AI Primer Course for Beginners

Kickstart Your AI Learning Journey without Coding

No

Coding or AI Experience Required

4 Weeks Self-Paced
(4 hours/week)

4+

Hands-On Practices

Certificate

of Completion

-50% $49

Actual Price: $100

Course

Overview

Welcome to the Emly Labs AI Primer for beginners, your gateway to understanding and leveraging artificial intelligence (AI) without the need for coding expertise. Our course is designed for industry leaders, practitioners, job seekers, and students who want to gain practical AI knowledge and skills.
At Emly Labs, we believe that AI should be accessible to everyone, regardless of their technical background. Our AI Primer is a carefully crafted curriculum that breaks down complex AI concepts into easy-to-understand practices. The participants will engage in hands-on learning experiences that emphasize practical applications over traditional theoretical learning. This approach ensures that learners not only grasp the fundamental concepts of AI but also learn how to apply these concepts to solve real business problems.

Who Should

Attend

This course is perfect for anyone eager to unlock the transformative potential of AI and make a meaningful impact in their field. Whether you’re looking to learn, innovate, advance, or start anew, this course provides the tools and knowledge you need to succeed.

Business Leaders aspiring to lead AI initiatives and build the organization's AI capabilities
Working Professionals aiming to improve decision-making with AI.
Job Seekers looking to gain valuable AI skills to enhance their job prospects.
Students preparing for the future with early knowledge of AI

Learning

Outcomes

Develop a core knowledge of AI concepts, including various AI techniques such as generative, predictive, and discriminative.
Gain hands-on experience in building Predictive and Discriminative AI models and in process understand the complete AI project lifecycle.
Understand the principles and applications of Generative AI, including prompt engineering, to effectively interact with generative AI systems.
Learn to preprocess data for AI tasks, emphasizing the importance of feature engineering.
Gain experience in training and evaluating AI models using a no-code platform, learning to interpret performance metrics for different model types.

Course

Curriculum

Duration: 4 weeks
Self-Paced (4 hours per week)

A Certificate of Completion will be awarded upon successfully completing the challenge module.

Week 1 : Introduction to AI

Practice Module 1: Introduction to AI

Objective: Develop a foundational knowledge of AI concepts, focusing on classification models.

Understanding AI Through Everyday Thinking
Introduction to Predictive AI and Generative AI
Learn Key Concepts of Predictive AI
Build first AI model – Classification
Evaluate and test your Classification model.
Practice 1

Practice Module 2: Introduction to Generative AI

Objective:

Understand the Essentials of Generative AI
Practice Powerful Prompts for Maximum Impact
Apply Generative AI to Real-World Applications

Practice Problem: Design a Financial Advisor

Week 2 : Introduction to Generative AI

Practice Module 3

Objective: Learn key concepts and applications of Generative AI to boost productivity and creativity in both professional and personal aspects of your life.

Understand the Essentials of Generative AI
Practice Powerful Prompts for Maximum Impact
Apply Generative AI to Real-World Applications
Practice 2

Week 3 : Introduction to AI-Driven Predictions

Practice Module 3

Objective: Learn the basics concepts and applications of AI-driven predictive models

Understand fundamentals of Predictive AI Modelling and its Applications
Build your first Regression Model
Evaluate and test your Regression model.
Practice 3

Week 4: Data Exploration Basics

Practice Module 4

Objective: Gain foundational understanding of data exploration techniques, enabling learners to extract insights and prepare data for further AI applications.

Understand different types of data and learn to identify data for a specific problem.
Extract Basic Insights from Data
Apply Basic Data Preparation Techniques
Apply simple clustering algorithm on customer data
Practice 4
Final Assignment, Preparing dats and building an AI model(4 hours)

Certification

A simple challenge that will test the skills acquired in previous practice modules. You will be provided with a problem statement and data, where you may need to use predictive, generative, or both techniques to solve it. Successfully achieving the objectives and submitting a report will earn you a certificate recognizing your accomplishment.