Artificial Intelligence Fundamentals

  • High Demand In The It Industry: Ai is in demand because companies use it for automation, decision-making, customer support, data analysis, and smart applications.
  • Useful In Multiple Career Fields: Ai is used in healthcare, finance, education, e-commerce, cybersecurity, marketing, and software development.
  • Build Smart Real-world Applications: Learners can create projects like chatbots, recommendation systems, voice assistants, ai planners, and automation-based solutions.
1 Month ₹9,999 ₹7,999
Enroll Now

Join 960+ students who have already benefited from this course.

Artificial Intelligence Fundamentals
Limited Seats Available

Upgrade Your Skills
With Industry Ready Courses

Enroll Now

Fast onboarding • Secure • AI-powered experience
Enrollment submitted successfully.

Enrollment Successful 🎉


Course Overview

Artificial Intelligence is a modern technology that enables machines to think, learn, analyze data, understand language, and make intelligent decisions. This 1 month course helps learners build a strong foundation in AI concepts, Python basics, machine learning fundamentals, NLP basics, computer vision basics, generative AI, prompt engineering, and beginner-level AI project development.

Course with Live Project

No Refund Available

Ai Fundamentals And Smart Systems: Learners Understand Ai Concepts, Intelligent Systems, Automation, Ai Workflow, And Real-world Ai Applications.

Machine Learning And Generative Ai Basics: Work With Basic Ml Concepts, Data Handling, Chatgpt, Prompt Engineering, Ai Assistants, And Simple Prediction-based Systems.

Beginner-level Ai Project Development: Develop Practical Projects Like Ai Chatbots, Smart Study Planners, Career Recommendation Assistants, And Basic Ai Automation Tools.

Course Content

  • • Understanding artificial intelligence concepts
  • • Exploring history and evolution of ai
  • • Learning different types of ai
  • • Exploring real-life ai applications
  • • Understanding ai across industries
  • • Comparing ai, ml, and deep learning
  • • Understanding ai workflow process

  • • Learning python programming basics
  • • Understanding variables and data types
  • • Working with conditional statements
  • • Using loops in python programs
  • • Creating functions and modules
  • • Managing data with collections
  • • Understanding file handling basics
  • • Exploring python libraries for ai

  • • Understanding data types in ai
  • • Learning statistics for artificial intelligence
  • • Understanding mean, median, and mode
  • • Learning probability concepts basics
  • • Understanding correlation between variables
  • • Creating basic data visualizations
  • • Learning matrix and vector concepts
  • • Understanding linear algebra for ai

  • • Understanding machine learning basics
  • • Learning different machine learning types
  • • Understanding model training process
  • • Working with features and labels
  • • Learning regression and classification
  • • Measuring model accuracy performance
  • • Introduction to scikit-learn library

  • • Understanding deep learning fundamentals
  • • Learning artificial neural networks
  • • Understanding perceptron working concepts
  • • Exploring different activation functions
  • • Understanding hidden and output layers
  • • Exploring real-world deep learning applications

  • • Understanding natural language processing
  • • Learning basic text processing techniques
  • • Understanding text tokenization process
  • • Removing stop words from text
  • • Learning text classification basics
  • • Exploring chatbots and language models
  • • Understanding sentiment analysis concepts

  • • Understanding computer vision concepts
  • • Learning basic image processing techniques
  • • Understanding face detection concepts
  • • Exploring object detection methods
  • • Understanding ai in healthcare imaging
  • • Introduction to opencv library

  • • Understanding generative artificial intelligence
  • • Learning large language model basics
  • • Exploring chatgpt and ai assistants
  • • Understanding prompt engineering concepts
  • • Using ai for automation tasks
  • • Learning responsible ai usage principles

  • • Ai tools comparison report
  • • Prompt engineering practice task

Skills Developed with Artificial Intelligence Course

Ai Fundamentals: Understand ai concepts, types of ai, ai workflow, real-world applications, and the difference between ai, ml, and deep learning.
Python Basics For Ai: Learn python fundamentals, variables, conditions, loops, functions, data structures, and basic ai logic building.
Data Handling Basics: Work with simple datasets, basic data cleaning, data understanding, numpy basics, pandas basics, and beginner-level analysis.
Machine Learning Introduction: Learn basic supervised learning, unsupervised learning, features, labels, model training, testing, and prediction concepts.
Nlp Basics: Understand text processing, tokenization, chatbot logic, sentiment analysis basics, and language-based ai applications.
Computer Vision Basics: Learn image processing concepts, face detection basics, object detection overview, and simple vision-based ai use cases.
Generative Ai Concepts: Understand chatgpt, ai assistants, text generation, ai tools, content generation, and responsible ai usage.
Prompt Engineering: Practice writing effective prompts for learning, content creation, coding help, automation, and ai-based productivity.
Ai Tools Usage: Work with beginner-friendly ai tools, python libraries, jupyter notebook or google colab, and practical ai examples.
Ai Project Development Skills: Practice planning, building, testing, documenting, and presenting beginner-level ai projects.

Career Opportunities after Artificial Intelligence Course

This course opens doors to multiple high-demand career paths across industries.

Ai Intern:

Support basic ai projects, data preparation, prompt writing, chatbot testing, and beginner-level ai implementation tasks.

Ai Project Assistant:

Help teams with ai research, dataset understanding, model testing, documentation, and project coordination.

Prompt Engineering Assistant:

Create and optimize prompts for content generation, automation, chatbots, and ai productivity tools.

Junior Ai Developer:

Build basic ai applications such as chatbots, simple recommendation tools, and automation-based projects.

Ai Automation Assistant:

Work on simple automation tasks using ai tools, prompt workflows, and beginner-level intelligent systems.

Why Enroll in Artificial Intelligence with Solitaire Learning?

Beginner-friendly Ai Training: The course starts from ai fundamentals and gradually introduces python, ml basics, nlp, computer vision, and generative ai.
Practical Project-based Learning: Learners work on beginner-level ai projects like chatbots, recommendation tools, study planners, and ai assistants.
Industry-relevant Ai Tools: The course covers python basics, ai libraries, chatgpt, prompt engineering, google colab, and modern ai productivity tools.
Mentor-guided Learning: Learners receive mentor support for concept clarity, project development, prompt practice, and doubt solving.
Strong Foundation For Advanced Ai Courses: The course builds a solid base before moving into 45 days, 2 months, 3 months, 4 months, or 6 months ai programs.

Ready to Take the Next Step in Your Career?

Join our expert-led training program, gain industry-recognized skills, and move closer to your professional goals. Seats are limited — enroll today!

Recommended Courses for You

Flutter App Bootcamp

⭐ 4.5
👨‍🎓 1620 Enrolled
Single Codebase Advantage: Build Apps For Mul
Fast Development: Hot Reload Feature Helps In
View Course

Progressive Learning In
Digital Marketing

⭐ 4.0
👨‍🎓 1740 Enrolled
Build A Future-proof Career: Digital Marketin
Master Skills Every Business Needs: Learn How
View Course

AI Engineering Career
Track

⭐ 1.8
👨‍🎓 1110 Enrolled
High Demand In The It Industry: Ai Is In Dema
Useful In Multiple Career Fields: Ai Is Used
View Course

UI/UX Design Essentials
Program

⭐ 4.0
👨‍🎓 1605 Enrolled
High Demand In Digital Products: Ui/ux Design
Creative And Problem-solving Skill: Ui/ux Com
View Course