Pankaj's profile, diploma and contact details have been verified by our experts
Pankaj
- Rate 176 GHS
- Response 1h
-
Students22
Number of students Pankaj has accompanied since arriving at Superprof
Number of students Pankaj has accompanied since arriving at Superprof
176 GHS/hr
Contact
- ChatGPT
- Prompt Engineering
The Complete Generative AI & Agentic AI Engineering Program: Build Production-Ready AI Systems with LLMs, RAG, Agents, and Modern AI Frameworks
- ChatGPT
- Prompt Engineering
Lesson location
Super Prof
Pankaj is one of our best Chatgpt tutors. They have a high-quality profile, verified qualifications, a quick response time, and great reviews from students!
About Pankaj
Hi, I'm Pankaj, an AI Engineer and Data Scientist with nearly 6 years of experience designing, developing, and deploying intelligent AI systems across enterprise environments.
Over the years, I have worked extensively in Machine Learning, Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Knowledge Graphs, and AI-powered automation. My professional journey spans organizations such as AMEX , EXL, ITC Infotech, LTIMindtree, and other technology-driven enterprises, where I have built scalable AI solutions that solve real-world business challenges.
Currently, I work as a Data Scientist and GenAI Engineer, focusing on the development of production-grade AI applications powered by LLMs, RAG pipelines, AI agents, and modern AI orchestration frameworks.
Areas of Expertise
AI Engineering and Production AI Systems
Generative AI (GenAI)
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Agentic AI and Multi-Agent Systems
AI System Design and Architecture
Knowledge Graphs and Enterprise Search
Fine-Tuning LLMs (LoRA, QLoRA, PEFT)
LangChain, LangGraph, and MCP
Machine Learning and Deep Learning
Natural Language Processing (NLP)
MLOps, CI/CD, and AI Deployment
Python-Based AI Development
Industry Experience
Data Scientist & GenAI Engineer | ITC Infotech
Designed and deployed enterprise-grade GenAI applications.
Built RAG-based knowledge assistants for domain-specific use cases.
Developed AI systems integrating LLMs, vector databases, and knowledge graphs.
Fine-tuned large language models using LoRA, QLoRA, and PEFT techniques.
Collaborated with cross-functional teams to deliver scalable AI solutions in production environments.
Machine Learning Engineer | LTIMindtree
Developed machine learning and deep learning solutions for enterprise clients.
Built data-driven applications using Python, SQL, Flask, and cloud technologies.
Automated workflows through CI/CD pipelines and production-grade software engineering practices.
Worked extensively on text analytics, predictive modeling, and intelligent automation systems.
Real-World AI Projects
Throughout my career, I have built and deployed numerous AI solutions, including:
Enterprise RAG Systems
AI Research Assistants
Multi-Agent AI Workflows
Knowledge Graph Powered Applications
Automated Pull Request Review Agents
AI Fitness Coaching Systems with Long-Term Memory
AI-Powered Interview Automation Platforms
Document Intelligence and Enterprise Search Solutions
LLM Fine-Tuning and Evaluation Frameworks
MCP (Model Context Protocol) Servers and Clients
What You'll Gain From This Course
This course is designed to bridge the gap between AI theory and real-world implementation. Rather than focusing solely on prompts, you'll learn how modern AI systems are built end-to-end—from LLM fundamentals and RAG pipelines to autonomous AI agents, multi-agent architectures, evaluation frameworks, deployment strategies, and production best practices.
Whether you're a Software Engineer, Data Scientist, ML Engineer, or AI enthusiast, this course will provide the practical skills needed to build modern Generative AI and Agentic AI applications used in today's industry.
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About the lesson
- Primary school
- Junior high school
- SHS 1
- +20
levels :
Primary school
Junior high school
SHS 1
SHS 2
SHS 3
BTS
University education
Adult Education
Facultate (Licență)
Master's degree
Higher national diploma
Doctor of philosophy
Other
GDL
Qualified Lawyer Transfer Scheme
MBA
Pre school
Beginner
Intermediate
Advanced
Professionel
Others
Child
- English
All languages in which the lesson is available :
English
This comprehensive program is designed to take you from the fundamentals of Generative AI to building sophisticated Agentic AI systems used in real-world enterprise environments. You'll learn how to design, develop, evaluate, and deploy production-grade AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Multi-Agent Systems, Knowledge Graphs, and modern AI engineering frameworks.
Unlike courses that focus only on prompting, this program emphasizes practical AI Engineering skills, helping you understand how modern AI systems are architected, orchestrated, monitored, and deployed at scale.
By working through hands-on projects, real-world case studies, and industry best practices, you'll gain the expertise needed to build intelligent assistants, autonomous agents, enterprise search systems, AI copilots, and end-to-end GenAI applications.
What You Will Learn:
Foundations of Generative AI and Large Language Models (LLMs)
Prompt Engineering and LLM Optimization Techniques
Embeddings and Vector Databases
Semantic Search and Information Retrieval
Retrieval-Augmented Generation (RAG)
Advanced RAG Architectures and Evaluation
AI Agents and Agentic AI Design Patterns
Multi-Agent Systems and Agent Orchestration
Tool Calling and Function Calling
Long-Term Memory and Context Management
Knowledge Graphs for AI Applications
LangChain, LangGraph, and Modern Agent Frameworks
Model Context Protocol (MCP)
AI System Design and Scalable Architectures
LLM Evaluation, Guardrails, and Observability
MLOps and AI Application Deployment
Building Enterprise-Ready AI Solutions
Hands-On Projects
Enterprise RAG Assistant
AI Research Agent
Multi-Agent Collaboration System
Autonomous AI Copilot
Document Intelligence Platform
Knowledge Graph-Powered Assistant
Production-Ready AI Agent Platform
End-to-End GenAI Application Deployment
Ideal For:
Software Engineers
AI Engineers
Machine Learning Engineers
Data Scientists
Solution Architects
Backend Engineers
Technical Leads
Professionals transitioning into Generative AI and Agentic AI roles
Outcome
By the end of this program, you will possess the practical AI Engineering skills required to build, evaluate, deploy, and scale modern Generative AI and Agentic AI applications, preparing you for roles such as AI Engineer, GenAI Engineer, Agentic AI Engineer, Applied AI Engineer, AI Solutions Architect, and AI Technical Lead.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
4
I know this guy from the college days he is so versatile and hard-working that I can't even explain. We did work on some projects and it was a very good experience.
Thanks PankajPankaj is a teacher with really awesome teaching techniques, and he is always supportive towards his students. He makes the learning process so easy by linking them to the real life examples and scenario, and making students to indulge themselves in that scenario.
He has a lot of knowledge about data science, coding and other computer related knowledge . and very good to communicate with others and he has idea to give proper information to others.
Pankaj is a very good teacher when it comes to programming languages. I know when he was a student. He teaches the basic concepts behind the working. Starts from the fundamentals and build the knowledge. this is psychologically proven to be the best learning methodology. Anybody can trust him any day.
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Rates
Rate
- 176 GHS
Pack prices
- 5h: 822 GHS
- 10h: 1,408 GHS
online
- GHS200/h
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