Courses
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Developing AI Agents and Agent Pipelines
2 days
introductory
Learn to harness the power of large language models to build intelligent AI agents. This hands-on course covers key concepts and tools including transformers, prompting techniques, LangChain, and agent pipelines. Gain practical skills to develop AI agents that can understand complex queries, reason, and interact with their environment to deliver valuable insights.
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LangChain Fundamentals
0.5 days
introductory
Step into the dynamic world of LangChain and discover the potential of language model-powered applications. This course, designed for all expertise levels, guides you through the intricate labyrinth of LangChain components, unlocking the secret to building powerful, personalized applications. Be it a chatbot, an AI trading bot or a personalized hiking trip planner - the sky's the limit! Your adventure into the realm of cutting-edge application development with LangChain begins here.
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AI Development with Large Language Models: From Prompts to Production
1 day
introductory
Master the art and science of working with Large Language Models. This comprehensive course covers everything from prompt engineering fundamentals to advanced implementation patterns using the OpenAI API and Hugging Face. Through hands-on exercises, learn to build practical AI applications with Python and implement Retrieval-Augmented Generation (RAG).
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Mastering AI for Business: Strategic Implementation for Leaders
2 days
introductory
Transform your organization with this powerful two-day program designed specifically for business leaders. Learn to identify AI opportunities, develop implementation strategies, navigate ethical considerations, and create an actionable 90-day implementation plan. No technical background required—just a vision for leveraging AI to drive business value.
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Introduction to AI for Sales and Marketing: Practical Applications
2 days
introductory
This course equips sales and marketing professionals with practical AI knowledge and implementation strategies. Learn to integrate artificial intelligence into your customer engagement, campaign optimization, and sales workflows. Gain hands-on experience with AI tools for lead scoring, content generation, and campaign analytics while addressing ethical considerations and ROI measurement.
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Python for Data Scientists: From Fundamentals to Advanced Analysis
4 days
introductory
Master Python for data science with this comprehensive course that takes you from Python basics to advanced data analysis techniques. Perfect for analysts, researchers, and professionals looking to harness Python's powerful data science ecosystem. Learn to manipulate data efficiently, create insightful visualisations, and implement statistical analysis using industry-standard libraries.
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Data Visualization with Python: From Basic Charts to Interactive Dashboards
3 days
intermediate
Master the art of data visualization with Python. Learn how to create compelling, interactive visualizations that effectively communicate insights to stakeholders. From basic charts to interactive dashboards, this course covers the full spectrum of visualization techniques using industry-standard libraries like Matplotlib, Seaborn, and Plotly. Perfect for data analysts and scientists who want to enhance their data storytelling capabilities.
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SQL for Business Analysts
3 days
introductory
Master SQL for business analysis with this comprehensive course. Learn how to efficiently query, analyze, and transform data using SQL to drive business decisions. Develop practical skills for working with relational databases, performing complex data analysis, and creating insightful reports. Perfect for business analysts, data analysts, and professionals looking to leverage SQL for data-driven decision making.
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AI/ML for Data Scientists: Modern Approaches and Deployment
3 days
intermediate
Master cutting-edge AI/ML techniques tailored specifically for data scientists. This comprehensive course bridges the gap between theoretical knowledge and practical implementation, covering everything from deep learning fundamentals to multimodal AI architectures and responsible deployment practices. Through extensive hands-on exercises, you'll gain the skills to implement, fine-tune, and deploy sophisticated AI systems that deliver real business value.
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Introduction to Machine Learning: Foundations to Implementation
3 days
introductory
Master the fundamentals of machine learning in this comprehensive three-day course. From mathematical foundations to real-world implementation, you'll learn how to build, evaluate, and deploy ML models that solve business problems. This course balances theory with extensive hands-on practice, leaving you equipped to implement production-grade machine learning systems.
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Machine Learning for Image Processing: From Fundamentals to Implementation
3 days
introductory
Develop in-demand skills in machine learning for image processing applications. This comprehensive course covers essential concepts, deep learning frameworks, and practical implementations of neural networks for image analysis. Learn to build, train and deploy solutions for image classification, object detection, and segmentation while gaining hands-on experience with industry-standard tools like Keras and TensorFlow.
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Unsupervised Learning: Discovering Patterns in Unlabeled Data
3 days
introductory
Master unsupervised learning with Python. Learn how to discover patterns, clusters, and anomalies in unlabeled data using industry-standard libraries. From basic clustering to advanced dimensionality reduction, this course covers essential concepts and practical implementation. Perfect for data scientists and analysts who want to uncover hidden insights in their data.
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Supervised Learning: From Fundamentals to Advanced Models
3 days
introductory
Master supervised learning with Python. Learn how to build, evaluate, and deploy supervised learning models using industry-standard libraries. From basic classification and regression to advanced deep learning, this course covers essential concepts and practical implementation. Perfect for data scientists and analysts who want to develop robust predictive models.