This course is intended for students in the final year of their graduation, to give them a glimpse of how the tech hiring process works. This course might also help early stage tech professionals, for them to get a sense of how AI / Vibe coding might affect the tech industry.

What you'll learn

• Understand the software Industry and trouble shoot why you are not getting offers

• Highlight the various roles in the Product Development team

• Job simulation using AI / vibe coding

• Help the learner select the right role to apply

• Help the learner make key strategic decisions related to his/her career

• Course also includes some hacks to gain experience prior to an internship or Job role

• Course also includes some tactical advice on Resume building and Interview preparation

• Trouble shoot why the learner is not able to find the right role

Imagine AI that creates entirely new things, from images to music. Generative AI uses machine learning to analyze mountains of data, grasping the essence of what makes something a photo, a song, or a story. It then uses this knowledge to produce fresh, original content, pushing the boundaries of creative possibility.

Amazon Bedrock is a cloud service that lets you access powerful AI models from various companies.  These models are like building blocks, allowing you to create applications that can write different kinds of creative text formats, translate languages, and answer your questions in an informative way.  All through a single program interface, you can pick the right model for your project, fine-tune it with your data, and deploy it into your applications without having to manage any servers yourself.

LangChain is a toolkit for developers to easily build applications powered by large language models (LLMs).  Imagine AI programs that can chat, write different kinds of creative content, or answer your questions. LangChain simplifies the process of building these applications by providing pre-made building blocks users can snap together. This lets developers focus on the unique features of their application without needing to be an LLM expert.

LlamaIndex is a framework designed to make large language models (LLMs) more powerful. It lets you connect your data to LLMs, allowing them to answer your questions, complete tasks, and generate creative text formats  based on the information you provide. You can use LlamaIndex to build things like chatbots, question answering systems, and even intelligent agents.

Weaviate is an open-source vector database built for AI applications. It stores data and its semantic meaning, allowing you to search for similar information using AI techniques.  Imagine searching for images not just by keywords, but by how similar they look to another image. Weaviate makes this possible for various data types, like text and images, and is a powerful tool for building intelligent applications.

Pinecone is a cloud-based vector database built for lightning-fast searches of complex data. It stores information as unique codes. Pinecone excels at finding similar items based on these codes, making it ideal for AI tasks like image recommendation or searching massive amounts of text data.