AI Engineering Professional - NVIDIA Certified - GOMYCODE Kenya: Learn digital skills

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AI Engineering Professional - NVIDIA Certified

Designed for professionals, freelancers, students, and AI enthusiasts, this training helps you develop practical skills in Generative AI and LLM application development. Learn Python fundamentals, build AI applications with LangChain and NVIDIA NIM, create RAG systems and AI Agents, implement safeguards, and deploy applications with user interfaces. Prepare for the NVIDIA DLI “Building RAG Agents with LLMs” certification.

16 weeks

4 Hrs / Week

Online & In-Person

Evening Classes

Trusted By 40,000 Learns

Our Partners

Why This Program, Why Now?

Generative AI Skills Are in Demand. Demand.

Build the Skills to Develop Real-World AI Applications.

Companies need professionals who can build practical applications with large language models (LLMs). RAG architecture appears in 65% of LLM-related job postings, and over 75% of AI roles require specialized skills. Develop the skills to build RAG applications, integrate AI agents, and deploy functional solutions.

65%

LLM-Related Job Postings Mention RAG

RAG architecture appears in 65% of job postings related to LLMs, highlighting the demand for professionals who can build applications that retrieve information and generate relevant responses.

7 Projects

Build a Portfolio That Demonstrates Your Skills

Work on 7 practical projects, including a multi-turn chatbot, an assistant with memory, a long-document analyzer, an AI agent with tools, a FAISS search engine, a RAG application, and a secure deployed application with an interface.

NVIDIA DLI

Validate Your Skills with Certification

Prepare for the NVIDIA DLI “Building RAG Agents with LLMs” certification through hands-on projects and a practical assessment. Demonstrate your ability to build RAG agents using NVIDIA tools.

Build Skills to Develop and Deploy AI Agents.

Learn to develop LLM applications with Python, create RAG systems with LangChain and NVIDIA NIM, integrate agents and external tools, apply safeguards, and deploy applications with user interfaces.

What You'll Gain From This Course

5 Practical Skills You'll Master

Python and Prompt Engineering

Develop LLM-based applications in Python, mastering prompt engineering and prompt composition.

LangChain and NVIDIA NIM

Build processing chains and AI agents with LangChain and NVIDIA NIM to extract structured data and use external tools, including APIs and databases.

RAG Systems

Build RAG systems using document indexing, embeddings, and semantic search to improve the relevance of LLM responses.

An Optimized LLM Application

Deploy and scale microservices with FastAPI while applying ethical AI principles and bias mitigation techniques.

NVIDIA DLI Certification

Earn the NVIDIA DLI “Building RAG Agents with LLMs” certificate by passing a practical assessment.

The Essential Tools

Become a Generative AI & LLMs Expert

Master the Tools of Generative AI Development

Discover the key technologies and frameworks used to build, customize, optimize, and deploy Generative AI applications, from LLMs and RAG to fine-tuning and NVIDIA deployment tools.

Prepare for the NVIDIA DLI Certification

Build the skills to develop LLM applications, create RAG systems and AI agents, and deploy AI solutions. Apply your knowledge through hands-on checkpoints, workshops, individual sessions, and a final practical assessment to prepare for the NVIDIA DLI “Building RAG Agents with LLMs” certification.

Build Practical
AI Engineering Skills

Learn how to develop LLM applications with Python, create RAG systems and AI agents using LangChain and NVIDIA NIM, and deploy reliable AI applications.

Python Fundamentals

Master Python syntax (variables, conditions, loops), data structures (lists, dictionaries, sets, tuples), and functions (lambda, map) in Google Colab.
Read and write files (with NumPy) and learn to diagnose common Python errors.

Understanding LLMs and Their Applications

Prompt Types & LangChain Composition

Chat History & Structured Outputs

Knowledge Extraction & AI Agents

Vector Search System

Retrieval-Augmented Generation

Guardrails & Responsible AI

Deploying LLM Applications

Learn Alongside Passionate Experts

Our trainers are experienced professionals, dedicated guides who share their expertise and passion.

Small class sizes for personalized follow-up:
Integrate small groups (5 to 10 students) and enjoy individualized attention and enriching interactions

Experienced mentors by your side:
Our trainers support and advise you throughout your journey, allowing you to progress quickly and efficiently.

Tailor-made support for each student:
Enjoy personalized follow-up and resources adapted to your needs, for an optimal learning experience.

Why choose GOMYCODE?

Join GOMYCODE, a leader in digital training in Africa, and become part of a dynamic community of future AI builders and developers.

40K

Global Community

Over 40,000 learners trained across Africa and the Middle East

73 %

Real Outcomes

Employment rate upon completion of a GOMYCODE bootcamp

53 %

Career Growth

%53 improved their skills and performance in their current role after training.

10/9.3

Level of Trust

Average rating of our expert instructors

What Our Alumni Think of Our Training

Why they chose GOMYCODE.

GOMYCODE exceeded my expectations as a tech institution. The instructors demonstrate deep knowledge, the curriculum was comprehensive, and the hands-on projects were challenging yet rewarding. The supportive learning environment and career guidance added immense value to my educational journey. A solid four stars!

Thompson
Taverho

GOMYCODE has been an absolute game-changer for me. The instructor is very knowledgeable and supportive and the hands-on projects really helped me apply what I learned. I’ve leveled up my skills and unlocked a whole new world of possibilities.

Modupe
Obamuyi

With no local schools in my area, I chose GOMYCODE to train. Best decision of my life!

Talla
Seydi

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Intensive AI Engineering Professional Training: Build Your Expertise

Master the essential skills to develop LLM applications, build RAG systems and AI agents, and prepare for the NVIDIA DLI “Building RAG Agents with LLMs” certification.

AI Engineering Professional - NVIDIA Certified

16 weeks

4 Hrs / Week

Online & In-Person

Evening Classes

Trusted By 40,000 Learns

Our Partners

Why This Program, Why Now?

Generative AI Skills Are in Demand. Demand.

Build the Skills to Develop Real-World AI Applications.

65%

LLM-Related Job Postings Mention RAG

RAG architecture appears in 65% of job postings related to LLMs, highlighting the demand for professionals who can build applications that retrieve information and generate relevant responses.

7 Projects

Build a Portfolio That Demonstrates Your Skills

Work on 7 practical projects, including a multi-turn chatbot, an assistant with memory, a long-document analyzer, an AI agent with tools, a FAISS search engine, a RAG application, and a secure deployed application with an interface.

NVIDIA DLI

Validate Your Skills with Certification

Prepare for the NVIDIA DLI “Building RAG Agents with LLMs” certification through hands-on projects and a practical assessment. Demonstrate your ability to build RAG agents using NVIDIA tools.

Build Skills to Develop and Deploy AI Agents.

Learn to develop LLM applications with Python, create RAG systems with LangChain and NVIDIA NIM, integrate agents and external tools, apply safeguards, and deploy applications with user interfaces.

What You'll Gain From This Course

5 Practical Skills You'll Master

Python and Prompt Engineering

Develop LLM-based applications in Python, mastering prompt engineering and prompt composition.

LangChain and NVIDIA NIM

Build processing chains and AI agents with LangChain and NVIDIA NIM to extract structured data and use external tools, including APIs and databases.

RAG Systems

Build RAG systems using document indexing, embeddings, and semantic search to improve the relevance of LLM responses.

An Optimized LLM Application

Deploy and scale microservices with FastAPI while applying ethical AI principles and bias mitigation techniques.

NVIDIA DLI Certification

Earn the NVIDIA DLI “Building RAG Agents with LLMs” certificate by passing a practical assessment.

The Essential Tools

Become a Generative AI & LLMs Expert

Master the Tools of Generative AI Development

Prepare for the NVIDIA DLI Certification

Build Practical AI Engineering Skills

Learn how to develop LLM applications with Python, create RAG systems and AI agents using LangChain and NVIDIA NIM, and deploy reliable AI applications.

Python Fundamentals

Master Python syntax (variables, conditions, loops), data structures (lists, dictionaries, sets, tuples), and functions (lambda, map) in Google Colab.

Read and write files (with NumPy) and learn to diagnose common Python errors.

Understanding LLMs and Their Applications

Understand the capabilities and limitations of Llama 3.1 and the role of NVIDIA NIM in accessing and deploying models.

Build your first prompt with LangChain and test it with a local LLM.

Prompt Types & LangChain Composition

Apply prompting techniques and create a summarizer with prompt templates.

Compose chains with Runnables and build a multi-turn chatbot with LCEL.

Chat History & Structured Outputs

Manage conversational context to create a role-based assistant with persistent memory.

Generate structured data with an LLM and build a document-labeling tool.

Knowledge Extraction & AI Agents

Split long documents and build a long-document analyzer.

Design an agent with tools and fallback logic, then a domain-specific assistant.

Vector Search System

Understand embeddings and choose a vector database.

Index a corpus with FAISS and build a search system for PDF, HTML, and text documents.

Retrieval-Augmented Generation

Build a complete RAG pipeline and learn when to choose prompt engineering, RAG, or fine-tuning.

Evaluate the system with dedicated metrics and create a “Chat with your docs” application.

Guardrails & Responsible AI

Identify LLM risks: hallucinations, prompt injection, ethical issues, and security.

Integrate safeguards into an LLM application and test their effectiveness.

Deploying LLM Applications

Create interfaces with Gradio or Streamlit and serve a LangChain agent with LangServe.

Discover packaging with Docker and deploy a RAG or agent application with an interface.

Learn Alongside Passionate Experts

Small class sizes for personalized follow-up: Integrate small groups (5 to 10 students) and enjoy individualized attention and enriching interactions

Experienced mentors by your side: Our trainers support and advise you throughout your journey, allowing you to progress quickly and efficiently.

Tailor-made support for each student: Enjoy personalized follow-up and resources adapted to your needs, for an optimal learning experience.

Why choose GOMYCODE?

Join GOMYCODE, a leader in digital training in Africa, and become part of a dynamic community of future AI builders and developers.

40K

Global Community

Over 40,000 learners trained across Africa and the Middle East

73 %

Real Outcomes

Employment rate upon completion of a GOMYCODE bootcamp

53 %

Career Growth

Build Practical
AI Engineering Skills

Small class sizes for personalized follow-up:
Integrate small groups (5 to 10 students) and enjoy individualized attention and enriching interactions

Experienced mentors by your side:
Our trainers support and advise you throughout your journey, allowing you to progress quickly and efficiently.

Tailor-made support for each student:
Enjoy personalized follow-up and resources adapted to your needs, for an optimal learning experience.

Talla
Seydi

Thompson
Taverho

Modupe
Obamuyi

Talla
Seydi