Data Science with Agentic AI Course

Data Science with Agentic AI Course in Vizag

Master the future of Artificial Intelligence with AIM UpSkill Technologies' Data Science with Agentic AI Course in Hyderabad. This industry-focused training program is designed to help students and professionals master Python, Data Science, Machine Learning, Generative AI, RAG Architecture, AI Agents, MCP, LoRA, and advanced LLM application development through hands-on training and real-world projects.

Whether you're a beginner starting with Python or a professional looking to transition into AI and Data Science, this course provides complete practical exposure to building intelligent AI systems, predictive models, and production-ready applications used by modern enterprises.

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◷ Beginner to Advanced
▣ Hands-On Real-Time Projects
▤ Placement-Focused Curriculum
♢ Mentorship from Industry Experts
Data Science with Agentic AI Course

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Data Science with Agentic AI - Course Overview
Course Overview

Data Science with Agentic AI Course Overview in Vizag

Our Data Science with Agentic AI Course is designed to take learners from Python programming fundamentals to advanced Data Science, Machine Learning, Generative AI, and Agentic AI application development. Students gain hands-on experience analyzing real-world datasets, building predictive models, developing Retrieval-Augmented Generation (RAG) applications, and creating autonomous AI agents using the latest tools and frameworks.

Agentic AI Course Overview

The curriculum combines strong Data Science foundations with cutting-edge AI technologies, ensuring learners graduate with practical skills that employers demand. By the end of the program, students will be able to collect, analyze, visualize, and interpret data, build machine learning models, develop intelligent AI applications, and deploy production-ready AI systems capable of solving real-world business challenges.

Our Training Program Includes

  • 100 Days Intensive AI & Data Science Training
  • Python Foundation to Advanced AI
  • Data Science & Machine Learning
  • Data Analysis & Visualization
  • Real-Time AI Projects
  • Agentic AI & Multi-Agent Systems
  • RAG Architecture & Vector Databases
  • Fine-Tuning & LoRA
  • Placement Support & Mock Interviews
  • Industry-Oriented Practical Sessions
Why Choose Codegnan - Data Science with Agentic AI
Why Codegnan?

Why Choose Codegnan’s Data Science with Agentic AI Course in Vizag

Get Trained by Industry Experts

Learn from experienced mentors who work on real-world AI and software development projects.

Beginner-Friendly Learning Path

The course starts with Python fundamentals and gradually moves into advanced AI systems and agent development.

Build Real-World Projects

Gain practical exposure by building voice assistants, RAG systems, AI agents, and multi-agent workflows.

Placement Assistance & Career Guidance

Receive dedicated support for resume building, mock interviews, and AI career preparation.

Industry-Focused Curriculum

Learn technologies and frameworks currently used in modern AI application development.

Learn Through Practical Implementation

Every module includes practical assignments, coding sessions, and project-based learning.

What You'll Learn - Learning Path
Learning Path

What You’ll Learn

A step-by-step roadmap designed to take you from fundamentals to job-ready expertise.

  • Python Basics
  • Data Structures
  • Functions & OOPs
  • File Handling & Libraries
  • Data Visualization
  • Statistics
  • SQL for Data Science
  • Machine Learning
  • NumPy
  • Pandas
  • Data Cleaning
  • Exploratory Data Analysis (EDA)
  • Feature Engineering
  • Model Evaluation
  • APIs & FastAPI
  • Streamlit Development
  • Introduction to Generative AI
  • LLMs & Transformer Architecture
  • Prompt Engineering
  • Context Window & Hallucination
  • RAG Architecture
  • LangChain Framework
  • Vector Databases (ChromaDB)
  • Metadata Filtering & Distance Metrics
  • Building AI Agents
  • Model Context Protocol (MCP)
  • Multi-Agent Design Patterns
  • Route Agents & Orchestration
  • Fine-Tuning with LoRA
  • AI Deployment Workflows
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