Find here the information about the courses included in the bootcamp.

Introduction to Artificial Intelligence (AI)

13h

Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

Generative AI: Introduction and Applications

8h

Explore common generative AI models and tools for text, code, image, audio, and video generation.

Generative AI: Prompt Engineering Basics

9h

Apply common prompt engineering techniques and approaches for writing effective prompts.

Python for Data Science, AI & DevelopmeNT

24h

Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.

Developing AI Applications with Python and Flask

12h

Describe the steps and processes involved in creating a Python application including the application development lifecycle

Building Generative AI-Powered Applications with Python

15h

Explain the core concepts of generative AI, including large language models, speech technologies, and platforms such as IBM watsonX, and Hugging Face

Data Analysis with Python

17h

Construct Python programs to clean and prepare data for analysis by addressing missing values, formatting inconsistencies, normalization, and binning

Machine Learning with Python

20h

Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.

Introduction to Deep Learning & Neural Networks with Keras

10h

Describe the foundational concepts of deep learning, neurons, and artificial neural networks to solve real-world problems.

Generative AI and LLMs: Architecture and Data Preparation

6h

Differentiate between generative AI architectures and models, such as RNNs, transformers, VAEs, GANs, and diffusion models.

Gen AI Foundational Models for NLP & Language Understanding

10h

Explain how one-hot encoding, bag-of-words, embeddings, and embedding bags transform text into numerical features for NLP models.

Generative AI Language Modeling with Transformers

9h

Explain the role of attention mechanisms in transformer models for capturing contextual relationships in text.

Generative AI Engineering and Fine-Tuning Transformers

8h

Sought-after, job-ready skills businesses need for working with transformer-based LLMs in generative AI engineering

Generative AI Advanced Fine-Tuning for LLMs

9h

In-demand generative AI engineering skills in fine-tuning LLMs that employers are actively seeking.

Fundamentals of AI Agents Using RAG and LangChain

9h

In-demand, job-ready skills businesses seek for building AI agents using RAG and LangChain in just 8 hours.

Project: Generative AI Applications with RAG and LangChain

9h

Gain practical experience building your own real-world generative AI application to showcase in interviews .