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We are very serious about gamifying your learning as we did with 380 students
At KactLabs we gamify your learning
Master GenAI through academic rigor with mandatory ArXiv paper publications. Transform from learner to researcher while building industry-relevant skills in cutting-edge AI technologies.
Work hands-on with OpenAI, Claude, Gemini, and Llama models. Gain practical experience across diverse AI platforms and learn to choose the right model for specific use cases.
Build production-ready AI applications using Qdrant, Weaviate, FAISS, and Chroma. Learn semantic search, RAG systems, and knowledge base development for real-world GenAI solutions.
Implement sophisticated multi-agent systems using MCP protocols. Design collaborative AI workflows where agents communicate, delegate tasks, and solve complex problems together.
Create culturally relevant AI solutions using Kollywood and cricket datasets. Learn to build AI systems that understand and generate content in regional contexts and languages.
Compete for the ₹3,000-₹5,000 outstanding performer prize each cohort. Showcase your GenAI innovations and get recognized for exceptional research contributions and project excellence.
1-on-1 Mock Interviews with Industry Experts
Lifetime access to community
Live online classes and Lifetime Access to Recorded Sessions
Placement Assistance Includes, Resume LinkedIn
Weekly Credits
ArXiv Research Paper Publication
Outstanding Performer Prize ₹3K-₹5K
Certificate
Hear directly from our graduates about their transformative journey
DevOps Engineer & Team Lead
TacLabs AlumniSoftware Engineer
TacLabs AlumniFull Stack Developer
TacLabs AlumniYou will be guided to submit your research paper on ArXiv. Here are some of our published works:
Join our GenAI bootcamp and get personalized guidance to publish your own research papers on ArXiv
Start your journey into GenAI engineering. Understand the key concepts and tools used in the industry. Gain a comprehensive overview of AI and machine learning technologies. Set the stage for advanced learning and practical application. Lay a strong foundation for your GenAI career.
Dive deep into Large Language Models including OpenAI GPT series, Claude (Anthropic), Gemini (Google), and Llama Family (Meta). Understand model architectures, training processes, and capabilities. Learn prompt engineering, fine-tuning techniques, and model selection strategies for different use cases.
Master the complete LangChain ecosystem including LangChain core framework, LangGraph for graph-based workflows, LangFuse for observability and analytics, and LangSmith for development and debugging. Build complex AI applications with chain-of-thought reasoning and multi-step workflows.
Master vector databases including Qdrant, Weaviate, FAISS, Milvus, and Chroma for AI-native applications. Learn embedding techniques, similarity search, and retrieval-augmented generation (RAG). Implement semantic search, document retrieval, and knowledge base systems for GenAI applications.
Learn Model Context Protocol for standardized AI model communication and Agent-to-Agent (A2A) communication patterns. Implement multi-agent systems, orchestrate complex workflows, and build collaborative AI applications. Master inter-agent messaging, task delegation, and distributed AI processing.
Master local LLM deployment using Ollama for privacy-focused and cost-effective AI applications. Learn model quantization, optimization techniques, and hardware requirements. Implement offline AI capabilities, custom model fine-tuning, and edge deployment strategies for production environments.
Master the HuggingFace ecosystem for model deployment, sharing, and collaboration. Learn to use Transformers library, Datasets, and Spaces for building and deploying AI applications. Implement model fine-tuning, dataset preparation, and community collaboration through the HuggingFace platform.
Master multiple database technologies including MongoDB, PostgreSQL with SQLAlchemy and Alembic, Supabase, and SQLiteDB. Learn to design data architectures for AI applications, implement database migrations, and optimize queries for large-scale GenAI systems with proper data modeling.
Master workflow orchestration using Prefect and background job processing with Dramatiq for scalable GenAI applications. Learn to design complex AI pipelines, handle asynchronous tasks, and implement distributed processing systems for production-grade AI workflows.
Master interactive development environments using Notebook LLM for AI experimentation and PyNotes for technical documentation. Learn to create reproducible research notebooks, document AI experiments, and build interactive AI prototypes using modern notebook-based development workflows.
Explore alternative GenAI frameworks beyond LangChain, focusing on Haystack NLP pipeline framework. Learn to build production-ready NLP applications, implement custom components, and compare different framework approaches for various GenAI use cases and requirements.
Complete your GenAI journey by publishing 1-3 research papers on ArXiv and building a comprehensive portfolio. Learn academic writing, research methodologies, and publication processes. Create projects for GitHub, GitBook documentation, Google Colab notebooks, and HuggingFace model sharing to showcase your expertise.
Canada's education system is globally recognized for its emphasis on research, innovation, and practical application. Our founder experienced firsthand the rigorous academic standards and cutting-edge AI research facilities that Canadian universities are renowned for worldwide.
Canadian institutions lead in AI research with world-class labs, government funding, and industry partnerships. The collaborative learning environment, focus on critical thinking, and exposure to diverse global perspectives shaped a comprehensive understanding of GenAI technologies and their real-world applications.
This Canadian educational foundation, combined with hands-on industry experience, brings international standards to Indian students. We're committed to delivering the same quality of education and practical approach that makes Canadian tech graduates highly sought after globally.
Measurable achievements that showcase our global reach and research excellence
We use these tools/tech/libs to share
I joined KactLabs as an intern and got an incredible leadership opportunity from Rajesh sir. I
was able to maintain an intern team of 20+ members, learning how to delegate tasks and
communicate professionally. The hackathons with small groups helped determine our strengths, and
I discovered my passion for leadership and DevOps. This experience shaped my entire career path
and gave me confidence to lead technical teams.
The mentorship I received was exceptional - Raja sir didn't just teach us technical skills, but
also how to think strategically about technology solutions. We worked on real-world projects
that had actual business impact, not just theoretical exercises. The collaborative environment
fostered innovation, and I learned to balance technical excellence with team management.
The research-oriented projects at KactLabs were game-changing! I worked extensively with emerging technologies like Kubernetes, Docker, and Service Mesh. Raja sir had incredible insights about the future of tech.
KactLabs completely paid for my AWS Cloud Practitioner certification exam! When I passed, Raja sir encouraged me to aim higher and offered to sponsor my AWS Solutions Architect exam too. This level of investment in students' growth is incredible. What amazed me most was how they didn't just pay for the exams - they provided comprehensive study materials, practice tests, and dedicated mentoring sessions. Raja sir personally reviewed my weak areas and created custom learning paths. The hands-on labs they set up with real AWS environments gave me practical experience that went far beyond what any book could teach. After passing both certifications, they connected me with their alumni network at major tech companies.
I joined 2020's TactLabs 500 hours graduation program along with internship in Python, Flask and
FastAPI. This intensive program was a complete game-changer for my career trajectory. The
curriculum was meticulously designed to cover not just the basics, but advanced concepts in web
development, API design, and database optimization.
The hands-on internship component was invaluable - we worked on real client projects, not just
dummy applications. I built scalable REST APIs using FastAPI, implemented complex authentication
systems, and learned advanced Flask patterns for enterprise applications. The mentors provided
code reviews that taught me industry best practices and clean coding principles.
What set this program apart was the focus on production-ready development. We learned Docker
containerization, CI/CD pipelines, database migrations with Alembic, and performance
optimization techniques. The 500 hours flew by because every session was packed with practical,
immediately applicable knowledge.
The Python + FastAPI framework training at KactLabs was absolutely transformative! I learned to build high-performance REST APIs from scratch, implementing advanced features like async/await patterns, dependency injection, and automatic API documentation with OpenAPI.
The industrial-strength GenAI training was exactly what I needed! Learning production-grade deployment with Docker, Kubernetes, and enterprise security prepared me for real-world challenges. The MCP protocols and agent-to-agent communication projects were cutting-edge.
The gamified learning approach at KactLabs made complex GenAI concepts incredibly engaging. Building AI models that understand Tamil cinema and cricket analytics was both fun and educational. The research paper publication guidance helped me contribute to the academic community while developing practical skills that landed me my dream job.
Things I have learned from Featurepreneur helped me to get a job in Collins Aerospace. The program's focus on feature engineering and product development gave me a unique perspective on how to build scalable solutions that directly impact business outcomes.
Trained
Our Students work in
Highest CTC
SE, Greater Bristol Area, UK
🎓 I am thrilled to share that I have officially graduated with Distinction in MSc Advanced Computer Science from Northumbria University! I am deeply grateful to everyone who supported and guided me along the way. #Masters #Graduation
SE, Presidio, India
🌟 Grateful and Honored! 🌟 I'm thrilled to share that I have received Rising Star Award from Presidio. This recognition means so much to me as it reflects not only my efforts but also the incredible support and collaboration of my team and mentor.
GenAI Research Scientist, Toronto
🚀 Excited to announce that our research paper on "Multi-Agent Systems for GenAI Applications" has been accepted at ArXiv! This work was inspired by the cutting-edge curriculum at KactLabs. Grateful for the mentorship and research guidance. #GenAI #Research #ArXiv
AI Product Manager, Microsoft
I never expected this ! For a girl who has never been on the receiving end , this moment feels surreal🤩 Just when I thought I was closing a chapter as a Captain, my students reminded me that some stories never really end. Handling the AWS AI Practitioner certification was more than just teaching it was a journey of embracing challenges, and witnessing incredible transformations. 25+ have already passed, and we are still counting! But today, it’s not about the numbers; it’s about the people.
Complete 80% of the Program and All Assignments and Tasks!
Industrial Strength GenAI Development for Production-Ready Applications.
Deploy and scale LLMs using Docker, Kubernetes, and cloud infrastructure for enterprise-level applications with high availability and performance.
Design and implement complex multi-agent workflows using MCP protocols, handling distributed AI processing and inter-agent communication at scale.
Build high-performance RAG systems with Qdrant, Weaviate, and FAISS, implementing advanced indexing strategies and query optimization for millions of embeddings.
Implement robust security measures, data privacy protocols, and compliance frameworks for GenAI applications in regulated industries.
Build industrial-strength AI pipelines using Prefect and Dramatiq, handling massive data streams, fault tolerance, and automated model retraining workflows.
Implement comprehensive monitoring, logging, and observability for GenAI systems using LangFuse, ensuring optimal performance and reliability in production environments.
Top Performing Students, Will be eligible for an 3 Month Internship.
Outstanding performers from our GenAI bootcamp will be eligible for a 3-month research internship. During this internship, you will contribute to cutting-edge GenAI research projects, working on real-world AI applications that push the boundaries of current technology. You will collaborate with our Canadian-educated AI experts and research team throughout this journey.
You will gain invaluable research experience by contributing to ArXiv publications, developing novel AI solutions, and working with state-of-the-art GenAI frameworks. Based on your research contributions and performance, exceptional interns may receive recommendations for AI research positions at leading tech companies and research institutions.
Experience our unique Canadian-inspired gamified learning approach that transforms complex GenAI concepts into engaging challenges. Our proprietary methodology combines competitive elements, achievement systems, and interactive projects to keep you motivated throughout your AI journey.
KactLabs GenAI Program is an invite-only 3-month immersive cohort-based program with a lifelong community to help you achieve your goals.
Our team will get on a call with you to solve all your doubts related to the GenAI BootCamp.
Pre-book your slot. We take only 4-8 candidates per batch with limited seating.
After pre-booking, an entry-level test will be conducted. Based on your results, you will move to the next step.
Once you clear the entry-level test, an entry kit will be sent to your address as a welcoming sign from KactLabs
When the batch starts, you will get access to tutorials, the community, and your mentors. You can start learning immediately.
Live sessions will be conducted by respective mentors every weekend
Every week, a reward worth 200 to 500 will be given to the top student of that week
As a complimentary, you will get access to a power-packed offline event where you can meet our founder and other top industry professionals.
Online HR sessions will be conducted to prepare your resume, LinkedIn profile, Naukri profile, interview tips, and more
Based on your overall performance over the past 90 days and a further interview process, you will get an internship opportunity.
Upon completing the program, a hard copy of your certificate will be sent to your home.
Even after you get placed in a company, we will stay in touch to support and nurture your growth.
Earn GenAI Engineerg - L1 certifications from KactLabs, validating proficiency in prominent programming languages and frameworks.
(Incl of GST)
Join our GenAI Engineering community for free today and see how our learners actively learn, solve each other's doubts, and much more.
The GenAI Applied Research Bootcamp runs for 3-6 months with a total commitment of 7 hours per week. This includes 3 hours of live classes and 4 hours of assignments and practical work. The flexible duration allows you to progress at your own pace while maintaining quality learning outcomes.
Yes, each cohort is required to publish 1-3 research papers on ArXiv. This is a unique feature of our program that helps you build academic credibility and contribute to the GenAI research community. We provide full guidance and support throughout the research and publication process.
You'll master major LLMs including OpenAI GPT series, Claude (Anthropic), Gemini (Google), and Llama Family (Meta). We cover the complete LangChain ecosystem, vector databases like Qdrant and Weaviate, local deployment with Ollama, and alternative frameworks like Haystack. The curriculum includes 24+ cutting-edge GenAI tools and technologies.
Yes! We select 1 outstanding performer per cohort who receives a prize of ₹3,000 - ₹5,000. Additionally, we're developing a scholarship test program (currently TBD). All participants receive a certificate of completion, and exceptional work gets featured in our community showcases.
Absolutely! The program is designed for working professionals with only 7 hours per week commitment. Classes are scheduled flexibly, and all sessions are recorded for later access. The 3-6 month duration allows you to balance work and learning effectively while building expertise in GenAI.
You'll work with industry-standard platforms including HuggingFace for model deployment, GitHub for code repositories, Google Colab for interactive development, Notebook LLM for AI experimentation, and PyNotes for documentation. We also use GitBook for comprehensive documentation and ArXiv for research publication.
For detailed pricing information including regular fees and student discounts, please email us directly. Group discounts are available - contact us at info@kactii.com for special group pricing. We offer flexible payment options to make the program accessible to serious learners.