Sridhar Jammalamadaka - Future Proof India 

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Lisez les avis des autres

Noté 5 sur 5 étoiles

I am really enjoying my learning journey with Sridhar J. He explains things in a simple and practical way, which makes it much easier to understand and actually try things myself. His guidance has he... Voir plus

Noté 5 sur 5 étoiles

There's no trainer like Sridhar sharing how to build AI agents block by block. Its amazing journey with Sridhar. I strongly recommend whoever is looking for a starting path to Agentic AI career to pur... Voir plus

Noté 4 sur 5 étoiles

Attended the 1-day workshop on Agentic AI. Fundamentals, AI agents, Vibe coding, MCP and agentic AI evolutions and use cases are clearly explained with quick handson. This session is very insightful... Voir plus

L'entreprise a répondu

Noté 5 sur 5 étoiles

His workshop was well paced and with right amount of data. Though being a total novice in AI, coding, i was able to get a jist of agentic ai and its application. Brief hands on skills was well explain... Voir plus

À propos de l'entreprise

  1. Institut de formation en logiciels

Écrit par l'entreprise

Sridhar Jammalamadaka is the founder of the Future Proof India, a vibrant community of aspiring AI Tech Leaders. He is on a mission to help IT Professionals future proof their career with AI.


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Violation des conditions d'utilisation

Tous les avis

(169)

155 avis reçus au cours des 12 derniers mois

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Noté 5 sur 5 étoiles

The hackathon mission was an…

The hackathon mission was an exceptionally well-designed learning experience that successfully combined practical coding, guided exploration, and real-world application development. The step-by-step structure made the journey easy to follow, even while introducing advanced concepts such as OpenAI APIs, LangChain, prompt templates, streaming, structured outputs, LCEL chains, and Gradio-based application development.

One of the strongest aspects of the mission was its focus on learning by doing. Instead of limiting participants to theory, every concept was reinforced through executable Python programs. Running each file, observing the output, and then creating domain-specific variations helped strengthen both technical understanding and confidence. The inclusion of examples from data engineering, telecom BSS, and information security made the mission highly relevant to real business scenarios.

The progression from environment setup to the final capstone project was logical and motivating. Each stage built naturally on the previous one, allowing participants to understand how individual LLM capabilities can be combined into a complete application. The final Gradio-based capstone was especially valuable because it demonstrated how to transform backend AI logic into an interactive, user-friendly solution.

The supporting setup guide and cheatsheet were also very useful. They reduced confusion, provided quick references, and helped participants remain focused on implementation. The mission encouraged experimentation with temperature, roles, message history, frameworks, and structured responses, which are essential skills for building reliable AI applications.

Overall, this hackathon mission was practical, engaging, and thoughtfully organized. It gave participants a strong foundation in modern LLM application development while also inspiring creativity and domain-specific innovation. I truly appreciate the effort invested in designing such a comprehensive learning journey. It was not only educational but also empowering, and it has significantly increased my confidence in building AI-powered applications independently. The clear instructions, expected outputs, and incremental challenges created a balance of guidance, practice, ownership, and achievement throughout.

1 août 2026
Avis spontané
Noté 3 sur 5 étoiles

I found it difficult to integrate with…

I found it difficult to integrate with project reason being I am non technical working on python and Google colab finding it difficult to comprehend , but I am eager to learn the AI Agentic , I was expecting that would come with a very easy and simple way to deal with all these things.

12 juillet 2026
Avis spontané
Noté 5 sur 5 étoiles

Simple and Well Explained

Very Simply Explained Complex Concepts esp for a NonTech Person like me.I Understood all The Terms and Definitions and it's very Thrilling to know All this .Tnx to Sridhar for Boosting My Confidence 🙏🙏👍💯

12 juillet 2026
Avis spontané
Noté 5 sur 5 étoiles

An Excellent Workshop

His workshop was well paced and with right amount of data. Though being a total novice in AI, coding, i was able to get a jist of agentic ai and its application. Brief hands on skills was well explained and i enjoyed developing an ai agent. Not much time wasted on advertising his paid course hence 99% time was focussed on the topic of agentic ai. Overall and excellent workshop to get an overview of agentic ai for all. Thanks

5 juillet 2026
Avis spontané
Noté 5 sur 5 étoiles

Value for time n money

Sidhar is seasoned professional trainer who understands pulse of the students and make sure he delivers it well. His work shop is great for the students who want to learn it from scratch and reach to intermediate / master level. He teaches the basic approach to understands requirement and how to transform to agentic solution and delivery. This workshop is value for money and worth spending time n effort to learn new technologies which is needed in IT sector today.

28 juin 2026
Avis spontané
Noté 5 sur 5 étoiles

Today

Today, in the Python and vibe coding class, as a non-tech, I gained confidence in how easy it is to code with the help of vibe coding.

2 juillet 2026
Avis spontané
Noté 5 sur 5 étoiles

Today

Today, I learnt the basics of Python for AI. A very good session by Sridhar Jammalamadaka.

2 juillet 2026
Avis spontané
Noté 5 sur 5 étoiles

Productionize AI Agent

Todays topic was most important to deploy or productionize the agent. Most crucial step of our learnings. Sridhar sir explained it so well, looking forward to learn the implementation in upcoming hackathon.

30 juin 2026
Avis spontané

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