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Foundations of Artificial Intelligence

Learning Format

Online mode

Total training duration

80-90 hrs (2 months)

Syllabus

8 weeks

Certification

Yes

Foundations of Artificial Intelligence

Foundations of Artificial Intelligence introduces the core principles and concepts that form the basis of AI systems. It covers topics such as problem-solving, knowledge representation, reasoning, and learning. Learners gain an understanding of how machines simulate human intelligence to perform tasks like decision-making, pattern recognition, and automation. This course provides a strong starting point for exploring advanced AI domains such as Machine Learning, Natural Language Processing, and Robotics.

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Syllabus Summary

Introduction to AI & Python Environment Setup

  • History and evolution of AI, Why Python for AI
  •  Installing Python (Anaconda, Jupyter, Colab)
  •  Python basics: syntax, indentation, input/output
  •  Variables, operators, data types
  • Hands-on: First Python program
  •  Assignment at end of week

Conditional statements (if, elif, else)

  • Loops (for, while) with AI examples
  •  Functions – built-in vs user-defined
  • Importing libraries & modular programming
  • Hands-on coding exercises
  •  Assignment at end of week

Python Data Structures 

  • lists, tuples, sets, dictionaries
  •  Indexing, slicing, nested structures
  •  Iterating over collections
  • Hands-on project: basic data management
  •  Assignment at end of week

File Handling (txt, csv, json)

  •  Error Handling (try, except, finally)
  •  Context managers and debugging basics
  •  Hands-on: CSV dataset read/write
  •  Assignment at end of week
  • Mock Interview 1

Introduction to AI concepts –

  • AI vs ML vs DL
  •  Types of AI – Narrow, General, Super
  •  Components of AI systems
  •  AI applications in industries
  •  Case study discussions
  • Assignment at end of week
  • AI Project Lifecycle 
  • CRISP-DM
  •  Data collection, cleaning, preprocessing
  •  Feature engineering overview
  • Model training & evaluation basics
  •  Mini-project setup
  •  Assignment at end of week
  • AI Ecosystem Tools  TensorFlow, PyTorch, Scikit-learn
  •  Intro to Cloud AI platforms – AWS, Azure, GCP
  •  GitHub basics for AI projects
  •  Hands-on: Kaggle dataset import
  •  Assignment at end of week
  • Mini Project – End-to-end AI problem solving
  •  Documentation & result presentation
  •  Responsible AI & ethics
  •  Mock Interview 2
  •  Final assignment submission

Course Summary

Eligibility

Tech & Non-Tech Working professional, Freshers, Graduate from any domain.

Live Doubt Solving

Get your queries solved with daily dedicated doubts solving sessions.

Instructor

Experts and trainer for top-tech companies.

Certification

10+ ISO Globally recognized certified

Mode of Learning

100% Live Learning with experienced instructors and hands-on sessions.

Real time projects

Get practical experience with real-world projects for a career in analytics.

Certification

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