AI for Software Developers
Take your AI skills to the next level with hands-on labs, cutting-edge techniques, and advanced prompt engineering strategies.
Contact Us for Incompany Training
Our in-company training programs are fully customizable to meet your organization’s unique needs. Reach out to discuss how we can help your team grow.
Contact our teamWhat will you learn?
In this course, you will dive deep into Generative AI and its applications, exploring cutting-edge techniques like Retrieval-Augmented Generation (RAG) and advanced prompt engineering. You will learn how to deploy AI models effectively, benchmark their performance, and integrate them into business applications. Hands-on labs will solidify your understanding as you build practical solutions, address biases, and master tools like PyTorch, Hugging Face, and LangChain. By the end, you will be equipped to create AI-driven systems that transform data into intelligent, actionable insights.
Key takeaways
- Master Generative AI concepts and applications.
- Build and deploy AI models with CI practices.
- Explore advanced prompt engineering techniques.
- Address bias and monitor AI performance effectively.
- Gain hands-on experience with AI tools and frameworks.
Program
- Introduction to GenAI: Understand the role of AI in decision-making, explore key ML, DL, and NLP concepts, and discover tools like BERT and GPT. Learn to apply these techniques to real-world scenarios and frameworks.
- Getting started with LLMs: Learn how Large Language Models (LLMs) work and how to design effective prompts. Dive into RAG, grounding, and LLM deployment options on platforms like Azure and GCP.
- AI Deployment: Master benchmarking and CI techniques for AI models. Explore real-world case studies, tools, and best practices for integrating AI into business workflows.
- Advanced Prompt Engineering: Discover techniques like ReAct, automatic prompting, agentic reasoning, and Tree-of-Thoughts. Practical labs will help you implement these strategies effectively.
Who is it for?
This course is perfect for developers, data scientists, and tech enthusiasts with a foundational understanding of Python, machine learning, deep learning, and NLP. If you are ready to level up your AI skills and create impactful solutions, this is for you!
Requirements
Basic programming knowledge in Python.
Familiarity with ML, DL, and NLP concepts.
Why should I do this training?
Learn from experts
Gain skills with the latest AI techniques.
Hands-on labs
Build real-world AI solutions.
Boost your career
Master skills in high demand.
What does it look like?
What else
should I know?
After registering, you will receive a confirmation email with practical information.
See you soon!
Course information
Available remotely or in-person
Includes practical lab sessions
Hands-on exercises with real repositories
Access to industry-standard tools and platforms
Designed for professionals and AI enthusiasts
Fully online or hybrid learning options available
