Rated 4.9/5 by 3,000+ Pros Globally
Our unique hands-on learning methodology helps you master GenAI & Cyber Security skills 100x Faster. Experience pure practical training with real-world projects to accelerate your career growth.
Most bootcamps sell content. We sell competence. We are building something amazing for learners, grounded in 8+ years of industry experience.
Tutorials give you a false sense of competence. We throw you into the deep end with broken code, vague requirements, and real deadlines. You learn to swim by swimming in the deep end.
Get unstuck instantly. Our mentors are industry veterans with 8+ years of experience who don't just teach syntax; they teach architectural thinking and share insights from actual production environments.
Certificates are just paper. GitHub commits are proof. You leave with deployed, live applications that demonstrate your skills better than any resume ever could.
Secure your spot in our instructor-led weekend sprints.
2 Days Live (16 Hrs) + 3 Days Project Work
2 Days Live (16 Hrs) + 3 Days Project Work
Registration Opens Soon2 Days Live (16 Hrs) + 3 Days Project Work
Registration Opens SoonFocused, high-intensity courses designed to take you from zero to deployment in weeks, not months.
Build 5 Real-world RAG apps. Learn Fine-tuning, Vector DBs, and LLM orchestration.
Create autonomous agents using LangGraph and AutoGen. The future of automation.
Automate penetration testing. Write defensive scripts. secure your AI pipelines.
Rated 4.9/5 based on 3,248 reviews on Trustpilot
I've watched 100+ hours of YouTube tutorials on RAG but couldn't deploy one. This workshop changed that. By Day 2, I had a live PDF chat assistant running on AWS. The hands-on approach is unmatched.
The visual explanation of chains and agents was brilliant. I built a multi-step reasoning agent during the project phase. Best investment for my AI career.
I was a Java backend dev for 8 years. This workshop bridged the gap. The Fine-Tuning Llama 2 module helped me crack an interview at a Tier-1 startup. It's intense but practical.
Most AI courses are 80% theory. SprintLearn is 90% coding. We deployed a Vector Database and connected it to GPT-4 in real-time. If you want to actually BUILD things, this is it.
I walked away with 3 GitHub repos. The 'Document QA Bot' project impressed my interviewer because it handled hallucination checks.
The instructor debugged live errors during the LLM integration. Taught me more about troubleshooting AI pipelines than any video course.
After the 'Enterprise Security' module, I built a secure internal knowledge base prototype. Got approved for funding immediately.
I thought I knew prompt engineering. This course showed me how to programmatically optimize prompts using Python. Next level control.
We built an agent that searches the web and writes a report. Watching it execute tasks autonomously was magic.
I'm a project manager. The 'No-Code GenAI' track helped me understand capabilities. I can now spec out AI features confidently.
Loved how they integrated security into every AI module. Prompt injection handling was a key takeaway for our fintech app.
The community is very active. I found my current job through a referral from a fellow learner in the Discord channel.
They don't just lecture. They pause and ask questions. The Q&A session at the end of each module is where the real learning happens.
I work in an enterprise that uses Azure. This is the only course that covered Azure OpenAI service depth, not just standard OpenAI API.
The value is incredible for the price. I've paid 5x for courses that delivered half the value. Highly recommended for professionals.
The workflow automation session opened my eyes to how much busy work I was doing. Automated my client onboarding process completely.
I always struggled with containerization. The MLOps module explained Docker in the context of serving models, which finally made sense.
The curriculum is very well structured. It builds up from basics to advanced concepts logically. No jumping around aimlessly.
Most courses stop at 'it runs on my laptop'. Here we focused on deploying to cloud, which is what real jobs require.
The support team is very responsive. Any issue with access or materials was resolved within minutes. Professional service.
The career session helped me position my past experience relevantly for AI roles. The resume tips were spot on and ATS friendly.
Whether you're looking for course details, corporate training, or just want to say hi, we're here to help.
Mindspace, Williamsburg
25 Kent Ave lobby; Suite 401,
Brooklyn, NY 11249, United States
A guided, hands-on course designed specifically for Non-Tech Leaders. Learn to build complex, automated workflows without writing a single line of code.
Limited spots for the beta cohort.
Select your track. From heavy coding to zero-code automation.
RAG pipelines, Fine-tuning LLMs, Vector DBs, and LangChain orchestration.
View SyllabusBuild multi-agent systems using AutoGen and LangGraph that solve complex tasks.
View SyllabusAutomated pentesting, SOC analysis, and writing custom security tools.
View SyllabusKubernetes, Terraform, AWS, and CI/CD pipelines for enterprise scale.
View SyllabusModel monitoring, feature stores, and deploying ML at scale with Docker.
View SyllabusDeep Learning, Computer Vision, and NLP from scratch to advanced.
View SyllabusBuild full-stack apps using Bubble, FlutterFlow, and Airtable without writing code.
View SyllabusMaster Zapier, Make.com, and n8n to automate complex business processes.
View SyllabusAutomate content, SEO, and ad campaigns using Generative AI tools.
View SyllabusEnter your details below.
Download the curriculum for Non-Tech Leaders.
Course Description goes here.