Our courses cover Cloud Computing (AWS, Azure, GCP), Big Data, AI/ML, Data Engineering, Data Science, Data Analyst, Power BI, UI/UX Designing, Python, and SQL, providing comprehensive training on these in-demand topics
Leading NASSCOM-Certified AWS Training: Acquire In-Demand AWS Skills and Excel in Building Scalable, Fault-Tolerant Applications. Prepare for AWS Solutions Architect Certification
Unlock Azure Mastery: Top-rated courses for certification preparation, Azure service integration, machine learning execution, and achieving your Azure goals. Boost your expertise and success with Azure.
Equip research staff with the GCP course, ensuring proficiency in conducting clinical trials with human participants. Based on ICH GCP Principles and CFR, the course comprises 12 modules. Self-paced and completed in approximately six hours
Big Data Training
Big Data course offers a comprehensive understanding of the complex world of data management and analysis. This course is ideal for individuals seeking to enhance their skills in data analysis, data management, and data visualization. Participants will be introduced to various Big Data tools and technologies
AI/ML course offers a comprehensive foundation in AI and ML technologies. Participants learn algorithms like supervised and unsupervised learning, deep learning, natural language processing, and computer vision. Through hands-on exercises, they gain practical skills to develop and deploy AI/ML models, unlocking potential in diverse industries.
Data Engineering course offers a comprehensive understanding of data engineering principles, techniques, and tools. Participants learn to design, build, and maintain data pipelines, warehouses, and lakes. The course covers data ingestion, transformation, modeling, and quality assurance, along with hands-on experience using popular data engineering tools.
Data Science course offers a comprehensive introduction to key concepts, techniques, and tools in data analysis and modeling. Participants learn data preprocessing, exploratory analysis, statistical modeling, machine learning, and data visualization. The emphasis on practical application through hands-on exercises enables participants to extract insights, build predictive models, and effectively communicate findings
Data Analyst course provides a comprehensive understanding of the principles, methods, and tools used in data analysis. Participants will learn data cleaning and preprocessing techniques, exploratory data analysis, statistical analysis, data visualization, and data interpretation. The course also covers various data analysis tools and programming languages commonly used in the field.
Power BI course focuses on providing a comprehensive understanding of Microsoft Power BI, a powerful business intelligence and data visualization tool. Participants will learn how to connect to various data sources, transform and clean data, create interactive visualizations, and build dynamic reports and dashboards.