Code4Startup - The Complete AI Fast Track Bootcamp [Update 04/2025]
English | Size: 1.5 GB
Genre: eLearning[/center]

The Complete AI Fast Track Bootcamp. This course provides a fast-paced, hands-on learning path to mastering the fundamentals and advanced tools of AI and large-scale language models, including Prompt Engineering, Google Gemini, and Langchin. In 2024, everyone believes that AI is a source of opportunity, and this course provides participants with exactly the knowledge they need to secure their future careers and take advantage of these opportunities. It is essential that individuals keep up with the applications and skills of AI relevant to their field, but these skills are often challenging due to their inherent complexity and the need for foundational knowledge in areas such as statistics, data science, machine learning, and programming. Gathering this knowledge from scattered sources can also be time-consuming and tedious. For this reason, this comprehensive bootcamp is designed to take people out of the confusion and directly into learning the key skills they need to succeed in this dynamic environment. This course goes beyond pure theoretical training and focuses on practical implementation, allowing participants to immediately apply their knowledge to real projects.

What you will learn
M01 - Introduction to Generative AI: Get ready to enter the cutting-edge world of Generative AI! This module unlocks the secrets of these pioneering language models and gives people a glimpse into the future of AI technology.
M02 - Master Prompt Engineering: This module will transform individuals into a Prompt Engineering expert, providing the skills to build engaging prompts that unleash the full potential of AI models like GPT-4 and Claude.
M03 - Open-Source Large Language Models with Ollama: This module begins a transformative journey into the realm of open-source large language models with Ollama, providing unprecedented flexibility, control, and customization for people's AI-driven activities.
M04 - Hugging Face: Hugging Face is a leading platform for hosting and interacting with natural language processing models such as LLMs. This section will teach you how to use this platform.
M05 - Embeddings and Vector Databases: Embeddings represent text as numeric vectors to make searching and analysis easier. Vector databases optimize the storage and search of embeddings to understand relationships in the data.
M06 - Understanding and Using Gemini: Gemini is a groundbreaking AI technology that will transform the way people approach tasks and projects. In this module, you will gain a deep understanding of Gemini's capabilities and learn how to harness its full potential.
M07 - LangChain Framework: LangChain is a framework for augmenting LLMs like ChatGPT with external data sources and APIs to improve capabilities.
M08 - CrewAI Framework: This module introduces the groundbreaking CrewAI framework, which enables individuals to coordinate AI agents in full synchrony and open up new frontiers of productivity and success.
M09 - Custom GPTs: Several impressive custom GPT models have been created by developers and researchers. This module showcases some of the most interesting ones that people might want to experiment with or use as a starting point.
M10 - OpenAI Function Calling and Assistants API: This module covers the basics of OpenAI's Function Calling and Assistants API, providing insights and practical exercises to help developers effectively integrate these features into their projects.
M11 - AI for Speech and Vision: This module harnesses AI for speech and vision tasks, guiding individuals through the creation of applications and virtual assistants that can understand and interact with human language and visual data.

This course is suitable for people who:
Professionals looking to upskill and acquire AI skills to secure their future careers.
Developers and technical professionals who want to integrate LLMs and advanced AI tools like LangChain and CrewAI into their projects.
Data analysts and data scientists seeking a deeper understanding of Embeddings, vector databases, and open-source models.
Anyone who wants to quickly move beyond basic AI concepts and gain practical skills in Generative AI and Prompt Engineering.
Entrepreneurs and product managers who want to leverage Gemini capabilities and develop Custom GPTs to create innovative products.

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