Project-based learning
Build real work you can show in interviews.
Course details
Artificial Intelligence (AI)
Build intelligent systems that reason, learn, and make decisions.
Taught by Chandra Hasa Gunisetty · QA Lead, Syncpedia
CertificateIncluded on completion
Lifetime access
Revisit lessons anytime after you enroll.
Mentor support
Learn with guidance from industry experts.
Career-ready skills
Practical modules aligned to real roles.
Overview
What this course covers
This course takes you from the fundamentals of artificial intelligence to building your own intelligent agents. You will explore search, knowledge representation, neural networks, and modern generative AI while working on hands-on projects that mirror real industry problems.
Outcome
Finish with practical skills and a portfolio-ready project in Artificial Intelligence (AI) you can use for jobs, freelancing, or your next role.
Skills
What you'll learn
Core AI concepts and problem-solving techniques
Search, planning, and knowledge representation
Neural networks and deep learning basics
Natural language processing fundamentals
Generative AI and large language models
Deploying an AI project end to end
Audience
Who this course is for
Beginners
Starting Artificial Intelligence (AI) from scratch and want a clear path.
Students & grads
Building a portfolio and interview-ready skills.
Working pros
Upskilling into ai roles with practical projects.
Before you start
Prerequisites
- Basic computer and internet skills
- Curiosity and consistency to practise weekly
- Open to learners of every background
Syllabus
Curriculum overview
8 modules · project-based lessons · certificate on completion
01Module 1: Introduction to Artificial Intelligence
Hands-on lessons, examples, and a guided exercise covering introduction to artificial intelligence.
02Module 2: Search & Problem Solving
Hands-on lessons, examples, and a guided exercise covering search & problem solving.
03Module 3: Knowledge Representation & Reasoning
Hands-on lessons, examples, and a guided exercise covering knowledge representation & reasoning.
04Module 4: Machine Learning Foundations
Hands-on lessons, examples, and a guided exercise covering machine learning foundations.
05Module 5: Neural Networks & Deep Learning
Hands-on lessons, examples, and a guided exercise covering neural networks & deep learning.
06Module 6: Natural Language Processing
Hands-on lessons, examples, and a guided exercise covering natural language processing.
07Module 7: Generative AI & LLMs
Hands-on lessons, examples, and a guided exercise covering generative ai & llms.
08Module 8: Capstone AI Project
Hands-on lessons, examples, and a guided exercise covering capstone ai project.
After the course
You'll walk away ready
By completing this course, you will have the practical skills and a portfolio project in Artificial Intelligence (AI) to confidently move forward in your career.
- Job-ready ai fundamentals
- A completed capstone you can showcase
- Certificate of completion from Syncpedia
Faculty
Learn with our mentors
Guides practical QA workflows, automation foundations, and career-ready project reviews.
Mentors end-to-end builds, clean code habits, and shipping full-stack projects with confidence.
Supports career direction, interview readiness, and growth plans for every learner.
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