- Introduction to Databases
- SQL Fundamentals — DDL & DML
- Data Query Language (DQL)
- Data Grouping & Conditional Logic
- Advanced SQL
- Database Automation
This magnificent 1 Year Diploma in Cyber Security Course comprises the main domains — Basics of Cyber Security, Penetration Testing, Forensics, and more. Enroll after 10th and 12th and kickstart your tech career.
Through this 1 Year Diploma in Artificial Intelligence and Machine Learning, learners build a strong foundation in modern AI concepts, hands-on tools, and project workflows used by today's technology teams.
Build practical AI and machine learning projects from the first phase of training.
Learn Python, data analysis, model building, Gen AI tools, and deployment workflows.
Work on real datasets so you understand how AI solutions are planned, trained, and improved.
Prepare for roles in AI, machine learning, data science, automation, and prompt engineering.

Project-led learning with AI tools, datasets, and guided labs.
Explore the core modules covered in the 1 Year Diploma in Artificial Intelligence and Machine Learning with practical labs and project-based learning.
Gain hands-on experience with industry-leading Gen AI platforms and tools that are transforming the future of artificial intelligence.





Master these powerful Gen AI tools through hands-on training and real-world projects.
Learn More About Gen AI ToolsExperience world-class facilities with cutting-edge technology and hands-on AI and machine learning training.












Build career-ready AI and machine learning skills with guided classroom training, practical tools, real projects, and mentor-led support.
Learn AI, machine learning, Python, data handling, Gen AI tools, and model workflows through a structured one-year roadmap.
Practice on real datasets, guided labs, model-building tasks, and practical assignments that turn concepts into portfolio-ready work.
Train with current AI platforms and ML libraries used for automation, analytics, intelligent apps, and production-ready experiments.
Get mentoring, certification guidance, interview preparation, and job assistance to move toward AI and data-focused roles.

Learn AI with guided labs, tools practice, and real project workflows.
Get a focused AI and machine learning learning path with modern tools, hands-on practice, mentoring, and career support from Craw Security.
AI and machine learning training with practical classroom and lab sessions.
Hands-on practice with Python, datasets, model building, and Gen AI tools.
Project-based learning designed for portfolio and interview preparation.
Career guidance, certification support, and placement assistance after training.
Beginner-friendly roadmap that progresses toward advanced AI workflows.
Choose a convenient AI and machine learning batch with classroom, online, and hybrid learning options from Craw Security.
AI & Machine Learning Diploma
10 am - 12 pm
Classroom
28 Apr 2026
AI & Machine Learning Diploma
12 pm - 2 pm
Online
29 Apr 2026
AI & Machine Learning Diploma
4 pm - 6 pm
Hybrid
30 Apr 2026
| Course Name | Timing | Mode | Date |
|---|---|---|---|
| AI & Machine Learning Diploma | 10 am - 12 pm | Classroom | 28 Apr 2026 |
| AI & Machine Learning Diploma | 12 pm - 2 pm | Online | 29 Apr 2026 |
| AI & Machine Learning Diploma | 4 pm - 6 pm | Hybrid | 30 Apr 2026 |
See how learners describe their classroom experience, mentor support, AI tools practice, and project-based training at Craw Security.
The AI and machine learning sessions helped me understand Python, datasets, and model training with practical examples. The mentors explained every concept clearly and the lab practice made the learning much easier.
AI Diploma Student
I joined Craw to build a strong base in AI. The course structure, tools practice, and project work gave me confidence to explore machine learning and Gen AI use cases in a real working environment.
Machine Learning Learner
The best part of this diploma is the hands-on training. We worked on real datasets, learned current AI tools, and got guidance for interviews and career paths in artificial intelligence.
Student
The AI and machine learning sessions helped me understand Python, datasets, and model training with practical examples. The mentors explained every concept clearly and the lab practice made the learning much easier.
AI Diploma Student
I joined Craw to build a strong base in AI. The course structure, tools practice, and project work gave me confidence to explore machine learning and Gen AI use cases in a real working environment.
Machine Learning Learner
The best part of this diploma is the hands-on training. We worked on real datasets, learned current AI tools, and got guidance for interviews and career paths in artificial intelligence.
Student
Answers about the 1 Year Diploma in Artificial Intelligence and Machine Learning, course format, tools, projects, and career support.
It is a structured diploma program focused on artificial intelligence, machine learning, Python, data handling, Gen AI tools, model building, and hands-on project work for learners who want to build career-ready AI skills.
Students after 10th or 12th, graduates, working professionals, IT learners, and beginners who want to start a career in AI, machine learning, data science, automation, or prompt engineering can join this program.
Basic computer knowledge is helpful, but advanced coding experience is not required. The course introduces Python, data concepts, and machine learning workflows step by step with guided lab practice.
You will work with modern AI and ML tools such as Python, machine learning libraries, data analysis workflows, ChatGPT, Hugging Face, Kaggle, TensorFlow, Ollama, and other practical platforms used in AI projects.
Yes. The diploma is designed around hands-on learning, so learners practice on datasets, build models, explore Gen AI tools, and complete guided projects that can support portfolio and interview preparation.
Yes. Learners receive mentoring, interview preparation guidance, certification support, and job assistance to help them move toward AI, machine learning, data analytics, and automation-focused roles.