Expert Tech Trainers Needed

@Microlent

Advanced programs like this often get reduced to theory, but for experienced audiences the real value comes from production-grade patterns, real datasets, and hands-on labs that mirror real systems. I’ve delivered similar advanced sessions where the focus was architecture decisions, performance trade-offs, and real-world implementation, not just slides. I can cover: Java / Python Fullstack → scalable backend design, APIs, async processing, deployment Data Engineering → pipelines (batch + streaming), Spark, data modeling, orchestration Generative AI / Agentic AI → prompt engineering, LangChain, agents, RAG, evaluation, safety .NET Fullstack → enterprise architecture, APIs, performance tuning, integrations Training approach: Code-first sessions (minimal slides, maximum hands-on) Real-world case studies (scaling, failures, optimization) Git-based labs + reusable project templates Focus on debugging, performance, and production readiness I can provide: Curriculum deck + lab guides + code repos (2 weeks prior) Interactive delivery (on-site Bangalore / hybrid / remote) Post-session support + performance feedback report Comfortable with mid to senior engineers and keeping sessions practical and engaging. For background and work: https://www.freelancer.com/u/Microlent Happy to share a sample curriculum and align on dates quickly. — Rajesh Rolen

@hr157

I deliver advanced, hands-on bootcamps for experienced developers across Java/Python/.NET fullstack, Data Engineering, and Generative AI. My sessions focus on real-world architecture, scalable coding practices, DevOps pipelines, and performance tuning. For AI tracks, I cover prompt engineering, LangChain/agent frameworks, RAG pipelines, and responsible LLM deployment. I provide structured curriculum decks, Git-based labs, and sandbox environments with production-like scenarios. Comfortable with 15–30 participants, on-site in Bangalore or hybrid delivery. Materials shared 2 weeks prior, plus post-session support and performance reports. 7+ years training and building systems. Let’s connect to lock schedules and share demos.

@sumitwebrainbows

As a highly skilled and experienced .NET Developer with more than 14 years of experience, I am confident that I can deliver the technical training you require for your advanced bootcamps in Bangalore. My proficiency in building scalable web applications, reliable software, and cross-platform apps using AI integration aligns perfectly with your needs for Java Fullstack, Python Fullstack, Data Engineering, Generative AI & Agentic AI, and .NET Fullstack. Moreover, I have extensive knowledge of DevOps, CI/CD pipelines, Azure, AWS which is crucial for this project and can bring depth into topics like production-grade coding practices and DevOps integration. I have also mastered SQL Server and MongoDB -required for Data Engineering part. In addition to my technical expertise, I possess strong problem-solving skills coupled with the ability to deliver detailed curriculum deck,labs guides,sample datasets/code two weeks prior to class- as per first acceptance criteria. I can also handle a sizable class size without compromising on individual attention. So if you are looking for hands-on teaching that addresses audience queries post-session then you have certainly found the right fit! Looking forward to discussing how we can exceed your expectations in delivering these advanced-level courses.

@indreshpnk

Hello, I understand you need expert trainers to deliver advanced, hands-on tech courses in Bangalore across Java, Python, Data Engineering, Generative AI, and .NET, focusing on real-world architecture and production-grade practices. The goal is to provide deep, practical, and industry-relevant learning for experienced developers. Here’s what I can provide: End-to-end delivery of advanced bootcamps with real-world projects, architecture design, and performance tuning Structured curriculum with hands-on labs, Git-based exercises, and DevOps + AI integration workflows Optional support with reusable courseware, sandbox setups, and post-session Q&A assistance I bring over 4+ years of experience in fullstack development, DevOps, and AI-based systems, with a strong focus on scalable and production-ready solutions. I’ve worked on real-world applications and training-oriented content, ensuring clarity, depth, and practical value. Just to clarify a few things: Do you have a preferred tech stack focus per batch or flexible based on trainer expertise? What is the expected batch size and duration per session? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@hemnehalshah

Hello, I’m interested in contributing as a trainer for your advanced hands-on programs, specifically in Data Engineering and Generative AI tracks. I focus on practical, real-world learning rather than theory. My sessions are designed around building end-to-end workflows, including data pipelines, API integrations, and applied AI use cases such as prompt engineering and basic agent workflows. For a 2–5 day format, I typically structure sessions as: * Day 1: Architecture & fundamentals (quick refresh + real-world context) * Day 2–3: Hands-on labs (data pipelines / API-based AI apps) * Day 4–5: Project-based implementation + optimization + deployment basics I can provide: * Structured lab exercises (Git-based) * Real-world datasets and guided projects * Step-by-step explanations for clarity I’m comfortable delivering sessions virtually and can adapt to hybrid formats if required. I’d be happy to share a more detailed curriculum outline based on your preferred track. Regards, Hem

@shokoufeh1994

I deliver advanced hands-on training in Python, Data Engineering, LangChain, and Generative AI for teams already comfortable with fundamentals. My sessions are project-driven — each module ends with a working prototype or sandbox deployment participants can take away. I'm comfortable with on-site in Bangalore, streaming, or hybrid delivery, and I provide structured lab guides, code walkthroughs, and post-session Q&A. Which stack is the priority for the upcoming cohort — Python fullstack, LangChain agent pipelines, or MLOps/GenOps tooling?

@nk4Hire

Can design and teach and train Java fullstack and SQL and Python fullsatck (Django/Flask/FastAPI/Tornado) and version control system (git/svn) . Can teach unix/posix operating systems administration (linux with openrc/s6/runit/sysvinit or FreeBSD or NetBSD or OpenBSD)

@Shonali1406

Hi, I’m a senior technical trainer with 8+ years of experience delivering advanced bootcamps and corporate upskilling programs across Fullstack, Data Engineering, and Generative AI. I focus on real-world architecture, production-grade coding, and hands-on labs that deliver immediate value. I can conduct sessions on-site in Bangalore, hybrid, or virtual, and I’m available in the coming quarter including weekends. Skills & Deliverables: • Java, Python, .NET Fullstack training • Data Engineering & DevOps integration • Generative AI, LangChain & Agentic AI modules • Hands-on labs, Git-based exercises, datasets • Curriculum deck + lab guides (pre-delivery) • Post-session Q&A + performance report Outline (2–5 Days): • Architecture patterns & system design • Scalable APIs & microservices • CI/CD, Docker, cloud deployment • LLMs, prompt engineering, agents Let’s connect to share demos and finalize schedule & pricing.

@noman2k6eee

Dear Hiring Manager, Greetings! I can do the job. Please look at my profile. Lets start working. Sincerely Md Manirul Alam Khan

@ShreeJiCoding

I’d love to lead these advanced bootcamps in Bangalore. With 7+ years as a full-stack engineer, I’ve delivered hands-on corporate trainings and mentored developers on production-grade systems across Java, Python, and modern web stacks. Coverage & Approach My sessions are highly practical—focused on real-world architecture, clean code, and deployment pipelines. • Java/Python Fullstack: Microservices (Spring Boot/FastAPI), REST design, auth (JWT/OAuth2), DB design, caching, observability, CI/CD. • Data Engineering: ETL pipelines, Kafka, batch vs streaming, data modeling, performance tuning. • GenAI & Agentic AI: Prompt engineering, LangChain/agents, RAG pipelines, fine-tuning basics, evaluation, responsible AI. • .NET Fullstack: APIs, layered architecture, integration patterns, deployment. Format (2–5 days) Each day blends architecture deep-dives + guided labs (Git-based repos, real datasets, deployable services). Participants build end-to-end systems (API → DB → UI → CI/CD → cloud-ready). Materials I provide structured curriculum decks, lab guides, starter/solution repos, and sandbox setups (Docker-based for consistency). Delivery Available for on-site in Bangalore, hybrid, or virtual. Flexible scheduling over the next quarter. I’ll share sample content and demo recordings on request. Ready to align quickly and lock dates.