and gain hands-on experience applying them in real-world scenarios in a machine learning environment working with various machine learning packages and tools.
- Optimize Machine Learning Models: You'll dig into the art of model optimization, learning how to prevent underfitting and overfitting to ensure your machine learning models are accurate and reliable.
- Conquer Classification: You'll uncover the secrets of the perceptron algorithm and logistic classifiers, learning how to classify data effectively and carry out sentiment analysis like a pro.
- Responsible AI Development: You’ll gain insight into the ethical considerations and responsible practices in AI, ensuring that solutions are developed with a consciousness of privacy, bias, and societal implications.
- Venture into Generative AI: You'll step into the fascinating world of Generative AI and Generative Adversarial Networks (GANs), exploring their structure, functionality, and the concept of latent space in generative models. After the course, you'll understand how these advanced AI models can contribute to your projects.
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional AI, machine learning, data science, programming, Python/R and other related topics that may be blended with this course for a track that best suits your needs.
Outline
TOPPrerequisites
TOPWho Should Attend
TOPThis introductory-level hands-on course is suited for a wide variety of technical learners who need an introduction to the core skills, concepts, tech, tools and skills related to AI programming and machine learning.
Suitable attendees might include:
- Developers aspiring to be a 'Data Scientist' or Machine Learning engineers
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand data science techniques
- Information Architects who want to gain expertise in Machine Learning algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in Data Science and machine learning