Credentials and Learning
A collection of credential documents across AI/ML engineering, data science, cloud architecture, government accreditations, and industry internships.
Course completions, internship documents and professional programs are listed separately. Issuer verification is linked only where a credential-specific URL is available.
Foundational ML mastery covering linear/logistic regression, cost function minimization, gradient descent optimization, and regularization under Professor Andrew Ng.
Enterprise generative AI workflows, model parameter tuning, prompt engineering, and multimodal foundation model deployment on Google Cloud Platform.
Cloud-native ML principles, data preparation, SageMaker pipeline orchestration, and end-to-end model training lifecycles on AWS.
Technical deep-dive into AWS ML stack, SageMaker algorithms, natural language processing, and computer vision API integrations.
Applied generative AI models to complex enterprise datasets, generating executive dashboards, automated query reasoning, and business strategy insights.
Applied AI engineering, LLM pipeline orchestration, multimodal model integration, and building production-ready generative AI solutions.
Hands-on machine learning workflow engineering, predictive modeling, feature engineering, and neural network experimentation.
Formal Letter of Recommendation recognizing outstanding technical performance, innovative AI problem solving, and professional work ethic.
Comprehensive exploratory data analysis, statistical model building, ML benchmarking, and data visualization pipelines.
Business analytics, customer retention analysis, relational SQL query design, and interactive KPI executive dashboards.
Python backend engineering, script automation, data manipulation pipelines, and modular object-oriented software architecture.
Comprehensive inplant training in web engineering, client-server communication, database design, and software lifecycle.
Intensive technical workshop covering responsive interface design, API integration, and front-end engineering.
Web application project completion document.
Hands-on software development training across software testing, logic optimization, and deployment.
Recognition of outstanding participation and technical problem solving during technology training programs.
Real-world consulting scenario analyzing customer demographics, segmentation, data cleaning, and executive presentation storytelling.
Executive chart design, storytelling with data, KPI mapping, and creating actionable decision-making visual dashboards.
Consulting methodology, enterprise analytical workflows, and structured technical problem formulation.
Advanced relational data modeling, query optimization, KPI telemetry, and predictive customer modeling.
Data science foundational principles, statistical hypothesis testing, data visualization, and applied ML algorithms.
Comprehensive end-to-end curriculum covering Pandas, NumPy, Scikit-learn, statistical modeling, feature engineering, and model evaluation.
Cloud computing fundamentals, OCI core compute architectures, Virtual Cloud Networks (VCN), IAM security policies, and Autonomous Database storage.
Scalable data lake architecture, AWS Glue ETL orchestration, Amazon Athena, Amazon Redshift, and secure data streaming with Kinesis.
Architecting resilient, highly available cloud systems, S3 storage tiers, VPC networking, and security governance on AWS.
Government and industry-accredited 30-hour comprehensive program covering cloud computing, big data, cybersecurity, and digital ecosystems.
Scalable cloud deployment architectures, containerization fundamentals, serverless computing, and enterprise security.
Core technical infrastructure operations, distributed systems concepts, and operational telemetry monitoring.
In-depth Python programming: OOP architecture, decorators, generators, asynchronous execution, web APIs, unit testing, and automation scripts.
High-performance Python computing: NumPy vectorized math, Pandas dataframes, file IO automation, and API integration architectures.
Recognized for exemplary innovation, collaborative problem solving, and technological contributions by IIT Guwahati industry partner initiatives.
AI-assisted technical architecture design, system documentation drafting, prompt workflows, and structured engineering communication.
Securities market mechanics, quantitative financial risk models, algorithmic market structures, and compliance frameworks.
Technical engineering accolade recognizing excellence in engineering logic, innovation, and active technical participation.
Government-accredited advanced skill certification in emerging AI technologies, machine learning algorithms, and real-world data analytics pipelines.
Specialized technical training certification in modern computational software, algorithmic logic, and industry application engineering.