Need help choosing a course?Talk to us

AI Fundamentals

5.0 out of 5 6 learner reviews

Learn the fundamentals of Artificial Intelligence, including machine learning, deep learning, and their applications in various industries.

Last Update : 05/11/2026

Preview: Topics below are for preview only and may vary based on your course enrollment.

  • What is Artificial Intelligence?
  • Types of AI: Narrow vs General AI
  • AI Applications in Industry
  • Current AI Landscape and Trends

  • Supervised Learning Basics
  • Unsupervised Learning and Clustering
  • Reinforcement Learning Fundamentals
  • Model Evaluation and Metrics

  • Perceptrons and Neural Network Architecture
  • Backpropagation and Training
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs) and LSTMs

  • Natural Language Processing Fundamentals
  • Transformer Architecture Deep Dive
  • What are Large Language Models?
  • LLM Training Fundamentals

  • Understanding Tokens
  • Token Representation and Embeddings
  • Context Windows Explained
  • Working with Limited Context
  • Advanced Context Techniques

  • Prompt Engineering Fundamentals
  • Few-Shot and Zero-Shot Prompting
  • Chain-of-Thought and Reasoning
  • Retrieval-Augmented Generation (RAG)
  • Advanced Techniques: Multi-Agent Systems

  • Data Collection and Cleaning
  • Data Preprocessing Techniques
  • Feature Engineering Best Practices
  • Text Data Preprocessing for NLP

  • Integrating LLMs via APIs
  • Building Chatbots and Conversational AI
  • Creating AI-Powered Search and Q&A Systems
  • Handling Hallucinations and Model Limitations
  • Production Deployment Considerations

  • Transfer Learning and Fine-Tuning Concepts
  • Supervised Fine-Tuning (SFT)
  • Parameter-Efficient Fine-Tuning
  • Evaluation and Benchmarking

  • Multimodal AI Models
  • Agents and Autonomous Systems
  • Interpretability and Explainable AI
  • AI Safety and Ethics
  • Future of AI: Emerging Research

  • Project Planning and Scope Definition
  • Data Collection and Preparation
  • Implementation and Integration
  • Testing, Evaluation, and Iteration
  • Deployment and Documentation

What you'll gain from AI Fundamentals

  • Understand the roles of AI, machine learning, deep learning and LLMs.
  • Recognize useful business applications and the limitations of AI.
  • Apply prompting and data preparation in an AI-powered capstone application.
  • AI-assisted development: use AI tools to draft application code, prompts and evaluation cases while reviewing outputs; review and test generated suggestions.
  • Security: protect sensitive inputs and account for prompt injection and unsafe outputs.
  • Database: understand how structured data and retrieval stores support AI applications.
  • Performance and optimization: consider inference latency, token usage, caching and model resource costs.
  • Deployment: understand model or API integration, runtime configuration and monitoring.
  • Interview preparation: practise explaining concepts, solving technical problems and discussing practical examples from this course.
  • Salary increment opportunities: strengthen your case for a salary increase or a better-paying role with practical skills you can demonstrate.

Certificate preview

Sample
Sample certificate design with a placeholder recipient name
Sample certificate for illustration. View full size (opens in a new tab)
Student reviews
4.7 / 5
Based on 6 reviews
5 stars 4
4 stars 2
3 stars 0
2 stars 0
1 stars 0

Rajesh Kumar

This internship program was a game-changer for my career! I learned practical skills in AI and full-stack development that directly helped me land a job with a 60% salary hike. The mentors were exceptionally supportive throughout the journey.

Priya Sharma

Excellent curriculum that covers everything from basics to advanced concepts. The capstone project was incredibly valuable in building real-world experience. Highly recommend this course to anyone serious about AI and software development!

Arjun Patel

Great learning experience with hands-on projects and industry mentors. The placement support was helpful, and I was able to secure a role in an AI company. Would have appreciated more emphasis on advanced NLP techniques.

Deepika Singh

The combination of technical and soft skills training is what makes this program special. I learned not just to code but to communicate and lead effectively. The career guidance helped me transition from a non-tech background to AI development.

Vikram Desai

Well-structured program with clear progression. The instructors are industry experts who know what companies are looking for. I got placed within a month of completion with a 50% salary increase!

Neha Gupta

Outstanding program that delivers on its promise! The projects are challenging yet achievable. The community support and peer learning made the entire experience enriching. Worth every penny!