Artificial Intelligence
Artificial Intelligence is an 8-week advanced course for developers and analysts, covering neural networks, search algorithms, knowledge graphs, and modern AI APIs like OpenAI and Gemini. Learners build practical AI features into applications, practice responsible AI evaluation, and complete projects such as a pathfinding solver, a constraint-satisfaction solver, and a RAG document Q&A assistant.
Learn to build, train, and deploy AI models that solve real business problems — predictive analytics and automation, not just theory.
What you'll learn
Course details
Duration
8 weeks
Best for
Developers and analysts ready to build practical AI features
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Artificial Intelligence.
01Getting Started & Environment Setup
4 topicsWeek 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
02Basic
3 topicsWeeks 2–3
- What is artificial intelligence?
- Python for AI: NumPy arrays and linear algebra
- Search algorithms: BFS, DFS, and A*
03Intermediate
3 topicsWeek 4
- Propositional and first-order logic
- Knowledge graphs and expert systems
- Constraint satisfaction problems
04Advanced
3 topicsWeek 5
- Supervised vs. unsupervised learning, decision trees, and model evaluation
- The perceptron, backpropagation, and gradient descent
- Common neural network architectures and regularization
05Pro
4 topicsWeeks 6–7
- How generative AI actually works, and prompt engineering basics
- Computer vision and reinforcement learning basics
- Bias, explainability, privacy, and responsible AI deployment
- Final Capstone Project
06AI Pro
4 topicsWeek 8
- Using Claude, ChatGPT, and Perplexity for AI/ML development
- Prompting for ML code and debugging shape errors
- Verifying AI-generated ML code and explanations
- Project: AI-Assisted Machine Learning Workflow
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
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.
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.
Career & 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.
What Your Certificates Look Like
Real, verifiable certificates with your name, Artificial Intelligence, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Artificial Intelligence
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 8 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Artificial Intelligence
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 8 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
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, so it assumes some prior familiarity with the subject. It starts with a "Getting Started & Environment Setup" module covering tool installation before the main curriculum.
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?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Artificial Intelligence?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
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 your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
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.
