Artificial Intelligence & Machine Learning
If you like building intelligent systems, training predictive models, engineering generative AI pipelines, and developing autonomous AI agents, this path is for you.
An AI/ML Engineer designs, trains, and deploys scalable artificial intelligence models to solve complex real-world problems. Key skills include machine learning algorithms, deep learning, natural language processing, prompt engineering, and agentic workflows.
Skills you'll gain: Python Programming, Exploratory Data Analysis (EDA), Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Prompt Engineering, Retrieval-Augmented Generation (RAG), Fine-Tuning (PEFT/LoRA), Agentic AI Architecture, LangChain, CrewAI
Courses we offer
Build autonomous multi-agent workflows and systems using LangChain, CrewAI, LangGraph, and AutoGen.
30 Hours
•
Beginner
Data Science with Python
Master Python data analytics, exploratory data analysis, machine learning algorithms, and deep learning basics.
45 Hours
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Beginner
Deep Learning & Artificial Intelligence
Build advanced computer vision models, sequential networks, and NLP systems with neural network architectures.
42 Hours
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Beginner
LLM Prompt Engineering & GenAI Applications
Design LLM applications, RAG pipelines, vector search systems, and fine-tune models using LangChain and LlamaIndex.
36 Hours
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Beginner