⤵️ Quick shortcut: Select the module you’re currently studying ⤵️
Courses Module 1 Module 2 Module 3 Module 4 Module 5 Module 6
What is the objective of this course?
This course aims to equip you with practical skills to build and deploy AI systems, focusing on a complete pipeline powered by LLMs through the Jarvid project.
Who is this course for?
This course is designed for Howdy Professionals—especially senior engineers—who want to enhance their AI skills and meet evolving industry standards.
What is the duration of the course?
The course runs for 6 weeks and requires approximately 8-10 hours of work per week. However, it is entirely self-paced to fit your schedule.
Is this course mandatory?
No, participation is voluntary. However, completing the course can significantly boost your skills and professional profile.}
Can junior engineers take the course?
Yes, but they may need to prepare by reviewing foundational concepts like Python, embeddings, and LLM architecture.
What topics are covered in this course?
The course covers LLM theory, data ingestion, pre-processing, embeddings, Retrieval-Augmented Generation (RAG), and deployment.
What is the Jarvid project?
The Jarvid project is a hands-on implementation that simulates a real-world AI pipeline, connecting knowledge retrieval with LLMs for intelligent insights.
Are there any prerequisites?
Yes, a basic understanding of Python and familiarity with cloud platforms, APIs, and backend development are recommended.
Is there a fixed schedule for completing the course?
No, the course is self-paced, allowing you to complete modules and assignments at your convenience.
Are there optional modules?
Yes, the course includes optional modules on Python basics and the advanced theory of embeddings for those who wish to dive deeper.
What tools or software do I need?
You’ll need Python (3.8+), Docker, a vector search tool like FAISS, and access to APIs such as OpenAI or HuggingFace.
What dependencies should I install?
A requirements.txt file will be provided to install all necessary Python libraries.
Will I need access to cloud platforms?
Yes, services like AWS, GCP, or Azure are used for deployment tasks.
Do I need prior experience with cloud platforms?
A basic understanding of cloud services like AWS Lambda, S3, and EC2 is helpful but not mandatory.
Do I need special hardware for the course?
No, a standard development laptop with a reliable internet connection is sufficient.
How do I track my progress in the course?
Progress can be tracked through the course platform.
Are there tests or quizzes?
Each module includes self-assessment tasks to ensure comprehension, but no formal grading.
What happens if I fall behind?
Since the course is self-paced, you can resume at any time. There’s no penalty for taking longer to complete it.
How do I know if I’m ready for the next module?
Each module has a checklist of learning outcomes. Once you complete the tasks and feel confident, you can move on.
Are there collaboration opportunities?
Yes, join the #howdy-ai-training Slack channel to discuss progress, share insights, and ask questions.
Is there instructor support available?
No live instructor sessions are included. However, technical contributors and peers in the Slack channel can assist with questions.
What resources are provided?
Resources include step-by-step guides, sample code, videos, and documentation to support independent learning.
How do I get help with technical issues?
Post your questions in the #howdy-ai-training Slack channel or refer to the documentation provided with each module.
Are there examples or demos?
Yes, the course includes example scripts, datasets, and a demo of the Jarvid project.
Can I suggest improvements to the curriculum?
Absolutely! Feedback is encouraged and can be shared via Slack or in post-module surveys.
Will I receive a certificate upon completion?
Yes! Coming soon, your course completion will be highlighted on your engineering profile at Howdy, which is shared with partners and new teams to highlight your new skill set
How will this course benefit my career?
You’ll gain in-demand AI skills, making you more competitive and opening doors to AI-focused roles. Your skill set will be updated in our Howdy Professional Database, so that you get priority for AI related projects if you're ever introduced to a new opportunity at Howdy
Can I showcase my new skills to partners?
Yes, your Howdy profile will be updated to reflect course completion, showcasing your expertise to partners.
Will completing this course affect my placement opportunities?
Yes, AI skills are highly sought after, and this course can increase your chances of landing exciting projects.
How does this course demonstrate Howdy’s commitment to my growth?
This curriculum represents Howdy’s investment in equipping you with cutting-edge skills to thrive in an AI-driven industry.