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Candidate Requirements: • Basic Oops • Data Structures • Advanced Math- Statistics, Algebra, • Excel for data manipulation and visualization • Database and SQL • Computer Science/Engineering Background Foundational Knowledge (Prerequisite): 2 weeks • Basic Python - Variables, Data Types, Loops, Conditional Statements, functions, classes, file handling, exception handling, etc. • Mathematics & Statistics: • Linear Algebra • Descriptive Statistics - Measure of central tendency (Mean, Median, Mode), Measure of dispersion (variance, standard deviation) • Inferential Statistics - Hypothesis testing, correlation, covariance, Z-test, t-test, ANOVA test, etc. • Probability - Central limit theorem, Probability distribution, bayes theorem etc. Data Analysis and Preparation (Exploratory Data Analysis): 1 week • Data Handling and Manipulation using Numpy, Pandas, Scipy. • Data Visualization using Matplotlib, Seaborn, Google Data Studio • Feature engineering like imputing null values, handling outliers, scaling data. Project: Data Analysis of any business use case with complete visualization and conclusion. E.g. Uber case analysis.Machine Learning: 2 weeks • Introduction to frameworks like Scikit-Learn. • Supervised Learning • Introduction to both Regression and Classification problems. • Train models using algorithms like Linear regression, logistic regression, Decision tree, random forest, SVC, KNN, etc. • Evaluating models using metrics like RMSE, MAE, MSE, R2, accuracy, precision, recall, confusion matrix, F1-score etc. • Unsupervised Learning • Introduction to Clustering and Dimensionality Reduction problems. • Learn unsupervised algorithms like K-Means, PCA, LDA, etc. • Performance metrics like Elbow method, Silhouette Coefficient Projects: • Regression - use cases like house price prediction, etc. • Classification - use cases like email spam or not, etc. • Unsupervised - use cases like anomaly detection, etc. Deep Learning: 1 week • Introduction to frameworks like Tensorflow, Keras for Deep Learning. • What are Neural Networks and how do they function as the core of deep learning? Django (Framework for API integrations): 1 week • Django Basics like creating projects, django views, mapping urls. • Django Models to perform CRUD operations. • Database operations Project: Creating REST API to perform all CRUD operations with MySQL Database.Generative AI: 2 week • Prompt Engineering • Data Privacy - Context, Domain • Best Practices- Token and Request optimization, Data Privacy considerations • Tools - ChatGPT, Vertex AI, Dall-E2, GitHub Copilot, etc. Project: Generate Job Description, Policy generation, etc.MLOps: 1 week • Model Deployment using Cloud based platforms like GCP, Azure, etc. • Testing Models and Data Pipelines • ML Pipelines and ML workflows. • Best Practices- cloud cost, Optimization of models • GCP/Azure creating and deploying models, configuring VMs /GPU, • Project : Install ML solution to GCP/Azure and update test data and rerun models Elective Skills: 1 week • Natural Language Processing: Dealing text data using NLTK, spacy framework. Introduction to algorithms like Lemmatization, stemming, NER, Word2Vec, etc. • Computer Vision: Dealing with image data using OpenCV, PIL. Capstone Project: 2 week • Implement all the module learning and knowledge in a project like career coach, chatbot system, etc. Outcome Certification: AZURE AI Fundamentals, Qualified for the roles of : ML Engineer, Data Engineer, Compensation: $70,000.00 - $100,000.00 per year About Us Triunity is a Product Development, Staff Augmentation, and Consulting Services company providing solutions and services in North America. We provide IT services and technology solutions to various business verticals like Healthcare, Pharma, Banking, Finance, etc. Our goal is to develop a long-term partnership with businesses and help them get a competitive advantage by providing IT infrastructure and software platforms. Lead by experts in the IT industry with a proven record of delivering software solutions, consulting, and staffing services, we have expertise in fulfilling client needs in terms of customized business solutions as well as IT consulting. At Triunity, we always try to bring the right mix of skills, technologies, and experts together which helps our clients to stay ahead in the competition. Our goal is to make our clients empower with cutting-edge technologies and take care of all their IT needs so they can focus more on their core business. Triunity Culture Our core value is our people and our teams . We believe the real mantra of success is like minded people with right mix of technical and analytical skills. Our strength lies in bringing right set of people and delivering work as a team. Be it expert or intern Triunity always always value its own people and give them platform to excel in their career. At Triunity you can expect • Challenging & Friendly • Work on new edge technologies & tools • Work with industry experts • Solving complex client problems and delivering solutions • Working on projects lasting from six months to several years Careers & Growth Model At Triunity people are motivated by the complexity and challenges they face when working on client projects . We always motivate our people to keep learning new technologies and also give them platform where they can get chance to show their technical and analytical skills . We help our people in adding latest technologies ,tools, methodologies and certifications to their resume by arranging trainings , seminars and knowledge sharing sessions.

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