Enai Global - Empowering AI Skills Worldwide

The Enai Global AI Curriculum is a hands-on learning program designed to equip students with practical expertise in Generative AI, Agentic AI, and their real-world applications. Through project-based learning, expert mentorship, and industry-aligned training, participants gain the skills needed to build innovative AI solutions and advance successful careers in the global AI ecosystem.

Key Learning Areas

Generative AI Tools and Frameworks
AI Agent Development
Python Programming for AI
JSON Processing & Data Handling

OpenAI API Integration
Large Language Models (LLM)
Generative AI Tools & Applications
AI Project Development

Students learn how to build AI solutions from scratch and integrate them into real-world applications.

Course Content

Build a strong programming foundation essential for AI, automation, and intelligent systems development.

Master Python syntax, logical structures, and modular programming
Process and manipulate structured data efficiently
Integrate external APIs and handle real-world data workflows
Develop clean, maintainable, production-ready code

Tools: Python, Jupyter Notebook, REST APIs

Understand the architecture behind modern AI systems and implement retrieval-powered intelligent assistants.

Foundations of Generative AI and Large Language Models
Practical prompt engineering and LLM interaction
RAG architecture: embeddings, vector stores, retrieval pipelines
Advanced RAG optimisation and response accuracy techniques

Tools: OpenAI API, LangChain, Vector Databases

Move beyond static AI models to build autonomous, goal-driven agents.

Core principles of agent architecture and lifecycle
Designing agents with tools, memory, and reasoning capability
Implementing task execution and structured workflows
Planning and decision-making strategies for autonomous systems

Tools: LangChain Agents, Python Tooling Frameworks

Develop collaborative multi-agent ecosystems capable of solving complex real-world problems.

Introduction to Crew AI and multi-agent collaboration
Designing structured roles within agent teams
Implementing coordinated agent workflows
Advanced Crew AI optimisation techniques

Tools: Crew AI Framework, Multi-Agent Orchestration Tools

Participants design, build, and deploy a production-ready AI solution.

Week 1 – Project Planning & Architecture Design
Week 2 – Core Implementation
Week 3 – Advanced Feature Development
Week 4 – Finalisation & Presentation

Final Deliverable: A fully functional AI system ready for deployment, portfolio showcase, or startup incubation.

Key highlights:

Beginner-Friendly Structured Curriculum
6–8 Week Intensive Certification Programme
JSPM University Certified
Live Online & Offline Batches
Industry networking opportunities
International Industry Trainers
Hands-On Project-Based Learning

4-Week Capstone Implementation Startup Incubation & Market Launch Support
Dedicated mentor guidance
Business model validation
Co-working and innovation space access
Investor and venture capital introductions
Go-to-market strategy assistance

Start Your AI Journey Today

Join the Enai Global AI Curriculum and gain the skills needed to build the future with Artificial Intelligence.

Enroll Now

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Applied AI Lab: Generative and Agentic Systems

By Enai Global Pvt. Ltd.