🧠 - Code to Cognition: Software & AI Engineering Bootcamp Mastery - 🧠
🛡️ Build intelligent, scalable systems by mastering end-to-end software development and cutting-edge AI engineering workflows. 24 Weeks.
Land a ₹ 4.5 L – ₹ 20.0 L + Growth Role — or Pay Nothing.
🎓 🌍 Unlock a **100% Guaranteed Internship Certificate** — globally recognized and accepted by top industries worldwide. 🎓
| ❌ 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| 📚 Theory-heavy, outdated content | 🔧 Hands-on learning with real software & AI projects |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 |
🧠 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
💡Your transformation isn’t just our goal — it’s our guarantee.
🚀 Hands-on training in software development, ML/LLMs, and AI integration—built for modern product teams.
📦 Month 1: Foundations of Agentic Software Thinking
🧠 Understand agentic reasoning and autonomy
🌐 Explore business use cases across domains
⚖️ Compare scripted automation vs self-directed agents
🔬 Tools: GPTs, Hugging Face Transformers, AutoGPT
🧑💻 Setup Cursor, GitHub Copilot, Tabnine, and CodeWhisperer
⚙️ Use AI to scaffold backend, frontend, and full-stack projects
📊 Accelerate debugging, refactoring, and test writing with AI
🧪 Measure time saved and productivity impact
📚 Use GPTs to research and choose frameworks (React, Django, etc.)
🛠️ Ask AI for setup instructions, scaffolding, and folder structure
📈 Compare AI-recommended libraries vs official docs
📂 Build a sample login system in 2 frameworks via AI
🏛️ Use AI to generate ER diagrams, flowcharts, and UML
🧩 Break down problem statements into modular components
🔧 Ask GPT to map business logic into system architecture
📦 Refactor monoliths to microservices with AI guidance
🔐 Month 2: Building Scalable & Secure Backends
⚙️ Use LangChain or OpenAI agents to build internal tools
🧬 Automate sprint planning, daily updates, task allocation
🔗 Integrate tools like Notion, Slack, Trello with agents
🚀 Build workflows that self-update and self-optimize
🧪 Use AI to auto-generate unit tests, edge cases, and mocks
🔍 Refactor legacy code with AI suggestions
📄 Automate code documentation using GPT
🔧 Setup test pipelines with CI/CD + Copilot suggestions
🔗 Design REST APIs using prompt-driven OpenAPI specs
📚 Auto-generate Swagger docs, Postman collections via GPT
🧪 Ask AI to create sample requests/responses with edge cases
🧠 Connect endpoints to mock AI-powered backends (e.g. LangChain)
🗄️ Use AI to structure relational/noSQL schemas
📊 Generate efficient queries, views, and indexing strategies
⚠️ GPT for query troubleshooting, optimization hints
📂 Auto-convert spreadsheet to SQL schema using AI agents
🧠 Month 3: SLDC Engineering + AI Coding Assistants
🔐 Auto-generate JWT/OAuth-based auth flows
🧱 Role-based access + permissions modeled by GPT agents
🔍 Use AI to detect security flaws & logic errors
⚙️ Simulate attacks + penetration testing suggestions via AI
🚀 GPT-guided CI/CD setup (GitHub Actions, Docker, Vercel)
📦 Ask AI to deploy environments with scripts (YAML/JSON)
📡 Trigger test → build → deploy agents
🧪 Use AI to validate environments, rollbacks, logs
🎨 Ask GPT to scaffold reusable React components
📦 Generate props, states, and styles from natural language
📐 Use GPT to mirror Figma-to-code conversion
🧠 AI-assisted accessibility & responsive suggestions
🔗 Connect frontend ↔ backend using agent orchestration
💬 GPT agents as middle-layer logic processors
⚡ Auto-generate fetch/Axios flows & error handling
📂 End-to-end testing plans from API specs
🤖 Month 4: Applied Machine Learning & LLM Agent Design
🌈 Use GPT to generate tokens, themes, component variants
🖼️ Implement atomic design principles from GPT instructions
📦 AI-assisted integration of Tailwind, Chakra, MUI
📊 Linting, theming, and standardization with AI help
🔍 Ask GPT to review pull requests contextually
🧪 AI-generated suggestions for performance + security
🔧 Auto-fix lint errors, modularize legacy code
📄 GPT-generated changelogs, commits, and PR summaries
📊 Basics of ML: regression, classification, clustering
📦 GPT explanation → scikit-learn code translation
🧠 Ask AI to tune hyperparameters with goals
🛠️ Deploy ML models using templates (FastAPI + Docker)
🧬 Use GPTs as logic engines + data routers
🌐 Prompt templating: chain-of-thought, RAG, self-reflection
📡 Tools: OpenAI, Ollama, Together, Claude
⚙️ Ask GPT to optimize cost + latency decisions
⚙️ Month 5: AI Automation, GPT Assistants & No-Code Ops
🔗 Chains, tools, and memory module design
🧠 Implement multi-step agents using LangChain
⚠️ Guardrails: output validation, retries, logging
📦 Build a business logic agent for CRM/email ops
🤖 Build end-to-end self-running GPT agents
📂 Memory, planning, execution modules
🔄 Deploy agents to run in recurring timeframes
🛠️ Connect to external APIs: Notion, Zapier, Slack
🧩 Convert business rules into workflows using GPT
⚙️ Integrate tools like Make, Zapier, Pabbly
🔧 Use GPT to convert flowcharts into working logic
📤 Agents that trigger actions from forms/emails
🔍 RAG (Retrieval Augmented Generation) systems
📚 Use LangChain + Pinecone/Chroma for memory
🧠 Train agents to search + answer from company docs
📄 Build a custom GPT over internal SOPs
🚀 Month 6: Product Build, Deployment & Career Launch
📊 Auto-generate metrics dashboards via GPT
📦 Connect PostgreSQL/Mongo → GPT for queries
🧠 GPT-generated visualizations (charts, reports)
📈 Real-time data agents with auto-alerts
💬 Use OpenAI Assistants API to build project-specific agents
🧠 Customize tone, tools, and memory for GPTs
🌐 Embed GPT bots in dashboards, web apps, support
🛠️ Role-based and contextual GPT agents
🏗️ Ideate product + system design via GPT
🧱 Build reusable components across backend + frontend
📡 Connect AI logic: GPT, LangChain, tools
⚙️ Set up full CI/CD pipeline for deployment
📁 Generate project portfolio using GPT (docs + UI)
🧑💼 Resume, GitHub, LinkedIn enhancement with AI
🧪 Final project demo, mock interviews
🎯 Launch job search or client work with proof-of-skill
🚀 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.
Transparent Pricing
🧩 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.
🌟Why Choose Us? ✔️ What Makes Us Different?
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.
❓ Top FAQs – Software & AI Engineering Program
🎯 Aspiring sales professionals, digital marketers, solopreneurs, startup teams, and fresh graduates.
This course is built for anyone looking to build a practical career in sales and digital marketing.
Whether you’re from a technical or non-technical background, we’ll train you from scratch.
Field sales executives, freelancers, and D2C sellers will also benefit from our hybrid model.
No prior knowledge? No problem — just bring the hustle mindset.
🙅♂️ Absolutely not — this is a zero-to-hero course.
We teach you everything from marketing basics to advanced sales tools.
All sessions are beginner-friendly and slowly scale up in complexity.
Even if you've never done a sales call or created an ad, we’ve got you covered.
Confidence, communication, and consistency matter more than prior experience.
📈 You’ll master both online and offline sales with full-stack marketing knowledge.
Core topics include sales psychology, digital ads (Google/Facebook), cold outreach, and lead nurturing.
You’ll also build skills in copywriting, CRM management, landing page design, and analytics.
Weekly capstone projects ensure you don’t just learn — you implement.
We even include AI tools (ChatGPT, Canva AI) to boost productivity.
🧪 Yes, you’ll work with the same tools used by top sales & marketing teams.
This includes Meta Ads Manager, Google Ads, HubSpot CRM, LinkedIn Sales Navigator, and Notion.
You'll also get exposure to email campaign tools, Google Sheets, analytics dashboards, and more.
All projects are done hands-on with live tool walkthroughs.
By the end, you’ll build your own lead funnel from scratch.
🚀 Yes — job-readiness is at the core of this course.
We provide career services including resume branding, mock interviews, LinkedIn optimization, and job alerts.
You’ll also get referrals to our hiring partners and access to our internal placement desk.
Interview guidance, cold email templates, and sales roleplay simulations are part of the process.
We stay with you until your first offer — and even after.
❓ Top FAQs – Software & AI Engineering Program
📅 The program runs for 6 months: 4 months learning + 2 months real-world project work.
Classes are delivered in a hybrid model — 4 live classes/week + on-demand content + mentor sessions.
Weekend and evening batch options are available for working professionals.
You’re expected to invest 10–12 hours/week including project hours.
It’s intense — but that’s how careers are built.
🧱 Every project is real-world, portfolio-ready, and client-facing.
Sample projects include:
Creating & running Facebook ad campaigns
Designing a cold outreach funnel for B2B leads
Building a CRM system with data tracking
Writing landing page content that converts
All projects are reviewed by industry mentors and added to your final GitHub portfolio.
🎓 Yes, and more than just one.
You’ll receive a verified Course Completion Certificate with a unique ID.
You also get project-specific credentials, GitHub endorsements, and LinkedIn recommendations (if eligible).
All certifications are aligned with placement readiness and recognized by hiring partners.
Bonus: Capstone reviewers often provide endorsements on your public profiles.
🧠 Absolutely. We run one of the most active learning communities.
You get access to 24/7 doubt support via Slack or Discord.
Live mentor calls, open office hours, and peer group reviews keep your learning on track.
We also have GPT-powered bots for sales pitch testing and copywriting help.
Learning here is collaborative, not isolated.
💰 Our pricing is outcome-focused, not just content-focused.
The registration fee is ₹10,000 (non-refundable). Course fee is ₹1,10,000 — payable upfront or via 3/6 month EMIs.
The job success fee of ₹2,00,000 is only paid after you get a job offer.
We also offer early bird, referral, and group discounts.
Subscription-based “Job First, Pay Later” plans are available for select learners.
