Strong foundations
Learn programming, data structures, Python, mathematics for ML and software engineering before relying on frameworks.
PRODUCTION-FIRST AI ENGINEERING ACADEMY
Become a Production-Ready AI Engineer.
Not just someone who knows AI. Someone who can engineer it. Build strong foundations, develop real AI systems and learn to take them beyond the notebook — with rigorous, hands-on training in Bhubaneswar and online.
Train for AI engineering opportunities targeting ₹10–15 LPA as a fresher — and build the capability to pursue higher packages as your experience grows. Outcomes depend on your skills, interview performance and the opportunities you pursue.
For engineering students, fresh graduates and working professionals ready to build serious AI engineering skills. Be trained by an engineering leader who hires AI engineers and architects.
Online & Offline learningBhubaneswar, IndiaLocation on Map ↗email : support@logicraft.aicall : 9827710731
LEARN · BUILD · SHIP
PythonMLLLMsAgents
FOUNDATIONS → SYSTEMS → PRODUCTION22+years of software engineering experience
14structured curriculum modules
71+topics across AI engineering
15+production-grade project builds
WHY LOGICRAFT
Not another AI coaching class. An engineering-first academy.
The goal is not to finish a syllabus. It is to develop the judgement and practical ability to design, build, test, deploy and explain real AI systems.
Build, don't just watch
Work through coding exercises, graded assignments, reviews and end-to-end projects that connect concepts to working systems.
Production is the standard
Learn APIs, testing, security, evaluation, deployment, monitoring, reliability and cost-aware engineering.
Career preparation built in
Practice technical interviews, communication, resume storytelling and explaining the design decisions behind your work.
Gopi Prasad MishraAI Instructor · Engineering and Program Management Leader
LEARN DIRECTLY FROM AN ENGINEERING LEADER
Learn from someone who has built and shipped software.
With 22+ years in software engineering, Gopi brings the perspective of someone who has built software, led engineering teams and worked through the realities of delivering and operating production systems. The learning experience connects AI concepts with the engineering practices employers expect.
- 22+ years in software engineering
- Led engineering organizations of 60+ engineers
- 5+ years focused on AI/ML, including AI agent and production AI initiatives
WHO THIS PROGRAM IS FOR
A focused path for future AI engineers.
The program is designed for learners who want to move beyond using AI tools and develop the engineering skills to build real applications.
Engineering students and fresh graduates
Build the programming, AI and project portfolio foundations needed to pursue entry-level AI and software engineering opportunities.
Working software engineers
Extend your existing development experience into machine learning, LLM applications, RAG, agents and production AI engineering.
Technology professionals changing direction
Create a structured transition into AI engineering through guided learning, practical implementation and regular assessments.
Prior AI experience is not required. A willingness to code, practise consistently and complete substantial project work is essential.
15+ PRODUCTION-GRADE PROJECT BUILDS
Don't just learn AI. Build systems that solve real problems.
The program is designed around practical builds across machine learning, generative AI and agentic systems. These representative project tracks show the kinds of engineering problems students will learn to solve; the complete project briefs and scope are covered during the program.
Enterprise knowledge assistant
Build a secure document Q&A system with ingestion, chunking, hybrid retrieval, citations, access control and evaluation.
RAG · Embeddings · Vector search · GuardrailsBanking risk and fraud intelligence
Develop an ML pipeline for risk signals, imbalanced data, model evaluation, explainability and API-based inference.
Python · Scikit-learn · XAI · Model servingE-commerce recommendation engine
Create a recommendation workflow with feature pipelines, ranking logic, offline evaluation and measurable business metrics.
Feature engineering · Ranking · EvaluationMulti-agent operations assistant
Orchestrate specialised agents with tools, shared state, approvals, failure handling and traceable execution.
Agentic AI · MCP · A2A · ObservabilityHealthcare information assistant
Design a grounded assistant with source attribution, privacy-aware retrieval, safety checks and human escalation.
RAG · Privacy · Safety · Human reviewProduction AI platform
Package an AI service with automated tests, container deployment, monitoring, latency tracking and cost controls.
FastAPI · Docker · CI/CD · MonitoringProject examples are learning briefs, not claims of student placement outcomes or pre-existing student deployments.
THE LEARNING JOURNEY
A structured path from foundations to production.
Move from core programming to machine learning, modern AI systems and the engineering discipline required to operate them.
01 · Engineering foundations
Python, data structures, NumPy, Pandas, SQL, Git, problem solving and the software engineering habits that support reliable code.
02 · ML, deep learning and NLP
Data preparation, feature engineering, model training, evaluation, neural networks, PyTorch, transformers and embeddings.
03 · LLMs, RAG and agents
LLM APIs, prompting, retrieval pipelines, vector databases, evaluation, tool calling, agent memory, MCP and A2A.
04 · Production AI engineering
System design, API development, testing, security, guardrails, deployment, observability, optimization and capstone delivery.
THE LOGICRAFT GRADUATION STANDARD
Attendance is not the finish line. Demonstrated engineering ability is.
Students are expected to show what they can build and explain — not simply complete lessons or collect a certificate.
01
Write and debug Python code independently, work with data and explain core ML concepts.
02
Build and evaluate ML, LLM, RAG and agentic applications with sound technical reasoning.
03
Design APIs and system components with attention to testing, security, reliability and cost.
04
Deploy and demonstrate working projects, explain trade-offs and defend architectural decisions.
Learning is reinforced through class assignments, weekly and module-wise tests, code reviews, project demonstrations and interview practice.
CAREER AND INTERVIEW READINESS
Build the skills. Learn to communicate your value.
Technical ability matters. So does the ability to explain your work clearly, solve problems under interview conditions and present your experience professionally.
Technical interview practice
Coding, Python, ML, LLM, RAG, AI agent and system-design discussions, with practical problem solving.
Resume and LinkedIn support
Structure your profile around demonstrable skills, project decisions, measurable contributions and clear technical evidence.
Communication and mock interviews
Practice business communication, technical explanations, HR questions and interview conversations.
Recruitment guidance
Guidance on role research, applications and interview preparation. Hiring decisions and job offers remain with employers.
Career preparation and recruitment guidance are support services; Logicraft does not guarantee employment or a particular salary.
SHOW THE WORK
Evidence matters more than marketing claims.
Explore the project briefs and engineering practices that shape the program. As cohorts progress, this section will grow to include reviewed student work and verified outcomes.
01
Project walkthroughs
See the problem, architecture, implementation approach and engineering trade-offs behind representative AI project builds.
02
Sample teaching experience
Attend a free masterclass to experience the teaching approach and see an AI engineering problem worked through step by step.
03
Explore program and project detailsStudent work and verified outcomes
Student demonstrations, testimonials and career outcomes will be published here only when real, reviewed and approved for sharing.
TAKE THE NEXT STEP
See the program clearly. Make an informed decision.
Review the syllabus, understand the learning format and speak with the academy before enrolling.
Program duration6 months
Learning formatOnline or in-person · Bhubaneswar
Class schedule3 classes per week on alternate days
Session length1.5–2 hours
Curriculum14 modules · 71+ topics · 15+ project builds
Fees and offersAsk the admissions team for current fees, instalments and eligibility-based discounts.
Who can applyEngineering students, fresh graduates and working professionals with 2–8 years’ experience who want to move into AI development; prior AI experience is not required.
Batch start dates, seat availability and fee offers can change. Confirm current details with the admissions team.
FREE MASTERCLASS
Try it before
you commit.
If you’d like a free masterclass, please register here and we’ll send you the masterclass link and schedule.
See how a real AI engineering problem is broken down, implemented and evaluated — before you decide to enrol.
COMMON QUESTIONS
A few things to know before you apply.
Here are concise answers to the questions students commonly ask before speaking with admissions.
Read all frequently asked questionsDo I need prior AI or machine learning experience?
No prior AI experience is required. The program begins with engineering and Python foundations before progressing into machine learning and modern AI systems. A willingness to practise coding is important.
Is the program suitable for fresh graduates?
Yes. It is designed for engineering students, fresh graduates and working professionals who want to build practical AI engineering skills.
Will I build real projects?
The curriculum includes 15+ project builds across ML, GenAI and agentic AI. The project briefs focus on architecture, implementation, evaluation and production engineering practices.
How are classes conducted?
The program offers online and in-person learning in Bhubaneswar. The current schedule is three classes per week on alternate days, with sessions of approximately 1.5–2 hours. Confirm the next cohort schedule with admissions.
Does Logicraft guarantee a job or a particular salary?
No. Logicraft provides career preparation and recruitment guidance, but hiring decisions, job offers and compensation are determined by employers and individual performance.
How can I find the fees and payment options?
Contact the admissions team for current fees, instalment options and eligibility-based discounts. Confirm the applicable amount and terms before enrolling.
READY WHEN YOU ARE
Let’s build something
production-grade.
Tell us what you want to learn and we’ll help you explore the program.