Career tracks
Six tracks, one outcome — every category maps to roles our hiring partners are actively recruiting for.
Agentic AILearn to build intelligent AI agents using modern LLM technologies. This course covers prompt engineering, tool calling, RAG, agent workflows, APIs, and AI automation. You’ll work on practical projects to understand how AI agents can reason, interact with tools, and perform real-world tasks.2 courses
Data Analytics + Gen AILearn modern Data Analytics with the power of Generative AI. Build practical skills in Python, SQL, Excel, Power BI, data visualization, and AI-powered analysis. Learn to clean, analyze, visualize, and interpret data while using Gen AI to improve productivity and generate meaningful insights.1 course
Data Science Pro + FastAPIMaster the complete Data Science workflow, from data preparation and analysis to Machine Learning and deployment. Learn Python, Statistics, Machine Learning, and Data Visualization while using FastAPI to build and deploy APIs for your Machine Learning models and applications.1 course
Python ProgrammingBuild a strong foundation in Python programming through practical learning. Understand Python fundamentals, functions, modules, exception handling, file handling, Object-Oriented Programming, APIs, and databases. Develop your coding and problem-solving skills through hands-on exercises and real-world projects.1 course
SQL / MySQLLearn SQL and MySQL for database management, querying, and data analysis. Master queries, joins, subqueries, functions, grouping, views, indexes, and database relationships. Practice working with real-world datasets and develop the skills needed to manage and extract meaningful information from databases.1 course
Advanced Excel & VBAMaster Advanced Excel for professional data analysis, reporting, and automation. Learn advanced formulas, PivotTables, charts, dashboards, data cleaning, and analysis techniques. With VBA, you’ll also learn how to automate repetitive tasks and create efficient, customized Excel-based solutions.1 course
Power BILearn to transform raw data into interactive and meaningful business dashboards using Power BI. Develop skills in Power Query, data cleaning, data modeling, DAX, relationships, and visualization. Build practical dashboards that help present data clearly and support data-driven decision-making.1 course
Machine LearningLearn the fundamentals of Machine Learning and how to build predictive models using real-world data. Explore supervised and unsupervised learning, regression, classification, clustering, feature engineering, data preprocessing, and model evaluation while developing practical Machine Learning projects.1 course
Deep Learning & Neural NetworksExplore Deep Learning and Neural Networks to understand how modern AI systems learn from data. Learn neural network fundamentals, activation functions, backpropagation, CNNs, RNNs, and model optimization. Apply these concepts through practical projects involving image, text, and predictive applications.1 course
Natural Language ProcessingLearn how computers process, understand, and work with human language. Explore text preprocessing, tokenization, embeddings, sentiment analysis, text classification, and information extraction. You’ll also work with modern Transformer-based techniques and build practical NLP applications using Python.1 course
API DevelopmentLearn to design and develop APIs for modern web, AI, and software applications. Understand REST APIs, HTTP methods, requests, responses, authentication, validation, databases, and API documentation. Build practical APIs using Python and FastAPI and learn how to integrate and deploy them.1 course