B2B: AI for Developer Productivity

10-WEEKS ◦ COHORT-BASED COURSE ◦ REMOTE

Elevate the capability of your engineers with our new advanced AI training. Harness the power of artificial intelligence using agents and multi-agent systems.

Course overview

What your team will get out of this course

  • video

    Automate documentation updates with agents

  • idea

    Use AI for coding suggestions with open source LLMs

  • robot arm

    Master agent-led code reviews and quality checks

  • robot arm

    Gain advanced debugging skills with agents

  • robot arm

    Generate usable code by instructing agents

How the course is structured

  • The course has 5 sprints, each two weeks long.
  • In every sprint, there's live instruction on Zoom and a guided project.
  • You'll build a fully-functional agent in each sprint.

A week in the life

Designed for busy professionals, our course includes two live 1-hour classes per week with an optional office hours every week.

Weekly Schedule

  • 2 Live Classes: 1-1.5 hrs each
  • Office Hours: 1-1.5 hours (optional)
  • Outside Class: 2-3 hours on projects (recommended)

This course includes

  • video

    Interactive live lessons online

  • idea

    Guided feedback and reflection

  • robot arm

    5 AI projects to apply learnings

  • teacher

    Direct access to an instructor

  • community

    Private community of peers

  • grad

    Certificate upon completion

What your team will learn

Fundamentals of LLMs

OpenAI ◦ Mistral ◦ Anthropic

  • System vs. user prompts: Differentiating LLM inputs.
  • Choosing the right LLM: Guide to selecting suitable LLMs.
  • Prompt engineering: Strategies for effective prompt design.

Fundamentals of AI-Powered Apps

LangChain ◦ Pinecone

  • Fundamental chaining: Basic chaining techniques and strategies.
  • Vector embeddings: Enhancing AI with vector embeddings.
  • RAG: Combining retrieval with generative models.

Fine-tuning

Ollama ◦ OpenAI

  • Fine-tuning vs. RAG: Techniques for AI model adjustment.
  • Open source LLMs: Exploring open-source LLM benefits.
  • Fine-tuning open source LLMs: Training LLMs for specific tasks.

Performance and Maintenance

LangSmith

  • Building performative AI apps: Creating task-specific AI apps.
  • Connecting to dev workflows: Integrating AI with dev workflows.
  • Advanced chaining: Complex chaining techniques and strategies.

Designing and Building Agents

LangChain

  • Designing Agents: Key strategies for agent design.
  • Creating and using tools: Developing tools for agent objectives.
  • ReAct framework: Agent goal achievement.

Training and Deploying Agents

AWS

  • Deploying agents: Strategies for real-world agent deployment.
  • Communication, Monitoring, and Iteration: Enhancing agent performance.
  • Training agents: Moderating automated workflows.

Multi-Agent Systems

LangGraph ◦ CrewAI

  • Multi-Agent Systems: Solving problems with multi-agent systems.
  • Agent decision making: Decision making with LangGraph.
  • Performance and scalability: Considerations for future iteration.

Build agents in every project

What are AI agents

  • Intelligent software programs designed to perform tasks autonomously.
  • They make decisions and execute actions with minimal intervention.
  • Agents continually adapt and learn to optimize their performance.

Tech Writer

technical writer

Coder

coder

QA Tester

tester

Architect

architect

Who is this course for

one

Software engineers and developers

two

Engineering leaders and managers

three

Data scientists and ML engineers

Why build agents over using generic tools

There's an AI gold rush unfolding, and it's essential for every business to develop custom solutions to stay ahead.

Where you are

  • Generating code with GitHub copilot
  • Creating simple OpenAI API wrappers
  • Processing documents with ChatGPT
  • Building prompt libraries

What we'll teach you

  • Developing code review agents
  • Automating technical doc updates
  • Implementing accurate code generation
  • Building multi-agent systems

Unlike generic off-the-shelf tools, custom AI solutions are tailored to your unique needs, giving you full ownership.

Custom AI apps are

  • ✅ Tailored to your specific needs

  • ✅ Made to seamlessly integrate in your ecosystem

  • ✅ Designed to give you a competitive advantage

  • ✅ Built with scalability and flexibility in mind

  • ✅ Cost-effective compared to generic solutions

  • ✅ Meant to give you full ownership and control

Any Questions?

Who is this course designed for?
Who can signup?
How much does the course cost?
What are the prerequisites for this course?
Is access to high-performance computing resources necessary for students to fully benefit from the course?
How long is the course, and what is the time commitment?
Apart from attending lectures, how much additional time should students allocate to maximizing their learning experience in the course?
What programming languages will be used in the course?
How will the course be delivered?
How will this course benefit my organization?
Will I receive a certificate upon completing the course?
What support will be available during the course?
Given the rapid advancements in AI technology, how does the course ensure that the tools and techniques taught remain relevant?
BloomTech

AI for Developer Productivity

Next Cohort 

  • May 20-Aug 2
$5000
Inquire now