AI for Engineers
5.0 (8)
5 Weeks
·Cohort-based Course
Master Generative AI for engineers: prompt engineering, RAG, fine-tuning & more. Build cutting-edge AI apps & revolutionize your projects.
AI for Engineers
5.0 (8)
5 Weeks
·Cohort-based Course
Master Generative AI for engineers: prompt engineering, RAG, fine-tuning & more. Build cutting-edge AI apps & revolutionize your projects.
Build using top-tier industry tools
Course overview
From AI Novice to Generative AI Engineer
If nothing entice you to join the course here is my offer.
As a part of this course, you will get credits* worth of $750 from various service providers - some in compute, some in platform, some in software. Also Maven has 25% discount on this course due to this being in top 100 course. With that, you get this course at no-cost. Yes, at no-cost. Why not join?
In this transformative course, you'll journey from being an AI novice to becoming a confident and skilled Generative AI Engineer. You'll gain a deep understanding of the fundamental concepts behind Large Language Models (LLMs) and their applications in solving real-world engineering challenges.
Through hands-on projects and expert guidance, you'll master the art of prompt engineering, enabling you to effectively communicate with and guide LLMs to achieve desired outcomes. You'll explore cutting-edge techniques like Retrieval Augmented Generation (RAG) and fine-tuning, empowering you to build sophisticated AI systems that can process and generate human-like text.
As you progress through the course, you'll develop the skills to create agentic systems that can autonomously perform complex tasks and make intelligent decisions. You'll also learn best practices for deploying and monitoring LLM applications in production environments, ensuring scalability and reliability.
By the end of this course, you'll have a robust portfolio of Generative AI projects showcasing your ability to leverage LLMs for various engineering applications. You'll be equipped with the knowledge and practical experience needed to drive innovation in your organization and make a significant impact in the field of AI engineering.
Some of the tools we will use during the course are: OpenAI chatGPT, Amazon SageMaker, Amazon Bedrock, Anthropic's Claude, LangChain, LlamaIndex, HuggingFace
Whether you're a software engineer looking to expand your skill set, a data scientist seeking to harness the power of Generative AI, or a domain expert aiming to incorporate AI into your projects, this course will provide you with the tools and confidence to succeed. Join us on this transformative journey and unlock the limitless potential of Generative AI in engineering.
Schedule at-a-glance:
⏰ Time: 10:30 am - 12:00pm EST (New York time)
🗓️ Dates:
June 15 (Saturday)
June 16 (Sunday)
June 22 (Saturday)
June 23 (Sunday)
June 29 (Saturday)
June 30 (Sunday)
July 6 (Saturday)
July 7 (Sunday)
July 13 (Saturday)
P.S. Education should be accessible to everyone. If money is a barrier for you, please email (me@RiteshAI.com), and I will help by providing a discount. If you are from a developing country (e.g. India, Brazil), I will work with you to consider an appropriate discount.
*disclaimer: credits are subject to change and you may not get full credit what vendor offers.
Who is this course for
01
Software Engineers and Developers:
Expand your skills, build intelligent apps, automate tasks, and stay competitive in AI-driven development
02
Data Scientists and AI Enthusiasts:
Explore Generative AI, leverage LLMs for insights, push boundaries, and solve real-world problems
03
Domain Experts and Researchers:
Incorporate AI into your projects, automate tasks, gain insights, and collaborate with AI experts.
What you’ll get out of this course
Mastering Prompt Engineering
- Learn to effectively communicate with and guide LLMs through optimized prompts.
- Unlock the full potential of LLMs and achieve desired outcomes in your AI projects.
Implementing Retrieval Augmented Generation (RAG)
- Discover how RAG enhances LLMs by integrating external knowledge sources.
- Build powerful question-answering systems and knowledge-intensive applications.
Fine-Tuning LLMs for Domain-Specific Tasks
- Adapt pre-trained LLMs to your specific domain or task requirements.
- Improve the performance and accuracy of your AI models through fine-tuning techniques.
Developing Agentic AI Systems
- Create autonomous AI agents that can perform complex tasks and make intelligent decisions.
- Explore the concepts of goal-oriented behavior and rational decision-making in AI systems.
Deploying and Monitoring LLM Applications
- Learn best practices for deploying LLM applications in production environments.
- Ensure the scalability, reliability, and performance of your AI systems through effective monitoring and logging techniques.
This course includes
10 interactive live sessions
Lifetime access to course materials
22 in-depth lessons
Direct access to instructor
5 projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
AI for Engineers
Course syllabus
Week 1
Aug
17
Session 1
Aug
18
Session 2
Pre-work on LLM and Prompt Engineering
Introduction to Generative AI, Large Language Models, and Prompt Engineering
Week 2
Aug
24
Session 3
Aug
25
Session 4
Pre-work on RAG
Retrieval Augmented Generation (RAG)
Week 3
Aug
31
Session 5
Sep
1
Session 6
Pre-work on fine-tuning
Fine-Tuning
Week 4
Sep
7
Session 7
Sep
8
Session 8
Pre-work on agents and deployment
Agents and Deployment
Week 5
Sep
14
Session 9
Sep
15
Optional: Session 10
Industry Use Cases, Best Practices, and Final Project
Bonus
1:1 interaction
5.0 (8 ratings)
What students are saying
Meet your instructor
Ritesh Vajariya
Builder at heart, currently Ritesh is Global Head of Generative AI for Cerebras Systems. Prior to that Ritesh led Generative AI for SageMaker and Bedrock at Amazon Web Services (AWS), guiding heads of state, technology and business leaders, founders, and investors globally on AI adoption. Ritesh has overseen the creation of some of the most groundbreaking foundation models in existence, including BloombergGPT, Falcon,.
Prior to that, Ritesh spearheaded the creation of Bloomberg's massive data and machine learning platform as an innovative leader. This enabled hundreds of engineers and scientists to build scalable, AI-powered applications.
.
Outside of work, Ritesh is changing the game of AI. Ritesh has spoken about AI around the world, advises on AI usage, and created playbooks to educate businesses on how to successfully build and scale with AI.
Ritesh founded AIGuru.Academy, a platform that offers free to nominal cost AI education to individuals regardless of their socio-economic background.
Connect via LinkedIn or drop an email
Reach out for corporate trainings and group/student discounts.
Course schedule
4-6 hours per week
Saturday & Sunday
⏰ Time: 10:30 am - 12:00pm EST (New York
🗓️ Dates:
June 15 (Saturday)
June 16 (Sunday)
June 22 (Saturday)
June 23 (Sunday)
June 29 (Saturday)
June 30 (Sunday)
July 6 (Saturday)
July 7 (Sunday)
July 13 (Saturday)
Pre-work
4-6 hours
Before each weekend, there will be a pre-work for students to be ready to understand the concepts - either in form of pre-recorded video or pre-reading of articles.
Capstone project
1 hours per week
Use 1 hour weekly to prepare your project which you can demonstrate to your peers, bosses and the world.
Introduction to Generative AI
Grab front row seats to the artificial intelligence event that's shaping the future.
Generative AI represents a seismic shift - technology that can create brand new content, designs, and insights instead of just analyzing data.
This book takes you on an engaging tour of the breakthroughs in machine learning fueling this revolution. ChatGPT, Claude and DALL-E are just the beginning. Through fun examples and clear explanations, you’ll learn how generative models work . You’ll see the technology applied across industries like healthcare, finance and more.
Get this free resource
Learning is better with cohorts
Go beyond the basics
Learning about AI for your real project is more important than theory of it.
Real world experience
I live with the content I am presenting everyday. Real world experience is coming from my own work at my current job - I am not an instructor or consultant.
Don't go it alone
Leadership is less lonely with a supportive community of peers.
You will also join a peer community after the course for life long journey.