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No coding required discover AI concepts, ethics, and real-world use cases.
Dive into LLMs, prompt engineering, and build your own GenAI-powered apps.
Build autonomous AI agents that think, decide, and act to solve real-world problems independently.
Go beyond single agents build AI systems that reason, plan, and act across multi-step workflows.
No coding required discover AI concepts, ethics, and real-world use cases.
Dive into LLMs, prompt engineering, and build your own GenAI-powered apps.
Build autonomous AI agents that think, decide, and act to solve real-world problems independently.
Go beyond single agents build AI systems that reason, plan, and act across multi-step workflows.
Explore how AI began, key milestones, and where the field is heading.
Learn supervised and unsupervised ML, build and deploy real models.
Understand neural networks, CNNs, RNNs, and modern architectures build DL models.
Analyze, visualize, and tell stories with data and dashboards.
Design AI agents that collaborate for complex workflows and automation.
Jump straight into building AI projects with mentor guidance and code reviews.
Learn Python for AI, data, and app development clean, production-ready code.
Logic puzzles, creative AI tools, and fun projects to spark early innovation.
Design AI agents that collaborate for complex workflows and automation.
Jump straight into building AI projects with mentor guidance and code reviews.
Learn Python for AI, data, and app development clean, production-ready code.
Logic puzzles, creative AI tools, and fun projects to spark early innovation.
AI Engineering Program
From Beginner to Building Intelligent AI Systems
Our flagship four-month AI Engineering Program provides a structured pathway through Python Programming, Machine Learning, Deep Learning, Generative AI and Agentic AI.
Designed for beginners, students, professionals and developers, this live instructor-led program combines technical foundations with practical applications and portfolio development.
Program Details
* Duration: 4 Months
* Total Live Classes: 32
* Classes Per Week: 2
* Weekly Live Learning: 4 Hours
* Learning Mode: Live Online, Instructor-Led
* Experience Level: Beginner-Friendly
* Learning Approach: Practical, Project-Based
Module 1: Python Programming
From Scratch to Advanced Foundations
Build a strong programming foundation with Python, one of the most widely used languages in Data Science and AI development.
What You Will Learn:
* Python fundamentals and programming logic
* Variables, data types, operators and conditional statements
* Loops, functions and data structures
* Object-Oriented Programming
* NumPy and Pandas fundamentals
* Structured problem-solving and practical coding
Learning Outcome: Develop the programming skills necessary to progress toward Machine Learning and AI application development.
Module 2: Machine Learning & NLP Foundations
Turn Data into Intelligent Predictions
Explore how machines learn from data and how predictive models can support decision-making.
What You Will Learn:
* Artificial Intelligence and Machine Learning fundamentals
* Supervised and Unsupervised Learning
* Classification and Regression
* Random Forest and Naive Bayes
* Data preprocessing and feature preparation
* Model training and evaluation
* Accuracy, Precision, Recall and F1 Score
* Interactive Machine Learning applications using Streamlit
Learning Outcome: Understand how to develop, evaluate and present a practical Machine Learning application.
Module 3: Deep Learning & Generative AI
Understand the Technologies Behind Intelligent Systems
Explore neural networks and modern Generative AI concepts through guided implementations.
What You Will Learn:
* Artificial Neural Networks (ANN)
* Deep Learning workflows
* Recurrent Neural Networks (RNN)
* LSTM and GRU architectures
* Natural Language Processing concepts
* Tokenization and word embeddings
* Attention mechanisms and Transformers
* Retrieval-Augmented Generation (RAG)
* Conversational AI and document-based chatbots
Learning Outcome: Gain practical experience with neural-network models, conversational applications and retrieval-based AI systems.
Module 4: AI Agents & Agentic AI
Build Intelligent Systems That Can Use Tools and Complete Tasks
Progress into AI agents, automation workflows and multi-agent application development.
What You Will Learn:
* AI agent concepts and architectures
* Tool-using agents
* AI-powered web search and summarization
* Document Q&A agents
* Natural-language SQL assistants
* Multi-agent research and data-analysis workflows
* Goal-driven and autonomous agent concepts
* API integration and FastAPI deployment foundations
Learning Outcome: Develop an understanding of how AI agents interact with tools, data and external services to perform multi-step tasks.
Collaborative planning, tracking, adapting projects flexibly for effective development.
Track code changes, manage versions, prevent conflicts, ensure collaboration.
Automate building, testing, releasing software reliably, speeding up development.
Enhance teamwork, communication, project alignment effectively, fostering collaboration.
Welcome to Aicademy 360, a global online academy where curiosity turns into capability. Led by Mr. Shahzeb Malik, an Artificial Intelligence Specialist with deep expertise in Data Science and 7+ years of real-world experience. Aicademy 360 delivers industry-aligned AI education for tomorrow’s innovators.