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Introduction to Artificial Intelligence (AI) and Machine Learning (ML)

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psinghal
Last Update December 12, 2023
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About This Course

This introduction-level hands-on course explores the field of artificial intelligence (AI), programming, logic, search, machine learning (ML), and natural language understanding. You’ll learn current AI and ML methods, tools, techniques, and their application to computational problems.

In this course, we’ll cut through the math and you’ll learn exactly how machine learning algorithms work. We’ll focus on the algorithms used to create machine learning models. Using clear explanations, simple Python code (no libraries), and step-by-step labs, you’ll discover how to load and prepare data, evaluate your models, and implement a suite of linear and nonlinear algorithms along with assembling algorithms from scratch. You’ll also learn about algorithm applicability along with their limitations and practical use cases.

This course presents a wide variety of related technologies, concepts, and skills in a fast-paced, hands-on format. This provides you with a solid foundation for understanding and getting a jumpstart into working with artificial intelligence and machine learning.

Learning Objectives

Getting Started with Python and Jupyter
Statistics and Probability Refresher and Python Practice
Matplotlib and Advanced Probability Concepts
Algorithm Overview
Predictive Models
Applied Machine Learning
Recommender Systems
Dealing with Data in the Real World
Machine Learning on Big Data (with Apache Spark)
Testing and Experimental Design
GUIs and REST: Build a UI and REST API for your Models

Inclusions

  • Instructor-led training
  • Training Seminar Student Handbook
  • Collaboration with classmates (not currently available for self-paced course)
  • Real-world learning activities and scenarios
  • Exam scheduling support*
  • Enjoy job placement assistance for the first 12 months after course completion.
  • This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
  • Government and Private pricing available.*

Pre-requisites

  • Basic Python skills
  • A grounding in enterprise computing
  • Be familiar with enterprise IT
  • Have a general (high-level) understanding of systems architecture
  • Knowledge of business drivers that might be able to take advantage of applying AI
  • Good foundational mathematics in linear algebra and probability
  • Basic Linux skills
  • Familiarity with command line options such as ls, cd, cp, and su

Target Audience

  • Business Analysts, Data Analysts, Developers, Administrators, Architects, Managers, and others new to AI and ML who want to understand the core skills and how to put them into practice.

Curriculum

66 Lessons24h

1. Getting Started

Installing a Python Data Science Environment
Using and understanding iPython (Jupyter) Notebooks
Python basics: Part 1
Understanding Python code
Importing modules
Python basics: Part 2
Running Python scripts

2. Statistics and Probability Refresher and Python Practice

3. Matplotlib and Advanced Probability Concepts

4. Algorithm Overview

5. Predictive Models

6. Applied Machine Learning with Python

7. Recommender Systems

8. More Applied Machine Learning Techniques

9. Dealing with Data in the Real World

10. Apache Spark: Machine Learning on Big Data

11. Testing and Experimental Design

12. GUIs and REST

Your Instructors

psinghal

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$1,795.00

Level
Intermediate
Duration 24 hours
Lectures
66 lectures
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Inclusions

  • Instructor-led training
  • Training Seminar Student Handbook
  • Collaboration with classmates (not currently available for self-paced course)
  • Real-world learning activities and scenarios
  • Exam scheduling support*
  • Enjoy job placement assistance for the first 12 months after course completion.
  • This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
  • Government and Private pricing available.*
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