DataAstraa LLP is a Data Science/BI and AI consulting firm helping organizations automate operations, scale analytics, and achieve strategic business outcomes.
DataAstraa Academy mentors students and professionals on real-world analytics projects, transforming learning into hands-on implementation experience.
Explore DataAstraa Consulting- End‑to‑end consulting: data engineering, BI, ML, and Generative AI solutions.
- Corporate workshops and capability building for AI and BI teams.
- Applied learning via live projects, hackathons, and LMS-driven delivery.
Industry-Grade AI / ML Programs for Enthusiasts
Enable your faculty to design impactful AI/ML curricula, lead funded research, and publish white papers grounded in real industry use cases.
Consulting-led curriculum designed by practitioners who implement data pipelines, analytics engines, and AI solutions for industry clients.
Fresh Graduates
Passed-out engineers and B.Sc./BCA/MCA graduates who know basics of programming but lack real project exposure and portfolio.
Entry-level Professionals
0–2 years experience in IT, support, testing, or analytics who want to move into AI, ML, or data engineering roles.
Experienced Upskillers
3+ years experience in software, BI, or domain roles who want to lead AI initiatives and mentor teams on client projects.
Work in AI Pods
Learners are grouped into pods under a Tech Lead, aligned to a dummy organisation with clear use cases and challenge statements.
On-the-Job Training Experience
Daily standups, sprint-based tasks, and stakeholder-style reviews simulate how work actually happens in AI consulting teams.
Post-Training Outcomes
By the end of the program, learners have code repos, presentations, and project write‑ups that can be showcased to employers.
Modular tracks that can be taken independently or as a complete AI Career Accelerator journey.
| Track | Duration | Focus | Key Outcomes |
|---|---|---|---|
| Python, EDA & Visualization | 24 hours | Python foundations, data cleaning, exploratory data analysis, and dashboards for data storytelling. | Ability to handle datasets end‑to‑end and build clear visual narratives for business teams. |
| Machine Learning Models | 40 hours | Supervised & unsupervised algorithms, feature engineering, model evaluation and ML pipelines. | Build and benchmark ML models on real‑style problems with production‑like workflows. |
| Deep Learning | 24 hours | Neural networks basics, image and sequence models, training and tuning deep learning models. | Implement deep learning solutions for vision and sequence use cases with industry tools. |
| Gen AI & LLMs | 24 hours | Prompt engineering, embeddings, RAG, and domain‑specific chatbots built on modern LLM stacks. | Design and prototype practical Gen AI applications for business and product workflows. |
| Power BI | 24 hours | Connect and shape data, Data Modelling, DAX, Power Query, Calculated Field, Optimization | Design and Create advanced interactive dashboards for decision making |
To join the AI Career Accelerator or to get a personalized learning roadmap, share your profile and preferred start date with our team.
Website: www.dataastraa.com | Academy: academy.dataastraa.com
Email: learnwithus@dataastraa.com
Mention “AI Career Accelerator” in the subject line along with your experience level (Fresher / Entry‑level / Experienced).