Credentials & Certifications
A comprehensive list of my professional specializations - certifications - and courses.
Core Specializations
Building AI Agents and Agentic Workflows
The certificate holder has demonstrated expertise in designing agentic AI systems using LangGraph - CrewAI - and AutoGen. This includes implementing memory - conditional reasoning - self-improving agents - and multi-agent workflows for scalable backend solutions.
IBM RAG and Agentic AI
The certificate holder is proficient in building generative AI systems using RAG - LangChain - and multi-agent frameworks. This includes designing prompts - orchestrating tools via function calling - and constructing autonomous and collaborative agents for complex problem-solving.
Kubernetes and Cloud Native Associate
The certificate holder has successfully demonstrated a foundational understanding of Kubernetes and the cloud-native ecosystem. This includes container orchestration - Kubernetes architecture - application lifecycle management - observability - telemetry - and cloud-native security principles. Verified under Certificate ID: LF-7s8pdqbvst.
Professional Certifications & Courses
Kubernetes and Cloud Native Essentials
UX Writing & Content Design
NESTJS MICROSERVICES: BUILD & DEPLOY A SCALEABLE BACKEND
ADVANCED DATA MANIPULATION IN SQL
INTERMEDIATE SQL
JOINING DATA IN SQL
AUTOMATE DEVELOPMENT TASK BY USING GITHUB ACTIONS
FUNDAMENTAL AI CONCEPTS
The Ultimate Docker Course
The Ultimate Git Course
Additional Specialized Training
Advanced RAG with Vector Databases and Retrievers
Deep dive into advanced Retrieval-Augmented Generation techniques - implementing sophisticated vector search patterns and retriever pipelines.
Agentic AI with LangChain and LangGraph
Learned to orchestrate complex reasoning and action loops using LangChain and LangGraph to build fully autonomous AI agents.
Agentic AI with LangGraph - CrewAI - AutoGen - and BeeAI
Extensive training across top agentic frameworks to build multi-agent systems - collaborative AI workflows - and resilient autonomous architectures.
Build Multimodal Generative AI Applications
Explored techniques for creating generative AI applications capable of understanding and synthesizing diverse data modalities like text and images.
Build RAG Applications: Get Started
Foundational training on creating Retrieval-Augmented Generation applications - focusing on context enrichment and reducing AI hallucinations.
Develop Generative AI Applications: Get Started
Core concepts of Generative AI - encompassing foundation models - ethical considerations - and practical prompt development strategies.
Fundamentals of Building AI Agents
Exploration of fundamental principles behind autonomous agents - including tool usage - memory management - and intelligent decision-making logic.
Generative AI: Prompt Engineering Basics
Mastery of advanced prompt engineering techniques to maximize the accuracy - utility - and safety of Large Language Model outputs.
Vector Databases for RAG: An Introduction
Deep examination of vector storage - embeddings - and similarity search mechanics required to support robust Retrieval-Augmented Generation pipelines.