Data Science Courses

Course Title: Developing Solutions with Agentic AI # Course Outline # Module 1: Introduction to Agentic AI # 1.1 Understanding Agentic AI Definition and key concepts. Difference between agentic and …

GenAI for Cybersecurity # Course Overview: Here’s a simplified and enriched version of your course outline for “Generative AI for Cybersecurity”, written in clear, easy-to-understand language while …

AI for Prospective Email Writing # Course Objective # Equip participants with the skills to draft accurate, culturally aware, gender-inclusive, multilingual, and bias-free prospecting emails by …

Program Outline: AI Powered Account Management Strategies # Duration: # 2 Days Course Audience: # Directors, Service Delivery Managers, Client Success Managers, Sales/Account Managers Target Unit: # …

Program Outline: AI Powered Client and Stakeholder Engagement # Duration: # 2 Days Course Audience: # Service Delivery Managers, Product Managers, Scrum Masters, NBU Leads/Managers

Program Outline: Developing GenAI Solutions with RAG # Duration: # 4 Days Course Audience: # Technical Leads, Technical Architects, Service Delivery Managers Target Unit: # Delivery CoE, Product, …

Program Outline: Generative AI for Sales & Marketing Team # Duration: # 4 Days Course Audience: # Sales & Marketing Leads/Managers Target Unit: # Sales and Marketing

Program Outline: AI-Powered DevOps (AIOps) # Duration: # 5 Days Course Audience: # DevOps Leads, Support Leads, Support Managers Target Unit: # Delivery CoE, Product, Internal Applications

Program Outline: AI Assisted Programming # Duration: # 4 Days Course Audience: # Technical Leads, Technical Architects, Service Delivery Managers Target Unit: # Delivery CoE, Product, Internal …

Program Outline: Generative AI for All # Duration: # 2 Days Course Audience: # QA Leads, Support Leads, Technical Leads, Service Delivery Managers, NBU Leads/Managers Target Unit : # Delivery CoE …

Building and Deploying Generative AI with Amazon Bedrock # Course Objective # This hands-on Amazon Bedrock workshop is designed to equip participants with in-depth knowledge and practical skills to …

Train Tensorflow Lite Models for Android # Course Overview: # We’ll begin by exploring the basics of Machine Learning and its various types, and then dive into the world of deep learning and …

Design for Cloud Computing with GCP # Duration: 4 weeks : - 20 Days Pre-requisites: # • Basic Understanding of Cloud Computing • Fundamentals of IT and Networking • Knowledge on Application …

Please contant me via hari@dasarpai.com or whatsapp +91 9 5 3 5 9 9 9 3 3 6

Please contant me via hari@dasarpai.com or whatsapp +91 9 5 3 5 9 9 9 3 3 6

Please contant me via hari@dasarpai.com or whatsapp +91 9 5 3 5 9 9 9 3 3 6

Relational Database Management Systems (RDBMS) # A brief summary of the topics covered in this course is as below. This is 60 hours course, it is suggested to complete this course in 1 month. An …

Big Data Analytics # Big Data Systems # What is Big Data Data Warehouse, Data Lakes Hadoop – Components Storage – HDFS, Hbase Resource Manager (MapReduce, YARN) Types of data formats (JSON, ORC, …

Tableau Course # A brief summary of the topics covered in this Tableau course is as below. This is 16 hours course, it is suggested to complete this course in 1 week. Basic Visualization using …

Microsoft Power BI Course # A brief summary of the topics covered in this Power BI course is as below. This is 16 hours course, it is suggested to complete this course within 1 week. Introduction and …

Reinforcement Learning # Classical Reinforcement Learning # Markov Decision Process # Introduction What is Reinforcement Learning? Agent-Environment Interaction State Vectors Objective of RL Agent …

Explainable AI - XAI # Please contant me via hari@dasarpai.com or whatsapp +91 9 5 3 5 9 9 9 3 3 6 #

Microsoft Excel # Introduction to Excel # Basic # Microsoft Excel Fundamentals Introduction to Interface Discovering Shortcuts Entering and Editing Text and Formulas Excel Data Validation Excel List …

Data Engineering # Exploratory Data Analysis (EDA) # Data sourcing – public and private data Data cleaning – handling missing values, handling invalid data, filtering data, standardization, etc. …

Python for Data Science # A brief summary of the topics covered in this course is as below. This is 30 hours course, it is suggested to complete this course in 3 weeks. After the completion of this …

Pandas for Data Science # A brief summary of the topics covered in this course is as below. This is 30 hours course, it is suggested to complete this course in 3 weeks. If you already know python …

Statistics for Data Science # A brief summary of the topics covered in this course is as below. This is 25 hours course, it is suggested to complete this course in 3 weeks. Introduction of Statistics …

Mathematical for Data Scientist # To excel in the field of data science, especially as a data scientist, I would recommend you have good command over the topics mentioned below. There are many …

Deep Learning – Computer Vision # Foundation of Computer Vision # Common Architectural Principles of Deep Networks Building Blocks of Deep Networks Convolutional Neural Networks (CNNs) Recurrent …

Natural Language Processing (NLP) # Foundation of Natural Language Processing # Overview computational linguistic. History of NLP Why NLP Use of NLP Language modelling with N-gram Spelling correction …

Machine Learning for Timeseries # A brief summary of the topics covered in this course is as below. This is 24 hours course, it is suggested to complete this course in 3 weeks. Apart from my …

Machine Learning Courses # A brief summary of the topics covered in this course is as below. This is 150 hours course, it is suggested to complete this course in 2 Months. Apart from my classroom …