Overview

This course takes you from foundational knowledge to practical application in data science, preparing you for real-world roles and future specialization in AI. You will build skills across mathematics, statistics, Python, data analytics, SQL, and modern AI workflows, while also strengthening professional competencies such as project planning, personal branding, networking, and professional English. The course culminates in a capstone project where you design and prototype a functional agentic AI product.

By

argenticare

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Introduction to Data Science and AI

Category:

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1

Enrollments

Level

Intermediate

Time to Complete:

120 hours 0 minute

Lessons:

42

Certificate:

Yes

Free

Overview

This course takes you from foundational knowledge to practical application in data science, preparing you for real-world roles and future specialization in AI. You will build skills across mathematics, statistics, Python, data analytics, SQL, and modern AI workflows, while also strengthening professional competencies such as project planning, personal branding, networking, and professional English. The course culminates in a capstone project where you design and prototype a functional agentic AI product.

What You’ll Learn?

Design and implement end-to-end data science workflows using Python, SQL, and structured data
Apply core concepts from statistics, probability, linear algebra, and calculus in data science contexts
Work confidently with relational databases, SQL queries, and knowledge graph fundamentals
Understand and apply machine learning theory, algorithms, and pretrained models
Build agentic AI systems using embeddings, prompt engineering, LLM APIs, RAG, and LangGraph
Plan, structure, and manage technical projects using standard project management practices
Develop professional skills for job search, networking, communication, and portfolio building
Deliver a complete Agentic AI product through a real-world capstone project

Requirements

Basic familiarity with programming concepts is recommended
A computer with internet access and permission to install software
Willingness to work independently and explore external resources
No prior experience in machine learning or AI is required

Instructor(s)

Syllabus Overview

42

Lessons

0

Quizzes

1

Tasks

0

Resources

Learning Strategies for Continuous Growth

Job Search, Networking, and Professional Visibility

Professional English for Real-World Scenarios

Project Planning and Management Fundamentals

Innovation and Product Development Foundations

Local Environments and Essential Technical Tools

Mathematical Foundations for Data Science

Intermediate Python Programming

Data Analytics with SQL and Structured Data

Machine Learning Fundamentals

Agentic AI and Large Language Models

Capstone Project: Agentic AI Product

Material Includes

Curated video lessons and guided learning activities
Hands-on exercises and practical implementation tasks
External notebooks, tutorials, and technical documentation references
Capstone project guidelines and evaluation criteria
Portfolio-ready project structure and deliverables

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