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Program Description This intensive, hands-on trainee program is designed for learners who want to build strong technical and analytical skills to succeed in data-driven and technology-enabled careers. The program integrates real industry projects across Business Analytics, Cloud Computing, and AI & Machine Learning, enabling participants to learn by doing, develop professional portfolios, and demonstrate job-ready competencies. Each project simulates real business challenges and provides practical exposure to tools such as Python, SQL, Tableau, Power BI, TensorFlow, PyTorch, AWS, Docker, Kubernetes, Terraform, scikit-learn, and Transformers. Learners build end-to-end solutions—from exploratory data analysis to predictive modeling and scalable deployment—reflecting the workflow used in modern tech companies. Technical Outcomes • Perform data extraction, cleaning, visualization, and statistical analysis. • Design business dashboards to analyze KPIs and support executive decision-making. • Build and deploy machine learning models and evaluate their performance. • Design scalable cloud architectures and automate infrastructure using IaC tools. • Deploy containerized applications using Docker, Kubernetes & CI/CD pipelines. • Apply deep learning and NLP techniques to real-world problems. • Build APIs and integrate models into business applications. Professional Outcomes • Develop end-to-end project documentation and industry-level reports. • Present data insights and technical solutions to non-technical stakeholders. • Build a strong professional portfolio of real deployed applications. • Work in collaborative agile environments and participate in code reviews. Career Opportunities: The program prepares learners for high-demand technology and analytics roles, such as: Business & Analytics Roles AI & ML Roles Cloud & DevOps Roles Cross-functional & Future Growth Roles: Consultant, BI
You can also join this program via the mobile app. Go to the app