🧩 Software & AI Engineering Training Course

🎓 🏆 Jataye AI Academy Kickstart Your AI Career with Confidence 🚀 🎓

Build job-ready Digital IT skills and AI expertise to launch a high-growth tech career.

💼 Secure a ₹4.0 L–₹12.0 L+ Opportunity. If not, your full fee is refunded.

🎯 I'm Ready to Start My Career Journey → Book Now

📘 This training program is fully customizable — modules can be added or removed based on requirements depending on your career or business needs.

🛡️ Build intelligent, scalable systems by mastering end-to-end software development and cutting-edge AI engineering workflows.

🚀 Turn your coding skills into a ₹12L+ career launchpad. 🤖 Learn AI tools companies already use — and get ahead of the crowd. 💼 Build real-world projects you can showcase to clients and recruiters. 🎯 Stop guessing your career path — get a structured roadmap to success. 🌍 Work with global-ready skills that open Your job opportunities.

🚀 Software & AI Engineering Career Program Bootcamp Next-Gen From beginner to industry-ready professional

Practical skills for the fastest-growing careers Bridge the gap between learning and earning Master advanced skills & future-proof your career

100% Placement Guarantee

We don’t just train—we place you in the right job role.

100% Refund Assurance

If placement doesn’t happen, your fee is fully refunded.

100% Internship Included

Hands-on internships with real projects to build industry credibility.

100% Career Growth Support

From resume to promotions, we guide you at every career stage.

99.9%

Job Placement Rate
Within 30 days

4-12 L

Average Starting Salary
For graduates

06K +

Successful Graduates
Since 2020

4.9 / 5

Student Satisfaction
Based on reviews

Start Your software & AI Engineering Journey Today

Don't wait for the perfect moment. The AI revolution is happening now, and we'll help you be part of it

🏆 Grab Your Spot – Limited Enrollment Open

🏗️ Design scalable software Platforms with modular architecture 🧠

🔐 Build secure Backend APIs and Frontend user interface systems 🌐

🧠 Develop machine learning AI models & workflow automation 📈

🤖 Integrate LLMs, RAG, and AI agents & Capstone Projects 🧭

❌ Traditional Coding Courses	✅ Software & AI Engineering Program
📚 Theory-heavy, outdated content	🔧 Hands-on learning with real software & AI projects
👨‍🏫 Generic instructors with limited field experience	🧠 Mentored by software architects and AI engineers
🔧 Teaches syntax, not system-level thinking	🏗️ Learn to architect, build, and scale smart systems
💡 Focuses only on web basics	🤖 Includes AI models, APIs, agents, and MLOps
🕒 Fixed pace, slow progression	🚀 Fast-paced, self-paced, and project-based
🚫 No real deployment or team experience	✅ Includes CI/CD, Git, code reviews, and real-world workflow

Our Assurance: Why Jataye Training Courses

🧠 Skills-First Commitment

💼 Job Guarantee Promise

🧾 Refund & Deferral Policy

⚖️ Legal & Contractual Safeguards

🔐 skills, confidence, and job-readiness

🙌 Satisfaction Guarantee

⏸️ Flexibility & Learning Freedom

🛡️ Commitment to Outcome , Not Just Access

📊 Analyze data for model training success

🔍 Perform EDA, feature engineering, and preprocessing.

🧪 Evaluate model accuracy, drift, and bias

📈 Use precision, recall, and fairness metrics effectively.

🌐 Integrate third-party APIs and webhooks

🧭 Connect your app to payment, auth, or AI APIs.

🔍 Debug, test, and refactor production code

🧠 Improve code quality through testing and clean practices.

💡 What We Offer

💡Your transformation isn’t just our goal — it’s our guarantee.

🧑‍🏫
Real Mentorship — Not Just Code Snippets

We go beyond coding bootcamps and YouTube tutorials. You’ll be guided by senior software engineers and AI architects who build production-grade systems.

Weekly live sessions with backend/AI experts
Personalized code reviews and architectural guidance
Career coaching and project roadmap mentoring

🛠️ 🛠️
Capstone Projects with Real-World Impact

Work on 4 end-to-end capstone projects to architect and deploy intelligent systems using modern tech stacks and AI integrations.

Full-Stack Ticketing & Task Management System
AI-Integrated CRM with Smart Recommendations
Auto-Scaling API Infrastructure with CI/CD
GPT-Powered Support Chatbot + Admin Dashboard

🌐 🌐
Intelligent Tools & LLM Ecosystem

Master the latest AI and dev tools used in building agentic systems and AI-driven applications.

API-first backend design + LangChain integrations
GPT-based logic, retrieval, and auto-response systems
Webhooks, Zapier, Notion, Slack, and real-time automation
Multimodal systems with vision + memory agents

🏅 📜
Industry-Relevant Engineering Certifications

Earn certificates that showcase real skills to employers and clients—validating your ability to build smart systems from the ground up.

Certified Full-Stack AI Developer (CFAD)
Software System Design & Architecture Certificate
LLM Automation & Prompt Engineering Badge
Vector DB & Agent Integration Specialist

🤝 🤝
Career Launch Support + Hiring Network

Break into software or AI roles with a portfolio that speaks for itself. We help you launch your tech career with real proof of skill.

Resume, GitHub & LinkedIn optimization
Project-driven portfolio with live app demos
Mock tech interviews & whiteboard prep
Access to hiring partners in product, dev & AI teams

⚙️ ⚙️
Full-Stack Automation & AI Tech Stack

Get hands-on with the real tools used by engineering teams at AI-first startups, SaaS companies, and enterprise dev teams.

Languages: Python, JavaScript, SQL
Frameworks: Django, FastAPI, React, Next.js
LLMs: GPTs, Claude, Ollama, Gemini
Tools: LangChain, Zapier, Pinecone, Weaviate, Chroma
DevOps: Docker, GitHub Actions, CI/CD, PostgreSQL

💡 Code, Train, Deploy: Software & AI Engineering Bootcamp💡

🚀 Hands-on training in software development, ML/LLMs, and AI integration—built for modern product teams.

🧠 Month 1: Foundations of Agentic Software Thinking

✅ Week 1: Agentic Systems & Foundation Mastery

This week introduces learners to the fundamentals of agentic systems. You’ll explore how autonomous agents function in software environments. The focus will be on task orchestration and decision-making capabilities. You’ll learn how prompts shape agent behavior and outcomes. Through guided exercises, you’ll build your first mini-agent. By the end, you’ll understand how agents can transform workflows.

⚡ Understand what agentic systems are and why they matter
🧩 Learn components of autonomy, context, and orchestration
💬 Explore how prompts guide intelligent agent behaviors
🛠️ Build a simple task-performing software agent
📊 Study real-world applications: automation, chatbots, research
🚀 Mini-project: Create a foundation-level agent prototype

"Master the foundations of agents today, and you’ll command the builders of tomorrow."

📊 Week 2: AI IDEs & Copilot-Driven Development

This week dives into AI-powered development environments. You’ll learn how copilots integrate into modern IDEs to assist coding. Debugging, refactoring, and test automation will be core skills. Real-world pair-programming with AI copilots will be practiced. By using copilots effectively, you’ll accelerate project workflows. The week ends with building features fully guided by AI IDEs.

💻 Explore AI-augmented IDEs (VS Code, JetBrains)
🤖 Learn how copilots suggest and complete code
🧹 Use AI for code refactoring and style improvements
🧪 Automate unit tests and debugging with copilots
🔄 Compare AI-driven vs manual coding workflows
🚀 Project: Build a feature end-to-end with AI copilots

"With an AI copilot, your keyboard becomes a launchpad, not a bottleneck."

🔎 Week 3: Learning Frameworks with AI Assistance

This week focuses on learning frameworks with AI guidance. You’ll practice project setup using AI-assisted boilerplate generation. AI copilots will help in debugging, explanations, and documentation. Frameworks like React, Next.js, and Django will be explored. You’ll compare speed and efficiency of AI-guided learning vs manual. By the end, you’ll deploy a framework-based mini application.

🛠️ Use AI to scaffold projects in popular frameworks
📘 Learn framework syntax with AI-based explanations
🔍 Debug applications using AI copilots efficiently
📄 Navigate documentation with AI summarization
⚡ Compare productivity gains with AI-guided coding
🚀 Mini project: Build a small app with framework + AI help

"Frameworks give you power, but AI gives you wings."

📲 Week 4: System Design & Architecture Using AI

This week introduces AI’s role in software system design. You’ll use AI to generate and validate architecture diagrams. Scalability, modularity, and performance optimization will be highlighted. You’ll study microservices and fault-tolerant design with AI input. AI-assisted tools will help analyze trade-offs in design choices. By the end, you’ll create a real-world architecture blueprint with AI.

🏗️ Learn fundamentals of system design with AI support
📐 Create architecture diagrams using AI tools
⚙️ Design scalable and modular system components
🔄 Explore microservices and service orchestration with AI
🛡️ Ensure fault tolerance and resilience with AI suggestions
🚀 Capstone: Draft AI-assisted architecture for a real project

"Great systems aren’t just built—they’re intelligently designed with AI foresight."

🔐 Month 2: Building Scalable & Secure Backends

🔧 Week 5: Agent Workflows & Process Automation

This week explores how agents can streamline backend workflows. You’ll learn about multi-agent orchestration and collaboration. Focus will be on automating repetitive backend processes. Real-world examples include DevOps tasks and data pipelines. AI will guide you in optimizing workflow efficiency. By the end, you’ll design an automated process flow with agents.

⚙️ Understand workflows and agent orchestration basics
🔄 Automate repetitive backend and DevOps tasks
📡 Implement event-driven agent processes
🧩 Use AI to optimize task handoffs and dependencies
📊 Case studies: data pipelines, monitoring, notifications
🚀 Mini-project: Design & run an AI-driven automated workflow

"Automation with agents isn’t just efficiency—it’s evolution."

💼 Week 6: Productive Testing & QA with AI

This week focuses on AI-powered testing and quality assurance. You’ll learn to generate test cases automatically with AI tools. Debugging and bug prediction will be core areas of study. You’ll explore regression testing, integration, and performance validation. The aim is to reduce human error while improving QA speed. By the end, you’ll create an AI-assisted QA testing framework.

🧪 Generate automated test cases with AI copilots
🐞 Detect and fix bugs using AI-powered debugging
⚡ Conduct regression and integration testing with AI
📊 Use AI to track test coverage and performance metrics
🔒 Apply AI to ensure security and compliance testing
🚀 Project: Build an AI-assisted QA pipeline for a sample app

"Testing with AI turns quality assurance into quality acceleration."

🎨 Week 7: AI-Guided API Design & Auto-Documentation

This week introduces AI-guided API design and documentation. You’ll explore how AI helps in defining endpoints and schemas. Focus will be on security, scalability, and maintainability. You’ll also practice auto-generating API documentation using AI. AI copilots will ensure clarity and consistency across APIs. By the end, you’ll deploy a documented, secure API.

🖥️ Use AI to design API endpoints and specifications
🔐 Apply best practices for secure and scalable APIs
📡 Automate schema generation and validation with AI
📖 Generate clear API documentation automatically
⚙️ Learn versioning and backward compatibility with AI insights
🚀 Project: Deploy an AI-documented, production-ready API

"APIs are the bridges of software—AI makes them smarter and stronger."

🌐 Week 8: Database Design & Query Optimization with AI

This week dives into AI-assisted database design and performance tuning. You’ll learn schema modeling for scalable and secure systems. AI will guide you in query optimization and indexing strategies. You’ll compare SQL vs NoSQL designs with AI recommendations. Case studies will include high-performance transactional systems. By the end, you’ll build a database optimized with AI insights.

🗂️ Learn fundamentals of schema design with AI suggestions
⚡ Optimize SQL queries with AI-driven analysis
🔍 Use AI to recommend indexes and caching strategies
🌐 Compare SQL vs NoSQL database structures
📊 Apply AI to monitor and tune database performance
🚀 Project: Design and optimize a database with AI assistance

"A well-designed database is the backbone of every system—AI makes it unbreakable."

🧠 Month 3: SLDC Engineering + AI Coding Assistants

📊 Week 9: Authentication & Access Control with Agent Logic

This week covers securing applications with agent-driven authentication. You’ll learn identity management and role-based access control. Focus will be on AI-assisted policy enforcement and validation. You’ll implement secure login systems with adaptive agent logic. Real-world use cases include multi-factor and conditional access. By the end, you’ll deploy an agent-driven authentication module.

🔑 Understand authentication fundamentals with agent support
🧩 Implement role-based access control using AI
📱 Add multi-factor authentication workflows
🛡️ Use AI to detect and prevent unauthorized access
⚡ Automate access policy enforcement with agents
🚀 Project: Build an AI-assisted authentication system

"Security is not a feature—it’s the foundation agents must guard."

📰 Week 10: CI/CD Pipeline Creation via AI Orchestration

This week focuses on automating CI/CD with AI orchestration. You’ll learn to configure build, test, and deployment pipelines. AI tools will optimize workflows for speed and reliability. Focus will be on monitoring, rollback, and error handling. You’ll integrate DevOps tasks into an AI-driven agent pipeline. By the end, you’ll deploy a fully automated CI/CD system.

⚙️ Learn fundamentals of CI/CD pipelines
🤖 Use AI agents for build, test, and deploy automation
🔄 Implement rollback and recovery workflows with AI
📡 Monitor pipelines with AI-driven alerts
🚀 Optimize release frequency and stability using AI
🛠️ Project: Create an AI-orchestrated CI/CD pipeline

"With AI, pipelines don’t just run—they think, adapt, and self-heal."

📢 Week 11: Component Thinking & Prompt-Based UI Building

his week introduces UI development with component-based thinking. You’ll use AI copilots to generate modular UI components. Focus will be on prompt-driven design and rapid prototyping. Frameworks like React and Next.js will be practiced. AI will guide consistency, accessibility, and performance improvements. By the end, you’ll create a prompt-built UI prototype.

🎨 Learn component-based UI development principles
🧩 Generate reusable UI elements with AI copilots
💬 Use prompt-driven workflows for faster design
📱 Ensure responsive and accessible layouts with AI help
⚡ Optimize rendering and performance with AI checks
🚀 Project: Build a modular UI with AI-generated components

"Great UIs aren’t coded line by line—they’re composed with intelligence and vision."

🕹️ Week 12: Fullstack Integration Agents (GPT as a Bridge)

This week dives into agents as fullstack integrators. You’ll use GPT as a bridge between backend and frontend layers. Focus will be on orchestrating API calls and data flow. You’ll practice integrating services like databases and auth systems. Real-world use cases include chatbot-driven fullstack workflows. By the end, you’ll build a GPT-powered integration agent.

🌉 Understand GPT’s role as a fullstack bridge
🔗 Connect frontend and backend using AI orchestration
📡 Automate API calls and data transformations
🗂️ Integrate database queries via GPT workflows
⚡ Build multi-service applications with AI agents
🚀 Capstone: Deploy a GPT-powered fullstack integration agent

"When GPT becomes the bridge, fullstack development feels like single-click orchestration."

🤖 Month 4: Applied Machine Learning & LLM Agent Design

📊 Week 13: AI-Generated Design Systems & Theming

This week focuses on using AI to create scalable design systems. You’ll learn to automate theming and style consistency across platforms. AI copilots will help generate reusable UI components and patterns. Accessibility, branding, and personalization will be key elements. You’ll compare manual vs AI-assisted design workflows. By the end, you’ll build a themed system powered by AI.

🎨 Automate UI theming with AI design copilots
🧩 Generate reusable design tokens and components
🌈 Apply consistent styling across multiple platforms
♿ Ensure accessibility with AI-driven design checks
⚡ Compare manual vs AI-assisted design efficiency
🚀 Project: Build a complete AI-generated design system

"Design isn’t just creative—it’s intelligent when AI sets the theme."

📊 Week 14: Intelligent Code Refactoring & Review Agents

This week dives into AI-assisted code improvement. You’ll learn automated refactoring techniques guided by agents. Focus will be on improving readability, scalability, and performance. AI review agents will help detect anti-patterns and vulnerabilities. You’ll practice collaborative review sessions with AI copilots. By the end, you’ll deliver cleaner, production-ready code.

🧹 Refactor code for clarity and performance with AI
🔍 Use agents to detect anti-patterns and bad practices
🛡️ Apply AI to identify vulnerabilities and risks
💡 Improve maintainability with automated restructuring
🤝 Collaborate with AI copilots in peer reviews
🚀 Project: Refactor and review an existing codebase with AI

"Great code isn’t written once—it’s refactored into brilliance."

💼 Week 15: AI Model Fundamentals for Builders

This week introduces the foundations of AI and ML models. You’ll understand model architectures, training, and fine-tuning. Focus will be on applying models in real-world software. AI copilots will assist in simplifying ML concepts for builders. You’ll practice with small-scale datasets and models. By the end, you’ll deploy a basic AI-powered feature.

🧠 Learn AI/ML model basics: training, inference, fine-tuning
📊 Work with datasets for supervised and unsupervised learning
🔧 Use pre-trained models and adapt them with AI guidance
⚡ Explore transfer learning for faster model building
🛠️ Understand evaluation metrics for AI performance
🚀 Project: Train & deploy a lightweight AI model for a use case

"To build with AI, you must first understand the mind behind the machine."

💪Week 16: Working with LLMs in Production

This week focuses on deploying LLMs in real-world systems. You’ll learn scalability, latency, and cost optimization strategies. Security and compliance will be emphasized for enterprise-grade use. You’ll integrate LLMs with backend and frontend services. Monitoring, logging, and continuous improvement will be practiced. By the end, you’ll run an LLM-powered production app.

⚙️ Learn LLM deployment workflows and infrastructure
📡 Integrate LLMs with APIs, backends, and frontends
🔒 Apply security & compliance best practices for LLMs
📊 Monitor usage, costs, and performance in production
🔄 Continuously improve models with feedback loops
🚀 Capstone: Deploy an LLM-powered production-ready system

"LLMs in production aren’t just models—they’re living systems that must think, scale, and evolve."

⚙️ Month 5: AI Automation, GPT & No-Code Ops

🤖 Week 17: LangChain Agents & Automation Flows

This week introduces LangChain as the backbone for agent workflows. You’ll learn how to connect LLMs to tools, APIs, and external data. Focus will be on chaining multiple steps into structured automation. We’ll build flows for tasks like document processing and reporting. Error handling and optimization will also be explored. By the end, you’ll create a complete LangChain automation pipeline.

🤖 Introduction to LangChain agents & tools
🔗 Build multi-step automation chains
📡 Connect APIs, databases, and third-party services
📂 Automate document handling with LLMs
⚡ Optimize flows for speed & reliability
🚀 Project: End-to-end workflow automation using LangChain

"Automation isn’t about removing humans—it’s about multiplying impact."

🧠Week 18: Autonomy with AutoGPT + Workflow Agents

This week is about autonomous AI agents like AutoGPT. You’ll explore how agents set goals and achieve them with minimal input. Focus will be on workflow orchestration for business use cases. You’ll simulate real-world autonomous tasks like market research. We’ll dive into risks, limitations, and safety practices. By the end, you’ll run an autonomous AI workflow system.

🧠 Understand how AutoGPT & similar agents work
🎯 Build goal-driven autonomous workflows
📊 Automate research, planning, and execution tasks
🔄 Orchestrate multiple agents in one pipeline
🛡️ Learn risk, safety, and guardrail strategies
🚀 Project: Deploy an autonomous business assistant agent

"Autonomous AI isn’t just smart—it’s persistent in chasing your goals."

💬Week 19: No-Code Meets AI Dev Agents

This week blends no-code platforms with AI development. You’ll use tools like Bubble, n8n, and Zapier with AI copilots. The focus is on rapidly deploying apps without deep coding. We’ll integrate AI agents into no-code workflows for scale. You’ll learn to bridge business and technical teams via no-code AI. By the end, you’ll launch a no-code AI-powered prototype.

⚡ Explore no-code tools (Bubble, Zapier, n8n) with AI
🔗 Connect AI copilots into automation flows
📱 Build lightweight apps powered by GPT agents
🛠️ Prototype AI solutions without coding from scratch
🤝 Empower business teams with no-code AI integrations
🚀 Project: Launch a no-code AI application in one week

"With no-code + AI, ideas move from vision to product overnight."

📅 Week 20: Knowledge Retrieval + Vector Search

This week dives into knowledge retrieval with vector databases. You’ll learn embeddings, similarity search, and RAG (retrieval-augmented generation). The focus will be on handling unstructured data for AI apps. We’ll integrate tools like Pinecone, Weaviate, and FAISS. Performance, scaling, and accuracy trade-offs will be explored. By the end, you’ll implement a RAG-powered chatbot with vector search.

📚 Learn embeddings & vector representations
🔍 Apply semantic search for unstructured data
⚡ Implement Retrieval-Augmented Generation (RAG)
🗄️ Use vector DBs like Pinecone, FAISS, Weaviate
📊 Optimize retrieval for accuracy and speed
🚀 Project: Build a vector-search powered AI assistant

"Knowledge retrieval turns raw data into intelligence at your fingertips."

🚀 Month 6: Product Build, Deployment & Career Launch

🔝 Week 21: Intelligent Dashboards + Analytics Agents

This week focuses on building smart dashboards powered by AI. You’ll integrate real-time analytics with LLM-driven insights. Learn how to automate reporting and decision-making workflows. We’ll connect agents to BI tools and visualization platforms. Case studies will cover business intelligence and operational monitoring. By the end, you’ll deliver a working AI-driven analytics dashboard.

📊 Build real-time analytics pipelines
🤖 Use AI agents for automated insights
🔗 Connect LLMs with BI dashboards (Tableau/Power BI)
📈 Automate reporting & trend analysis
⚡ Deploy dashboards for live business monitoring
🚀 Project: Create an AI-powered analytics dashboard

"Dashboards don’t just show data—they tell stories for smarter decisions."

🏢 Week 22: Custom GPT & Embedded AI Assistants

This week is about building your own custom GPTs. You’ll embed AI assistants inside apps and workflows. Focus will be on domain-specific fine-tuning and APIs. We’ll cover context management, embeddings, and memory. Examples include customer support, productivity, and enterprise apps. By the end, you’ll launch a custom embedded AI assistant.

🧩 Build and customize GPT models
🔗 Integrate assistants directly into apps & tools
📡 Use APIs to connect with enterprise workflows
💾 Add memory and context-awareness to assistants
⚙️ Fine-tune GPTs for domain-specific tasks
🚀 Project: Deploy a custom embedded GPT assistant

"The future of work is AI that lives inside the tools you already use."

📘 Week 23: Capstone Build: Architecting Your AI Product

This week is your capstone project—turning all skills into a product. You’ll design, architect, and implement an end-to-end AI solution. Focus will be on scalability, modularity, and real-world application. We’ll guide you on design docs, architecture diagrams, and execution. Mentorship sessions will support your build journey. By the end, you’ll present a complete AI product ready for demo.

🏗️ Architect a full AI solution (frontend + backend + AI)
📂 Design modular workflows & pipelines
⚡ Optimize product for speed & reliability
🛠️ Apply MLOps for deployment readiness
🤝 Work in teams to simulate real-world builds
🚀 Capstone: Build & present your AI product

"Your AI product is not just code—it’s the bridge from vision to reality."

🚀 Week 24: Portfolio, Review & Launch Readiness

This week prepares you for your AI career launch. You’ll create a polished portfolio showcasing your projects. We’ll conduct mock reviews, feedback, and product demos. Focus will be on communication, pitching, and interview readiness. You’ll learn strategies to stand out in the AI job market. By the end, you’ll be portfolio-ready and job-launch prepared.

📂 Build a professional AI project portfolio
🎤 Practice pitching your AI product/demo
📝 Get feedback from mentors & peers
💼 Learn job search & interview strategies
🌍 Position yourself for global AI opportunities
🚀 Graduation: Launch your AI career path

"A strong portfolio is your ticket—proof that you can build, not just talk."

🚀 No Coding Experience? No Problem!
Launch Your Tech Career in Software & AI Engineering
Master Software Development, AI Systems & Automation — No Experience Required 🔧🤖

Unlock high-paying engineering roles in just 24 weeks. Learn how to build web applications, train AI models, develop APIs, and deploy intelligent systems using real-world tools like Python, Django, FastAPI, PyTorch, React , Next.js , Electron, Flutter and LangChain. This beginner-friendly program is: ✅ Fast – Outcome-driven with job-ready projects ✅ Hands-On – Code, build, deploy from day one ✅ Industry-Focused – Learn the exact skills top tech teams want

🎓 Get a 100% Internship Certificate upon successful completion of the full training program.

⏰ Daily Learning Commitment – Dedicate 6 hours a day to structured training, projects, and skill-building.
💼 Real-World Experience – Work 3 - 4 hours daily on live company projects to gain hands-on industry exposure.
🌱 Skill-to-Impact Learning – Everything you learn is directly applied to practical scenarios, ensuring faster growth.
🔗 Workplace Readiness – Develop collaboration, communication, and problem-solving skills while working with real teams.
🚀 Portfolio Boost – Graduate with projects, case studies, and results you can showcase to recruiters and clients.
🏆 Mutual Growth Advantage – Companies get valuable support while you gain real experience — a win-win scenario.

Skill First, Pay Later Model

Transparent Pricing

Registration Fee

₹ 5,999 /- + GST

One-time payment

Secures your seat

Non-refundable

Immediate course access

Seat locking fee

Course Fee

₹ 49,999 /- + GST

Payable after joining

2-3 monthly EMIs available

Includes all training materials

Mentorship & career services

100% refund guarantee* T & C

Job Success Fee

Placement

₹ Up to 100K + GST

100% Placement Guarantee

100% Refund Assurance

100% Internship Included

100% Career Growth Support

4 -12 L Average Starting Salary

🚀 Training Starts Only When Opportunity Is Confirmed

We don’t train in the dark. Every course is launched with purpose, precision, and proven demand.

🚀 AI & Tech Career Foundation

👉 Kickstart your career with future-proof AI & tech skills that demand.

🎭 Enroll Now - Limited Seats 🎭

🧩 Software & AI Engineering

👉 Engineer the future with agentic AI workflows, coding mastery.

🎭 Enroll Now - Limited Seats 🎭

🧠 Digital Sales & AI Marketing

👉 Sell smarter, not harder — blend digital sales with AI-powered marketing.

🎭 Enroll Now - Limited Seats 🎭

🤖 AI Engineering & Freelancing

👉 Master AI tools and unlock freelancing gigs that pay from day one.

🎭 Enroll Now - Limited Seats 🎭

👨‍💻 Master Software Engineering, AI Agents & Automation — Backed by Real-World Projects and 100% Job Launch Support

🚀 Become an AI-First Software Engineer in Just 6 Months 💡 Why Software & AI Engineering?

In every digital-first industry — tech, finance, manufacturing, e-commerce, health — one thing powers progress: software infused with intelligence. While others follow outdated methods, smart professionals are building the future with AI agents, automation, and adaptive systems. Whether you're a beginner, a job switcher, or a business founder, mastering the art of intelligent software and AI engineering is your shortcut to innovation, income, and impact.

🧠 Learn from AI-Driven Engineers

Get mentored by AI-native software architects.
Build real-world projects using automation-first workflows. Understand agentic thinking, automation strategies, and system design used by top teams.

🔧 Master AI-Enabled Software Techniques

Build scalable apps with AI copilots, GPTs, and workflow agents.
Learn prompt-driven coding, API orchestration, and test automation. Perfect for backend, frontend, fullstack, and automation engineering roles.

🎯 Real-Time Build Simulations

Work on industry projects in a simulated agile environment.
Use tools like GitHub Copilot, LangChain, Cursor, and Zapier. Build confidence and speed before deploying real products.

📜 Get Certified, Get Hired

Earn globally recognized certifications in AI Software Engineering. Get direct hiring support, resume prep, and interview coaching. We offer 100% job support and career launch assistance post-program.

Duration

6 months (24 weeks) structured into six comprehensive phases

Learning Mode

Hybrid approach with live classes, self-paced videos, and capstone projects

Outcomes

Certificate, 5+ projects portfolio, job assistance, and career coaching

100 %

Job Guarantee

₹4.5 L+

Minimum CTC

300+

Hiring Partners

24 Weeks

to Career Switch

🧩 Month-by-Month Job Role Mapping — Software & AI Engineering

At Jataye Solutions, we don’t just offer courses — we build careers. Whether you're stepping into freelancing or aiming for a job in tech, our programs are built for real-world success.

🔍 Foundation + Agentic Thinking

Primary Focus: Core concepts, agentic systems, version control, databases, system design
Mapped Job Titles:

🧠 AI Agent Trainee – understands autonomous agents, basic AI tools
🔧 Junior Software Engineer (AI-aware) – builds logic using Git, Python
🗄️ Data Modeling Assistant – supports SQL, ERD, and backend structure
🏗️ Tech Stack Research Intern – uses GPT for comparing languages/frameworks

🧠 Backend + API Engineering

Primary Focus: Building secure, tested APIs and backend systems
Mapped Job Titles:

⚙️ Backend Developer (FastAPI/Django)
🔐 API Security Analyst – configures tokens, RBAC, and threat mitigation
🔁 Automation Developer – creates Celery tasks, async pipelines
📦 Integration Engineer (AI Tools) – builds APIs for AI tools to plug into

💻 Frontend + AI Development Tools

Primary Focus: Frontend fundamentals, fullstack connections, AI-assisted coding
Mapped Job Titles:

⚛️ Frontend Developer (AI-Enabled) – builds React/Next.js components with GPT
🧠 AI Productivity Engineer – uses GitHub Copilot, Cursor, etc. to ship faster
🔗 Fullstack Assistant Developer – integrates backend APIs with frontend UI
🖥️ AI UI/UX Prototype Engineer – co-designs user-facing agents and tools

🤖 Machine Learning + Agents

Primary Focus: ML fundamentals, LLMs, LangChain, autonomous flows
Mapped Job Titles:

🧬 LLM Application Developer – builds GPT-based internal tools
🔗 LangChain Agent Engineer – chains tools/memory for use-case flows
📊 AI Data Technician – prepares datasets and deploys models
🧪 ML Operations Assistant – supports deployment of lightweight AI models

⚙️Business Automation + Workflows

Primary Focus: Zapier, no-code, GPT assistants, enterprise process AI
Mapped Job Titles:

⚙️ AI Workflow Automation Engineer – automates marketing, HR, ops flows
🧩 Prompt System Integrator – connects tools via AI-powered interfaces
🔄 OpsTech Specialist – agents for task management, Slack, Notion
📤 Custom GPT Developer – builds embedded assistants for websites/tools

🚀 Capstone + Career Launch

Primary Focus: Portfolio, real-world product, deployment pipelines
Mapped Job Titles:

🏗️ AI-native Software Engineer – delivers fullstack AI-integrated projects
👨‍💻 AI Product Engineer – builds LLM-powered, agent-enhanced tools
🧑‍💼 Freelance Tech AI Developer – deploys custom GPTs & automations
💼 Job-Ready AI Engineer – equipped with GitHub, projects, and interview prep