Course Journey
A hands-on, practical approach to mastering Python, Machine Learning, and Data Science.
Deep Learning Techniques
Computer Vision
NLP & Language Models
Prompt Engineering
AI Integration
Agentic AI Development
API Development
Real-time AI Project
Deep Learning Techniques
Computer Vision
NLP & Language Models
Prompt Engineering
AI Integration
Agentic AI Development
API Development
Real-time AI Project
Deep Learning Techniques
Computer Vision
NLP & Language Models
Prompt Engineering
AI Integration
Agentic AI Development
API Development
Real-time AI Project
ELIGIBILITY CRITERIA
Who is this for?
Computer Science Under-Graduates, Engineers, or Developers
Professionals already experienced with Machine Learning
Individuals who have completed small-scale ML projects
Aware of current AI trends, LLMs, and modern AI tools
Comfortable with Python libraries
Skills You'll Gain
Build a powerful portfolio of skills that will set you apart in the competitive AI job market.
AI Model Design
Design and build custom AI models for various use cases and applications.
LLM Integration
Integrate LLMs & GPT into applications effectively for enhanced functionality.
AI Deployment
Deploy AI products using FastAPI & Docker with industry best practices.
AI Agents
Automate tasks with AI Agents and LangChain for powerful automation.
Vector Databases
Work with Vector Databases for smart and efficient data retrieval.
Portfolio Projects
Build portfolio-ready projects that demonstrate your skills and stand out.
Technical Interviews
Prepare for technical interviews with real-world coding and problem-solving skills.
Meet Your Instructors
Learn from industry veterans and researchers who bring years of AI experience and insights to your training journey.
Hamza
Full Stack AI Engineer
