D24
Data & AIAdvanced8 weeks
Artificial Intelligence
Learn to build, train, and deploy AI models that solve real business problems — predictive analytics and automation, not just theory.
What you'll learn
Core AI concepts, neural networks, and how they learn
Working with modern AI APIs like OpenAI and Gemini
Building AI-powered features into real applications
Responsible AI practices and evaluating model output
Course details
Duration
8 weeks
Best for
Developers and analysts ready to build practical AI features
On completion
Verified certificate & placement assistance
Compare enrollment modes
| Mode | Price | What you get |
|---|---|---|
| Live Class | ₹4,999 | Instructor-led live cohort with doubt-clearing sessions — includes both the course and internship certificates. |
| Recorded Batch | ₹2,999 | Full recordings of a completed live batch — includes both the course and internship certificates. |
| Internship | ₹2,499 | Work on 4 real projects with our team and earn an internship certificate (course certificate not included). |
| Self-Paced | ₹1,999 | Learn anytime with the full recorded curriculum and community access. |
Choose how you learn
Course Curriculum
A module-by-module breakdown of what you'll cover in Artificial Intelligence.
01
Getting Started & Environment Setup
Week 1- Installing Python and Git
- Setting up API access for Claude/ChatGPT and GitHub Copilot
- Creating free Hugging Face and Weights & Biases accounts
- Installing PyTorch and verifying your setup
02
Foundations: Python, Math & Search
Week 2- Python and Git refresher for AI work
- Linear algebra and probability essentials
- Uninformed and informed search (BFS/DFS, A*)
- Adversarial search and constraint satisfaction problems
03
Knowledge Representation & Logic
Week 3- Propositional and first-order logic
- Inference and resolution
- Semantic networks and ontologies
- Rule-based expert systems and knowledge graphs
04
Machine Learning Fundamentals
Weeks 4–5- Supervised vs. unsupervised learning
- Regression, classification, and decision trees
- Model evaluation metrics
- End-to-end workflows with scikit-learn
05
Neural Networks
Week 6- Perceptrons and activation functions
- Backpropagation from first principles
- Building feedforward networks in PyTorch
- Overfitting and regularization
06
Generative AI, Computer Vision & Reinforcement Learning
Week 7- Transformer architecture and prompt engineering
- Embeddings, vector search, and retrieval-augmented generation
- CNNs for image classification
- Markov decision processes and Q-learning
07
AI Ethics & Responsible AI
Week 8- Bias and fairness in models
- Explainability techniques (SHAP/LIME)
- AI safety, privacy, and governance basics
- Auditing a model for risk and mitigation
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
ClaClaude / ChatGPT
GitGitHub Copilot
HugHugging Face
LanLangChain / LlamaIndex
GymGymnasium (OpenAI Gym)
WeiWeights & Biases
PyTPyTorch
sciscikit-learn
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
Campus pathfinding solver using A* compared against Dijkstra and breadth-first search
Sudoku and N-Queens constraint-satisfaction solver with backtracking and forward checking
Rule-based triage advisor built as a forward-chaining expert system
Handwritten digit classifier with a small CNN and an interactive web demo
RAG document Q&A assistant that answers questions with source citations
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Who's teaching this
Prasanth J
Founder · Zoho One Expert & Corporate Trainer
Microsoft Certified: Power BI Data Analyst AssociateBefore Data24Zone trained anyone else, its founder was already doing the work — delivering corporate and campus training in data analytics, Power BI, and the Zoho suite across colleges and companies. 10,000+ learners trained, same standard every course is built to.
Meet the founderCareer & Placement Support
100% of students enrolled in Artificial Intelligence get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
Student Reviews
“Gave me exactly what I needed to have informed conversations with my engineering team about AI features.”
Sanjay Iyer
Product Manager
“The applied AI module was excellent — building with real APIs made concepts click instantly.”
Meena Krishnan
Computer Science Student
Frequently Asked Questions
What will I learn in the Artificial Intelligence course?
You'll learn: Core AI concepts, neural networks, and how they learn; Working with modern AI APIs like OpenAI and Gemini; Building AI-powered features into real applications; Responsible AI practices and evaluating model output.
What tools and technologies does the Artificial Intelligence course cover?
This course covers: Claude / ChatGPT, GitHub Copilot, Hugging Face, LangChain / LlamaIndex, Gymnasium (OpenAI Gym), Weights & Biases, PyTorch, scikit-learn.
Is the Artificial Intelligence course beginner-friendly?
This is a advanced-level course. It still starts with a "Getting Started & Environment Setup" module covering tool installation, but assumes some prior familiarity with the subject.
How long does the Artificial Intelligence course take to complete?
The course is designed to be completed in approximately 8 weeks, depending on your pace.
What enrollment options are available for Artificial Intelligence?
Live Class (₹4,999) — Instructor-led live cohort with doubt-clearing sessions — includes both the course and internship certificates. Recorded Batch (₹2,999) — Full recordings of a completed live batch — includes both the course and internship certificates. Internship (₹2,499) — Work on 4 real projects with our team and earn an internship certificate (course certificate not included). Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Artificial Intelligence?
Yes — enrolling in the Internship track (or the Live/Recorded tracks, which include it) means working through 4 real projects with our team and earning a separate Internship Certificate, in addition to the course completion certificate for Live/Recorded enrollments.
Will I get a certificate after completing Artificial Intelligence?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once all 4 internship projects are approved. Live and Recorded enrollments earn both. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile.
What kind of projects will I build in Artificial Intelligence?
You'll work on real projects such as: Campus pathfinding solver using A* compared against Dijkstra and breadth-first search; Sudoku and N-Queens constraint-satisfaction solver with backtracking and forward checking; Rule-based triage advisor built as a forward-chaining expert system; Handwritten digit classifier with a small CNN and an interactive web demo; RAG document Q&A assistant that answers questions with source citations.
Is placement support included with Artificial Intelligence?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
