Artificial Intelligence & ML · PPL

Artificial Intelligence Foundation Certification

Build a strong foundation in Artificial Intelligence by learning AI concepts, machine learning basics, Generative AI, and real-world business applications.

  • 2 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹2,999.00 Per delegate

This course is accredited by PPL

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— The journey

Course Outline

What the programme covers, module by module.

Module 1: Introduction to Artificial Intelligence

  • Artificial Intelligence fundamentals
  • History of AI
  • AI terminology
  • AI lifecycle
  • Real-world applications

Module 2: AI Fundamentals

  • Types of AI
  • Narrow AI and General AI
  • AI capabilities
  • AI limitations
  • AI adoption trends

Module 3: Machine Learning Basics

  • Machine Learning overview
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Model lifecycle

Module 4: Data Fundamentals

  • Data types
  • Data collection
  • Data preparation
  • Data quality
  • Data-driven decision-making

Module 5: Deep Learning Concepts

  • Neural networks
  • Deep learning overview
  • Computer vision concepts
  • Natural Language Processing (NLP)
  • AI model training

Module 6: Generative AI

  • Generative AI fundamentals
  • Large Language Models (LLMs)
  • AI assistants
  • Content generation
  • Business applications

Module 7: AI Tools and Platforms

  • AI development platforms
  • Cloud AI services
  • AI productivity tools
  • AI-powered applications
  • AI workflows

Module 8: AI in Business

  • AI use cases
  • Business automation
  • Customer experience
  • Marketing applications
  • Decision support

Module 9: Responsible AI

  • AI ethics
  • Fairness
  • Bias awareness
  • Transparency
  • Responsible AI practices

Module 10: AI Security and Privacy

  • AI security fundamentals
  • Data privacy
  • Secure AI usage
  • Risk awareness
  • Data protection

Module 11: AI Project Lifecycle

  • Problem definition
  • Data collection
  • Model development overview
  • Deployment concepts
  • Performance monitoring

Module 12: AI Productivity

  • AI for workplace productivity
  • AI-assisted research
  • Content creation
  • Workflow automation
  • Collaboration tools

Module 13: Future of Artificial Intelligence

  • Emerging AI technologies
  • Industry trends
  • AI innovation
  • Career opportunities
  • Future applications

Module 14: AI Best Practices

  • AI implementation strategies
  • Human-AI collaboration
  • Continuous learning
  • AI governance overview
  • Practical AI adoption
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand the fundamentals of Artificial Intelligence and its core technologies

02

Learn the basics of machine learning, deep learning, and Generative AI

03

Identify practical AI applications across different industries

04

Understand how data supports AI-powered solutions

05

Explore AI tools and cloud-based AI platforms

06

Apply responsible AI principles, ethics, and privacy best practices

07

Recognize opportunities to improve productivity using AI

08

Build a strong foundation for further learning in Artificial Intelligence

— Questions answered

Frequently Asked Questions

Who should attend this course?
This course is ideal for beginners, business professionals, students, software developers, data analysts, and anyone interested in learning Artificial Intelligence fundamentals.
Do I need programming experience?
No. This course is designed for beginners and focuses on understanding AI concepts, technologies, and business applications without requiring programming experience.
Will the course include practical exercises?
Yes. Participants will explore AI tools, Generative AI applications, business use cases, and hands-on activities to understand how AI is applied in real-world scenarios.
Which AI technologies are covered?
The course introduces Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI, Large Language Models (LLMs), and AI-powered productivity tools.
What skills will I gain after completing this course?
You will understand AI fundamentals, identify business applications, work with AI tools, understand responsible AI practices, and build a strong foundation for advanced AI learning.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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