AI+ Engineer™
The AI+ Engineer certification program offers a structured journey through the foundational principles, advanced techniques, and practical applications of Artificial Intelligence (AI). Beginning with the Foundations of AI, participants progress through modules covering AI Architecture, Neural Networks, Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Transfer Learning using Hugging Face. With a focus on hands-on learning, students develop proficiency in crafting sophisticated Graphical User Interfaces (GUIs) tailored for AI solutions and gain insight into AI communication and deployment pipelines. Upon completion, graduates are equipped with a robust understanding of AI concepts and techniques, ready to tackle real-world challenges and contribute effectively to the ever-evolving field of Artificial Intelligence.
Fee structure:
Self-Learning Mode:
Each certificate: INR: 19,999
(online videos access + practice tests) – 4 weeks
On-line Instructure led training:
Certificate: INR: 29,999
(online videos access + practice tests) – 4 weeks
Objectives
Advanced Data Analysis Techniques
Learners will acquire skills in managing, preprocessing, and analyzing data using statistical methods and exploratory techniques to uncover insights and patterns.
Programming and Machine Learning Proficiency
Students will develop strong programming skills necessary for data science, along with foundational and advanced machine learning techniques to build predictive models.
Application of Generative AI and Machine Learning
Learners will learn to employ generative AI tools and machine learning algorithms to derive deeper insights from data, enhancing their analytical capabilities.
Data-Driven Decision Making and Storytelling
Students who goes through this course will get the ability to make informed decisions based on data analysis and effectively communicate findings through compelling data storytelling.
Prerequisites
- AI+ Data or AI Developer course should be completed.
- Basic understanding of Python Programming: Proficiency in Python is mandatory for hands-on exercises and project work.
- Basic Math: Familiarity with high school-level algebra and basic statistics.
- Computer Science Fundamentals: Understanding basic programming concepts (variables, functions, loops) and data structures (lists, dictionaries).
