Enable your teams to build futuristic innovations with the power of Gen-AI
Your imagination, AI’s intelligence. Together, you create the future.
The Upskilling Roadmap
Curriculum crafted to enable expertise and experience with each module
Gain an overview of Generative AI, basic Python programming, control flow, and data structures.
Master Python functions, modules, file handling, and OOP principles including classes, objects, and error management.
Learn to develop interactive web applications using Streamlit and Python.
Explore deep learning techniques for NLP with ANN, RNNs, LSTM, and GRU models.
Explore the architecture and implementation of Transformers, focusing on encoder-decoder mechanisms and sequence learning.
Understand how Langchain simplifies Gen AI development, and build intelligent chatbots with conversation history and Q&A capabilities.
Automate text summarization, interact with SQL databases and explore Graph Databases using Neo4j and Cypher.
Fine-tune LLM models, build multi-AI agent systems and deploy these applications on platforms like Streamlit, Huggingface, and AWS.
Gain an overview of Generative AI, basic Python programming, control flow, and data structures.
Master Python functions, modules, file handling, and OOP principles including classes, objects, and error management.
Learn to develop interactive web applications using Streamlit and Python.
Explore deep learning techniques for NLP with ANN, RNNs, LSTM, and GRU models.
Explore the architecture and implementation of Transformers, focusing on encoder-decoder mechanisms and sequence learning.
Understand how Langchain simplifies Gen AI development, and build intelligent chatbots with conversation history and Q&A capabilities.
Automate text summarization, interact with SQL databases and explore Graph Databases using Neo4j and Cypher.
Fine-tune LLM models, build multi-AI agent systems and deploy these applications on platforms like Streamlit, Huggingface, and AWS.
The training that translates into real results.
*exclusive of official training content or certification. The program covers learning topics to appear for these exams.
Ready to scale faster with Generative AI?
Curious to know more?
Let’s talk about your team, your goals and how we can pave the way to achieve them.
Book Free ConsultationFrequently Asked Questions
We know training your team in Generative AI is a profitable investment, but it should also be an informed one. Here’s the answer to some of the quick questions you might have:
Generative AI can automate complex business processes, personalize customer experiences, and optimize overall workflows. Whether you're in content creation, customer service, or product development, this progressive technology can improve efficiency and reduce operational costs by reducing reliance on human personnel for repetitive tasks, allowing them to focus on more creative and innovation-driven activities.
This training is ideal for developers, data scientists, and business analysts. Teams involved in product innovation, AI project development, or even customer experience can greatly benefit from understanding how to apply AI tools in real-world scenarios.
We understand that every business is unique. Our approach is to work with you to identify your goals, current tech stack, and challenges. Based on this, we will create a tailored training plan that equips your team with skills in Python, deep learning, and AI deployment—focusing on tools like LangChain and Streamlit that fit your specific needs.
We include hands-on projects and regular assessments to track progress. Your team will walk away with tangible AI skills, such as developing chatbots, automating text summarization, and deploying AI-driven applications. In the long term, you’ll notice improvements in productivity, faster decision-making, and better customer engagement.
Yes, participants will receive certifications upon completing the course. This will validate their newly acquired skills in Python, deep learning, and generative AI techniques, and set them on a path to advanced AI certifications.
The boot camp is structured over 8 weeks, with 224 hours of hands-on learning. However, we can adapt the schedule to fit your business’s needs and your team’s availability.
Your team will get practical experience in Python programming, Streamlit for app development, and advanced AI models like Transformers and LLMs. They’ll also work with LangChain, learning to integrate it with platforms like OpenAI and Huggingface and explore NLP techniques such as RNNs and LSTMs.