Your AI Career Accelerator

Stop Worrying About Layoffs: Master AI/ML & Future-Proof Your Tech Career.

In an era of rapid automation & uncertainty, traditional tech roles are at risk. I'll guide you, a fellow engineer from a non-IIT background, through a proven, practical curriculum to land your next high-paying AI/ML role, just like I did.

🔍 Find Your AI Career Path

Whether you're securing your role or aiming for a breakthrough, see which path best fuels your next career move.


1

The Product SE Aspiring

Service-based engineer aiming to lead features at a Product Company. Master production deployment and ML system design end-to-end.

Outcome: Transition to Senior AI/ML Engineer.
2

The Relaunch Candidate

Impacted by layoffs? Get rapid upskilling with practical projects and my exclusive career support (Resume, LinkedIn, Mock Interviews).

Outcome: Secure Re-entry to Tech with 1:1 Career Coaching.
3

The Role Pivot Engineer

You're a Front-end, QA, or DevOps engineer ready to make a high-impact transition into AI/ML.

Outcome: Acquire In-Demand Skills to Immediately Double Your Career Value.
4

The Self-Taught Developer

Done dabbling? Need structure? Get a clear, step-by-step path from math fundamentals to production-ready exercises.

Outcome: Zero Gaps in Foundational AI Knowledge, Guaranteed.
5

The Non-IIT Achiever

College Graduate or Tier-3 engineer ready to prove potential. A project-first roadmap to beat the pedigree bias.

Outcome: Transition into a high-impact AI/ML Product Engineer role.
6

The Data Science Switch

You code well but need the Generative AI and ML pipeline skills for a high-value Data Scientist role.

Outcome: Job-Ready Portfolio Mapped Directly to Interview Tasks.

✨ Future of Generative AI and ML

  • ⚒️
    The $1.8 Trillion Opportunity

    The global AI market is projected to reach over $1.8 Trillion by 2030. Your skills are the currency in this massive, booming economy.

  • 📐
    AI Job Demand is Unstoppable

    Roles in AI/ML are projected to grow 32% faster than the average. The demand for engineers who can deploy models is critically high.

  • 🚀
    Automation’s Clear Threat

    McKinsey reports that 30% of current work hours could be automated by 2030. Learning AI is not optional—it’s career insurance.

  • 💼
    Enterprise Adoption at 78%

    Over 78% of global companies are now actively using AI in at least one business function. They are desperate to hire talent like you, today.

  • 🧠
    The New Elite: Product Focus

    Companies that build AI products demand practical, production-ready skills. My background (Tier 3 to Senior Product SE) is your proven roadmap to these roles.

  • 🌐
    The Critical Talent Shortage

    35% of companies cite a lack of skilled employees as the #1 inhibitor to AI adoption. Mastering Generative AI makes you a high-value asset.

Why Join This Course?

The AI Career Accelerator: Experience Learning That Transforms Careers, Not Just Skills.

🎯

The Job Switch Playbook

  • Guaranteed Job Readiness: Support from a Senior SE who successfully transitioned to product tech.
  • Mock Interview System: Realistic, in-depth prep sessions to ensure interview confidence and clarity.
  • Focus on product-based company hiring strategies, not just service companies.
💼

Profile Optimization Deep Dive

  • Personalized deep dives on Resume, LinkedIn, and Naukri to beat ATS systems.
  • Learn how to present your projects to attract top-tier AI/ML recruiter interest.
  • Exclusive access to optimized profile templates used by industry pros.
👨‍🏫

Direct Live Mentorship

  • Direct access to a Senior Product SE for real-world production insights.
  • Get personalized, timely feedback on all your course projects and assignments.
  • Structured weekly live sessions focused on complex concepts and career Q&A.
💡

Unstoppable Learning Support

  • 24/7 Priority Support channel to unblock coding issues and maintain learning momentum.
  • Guaranteed quick answers so you never feel stuck and can stay on track.
  • Focus on the "why" behind the code, not just the "how," for deeper understanding.
🚀

Production-Ready Curriculum

  • Master Generative AI and end-to-end MLOps integration (deployment, scaling).
  • Build a portfolio of End-to-End Capstones that solve real business problems.
  • Practical, job-focused curriculum that eliminates theoretical fluff and gets you hired.
🤝

Accountability & Network

  • Active Learning Community of highly motivated engineers committed to the job switch.
  • Built-in Accountability System to ensure project completion and consistency.
  • Exclusive access to a growing network of alumni and industry referral opportunities.

Enroll in the AI Masterclass, and you aren't just taking a course — you are making a guaranteed investment in the one technology that will define the next 10 years of your career.

Future-Proof Your Career →

What You’ll Get: The Complete AI Career Package

💻

Live Classes + HD Recordings

🚀

MLOps & GenAI Production Skills

🤝

Dedicated 24/7 Priority Support

🎁

Exclusive Tools & Resource Library

💼

End-to-End Career Job Support

👨‍🏫

Personalized Senior SE Mentorship

📁

Deployable Portfolio Projects

♾️

Lifetime Access & Course Updates

The Zero-Risk 100% Money Back Guarantee

We are confident this course will transform your career. Your investment is completely risk-free. Try the content, mentorship, and support system for 7 full days. If you are not completely satisfied for any reason, we will refund every penny—no questions asked, no hassle.

1

Enroll Today

Secure your spot and start your journey

2

7-Day Test Drive

Experience all live sessions and course materials

3

100% Refund

If you're not fully satisfied, you get your money back

Secure and Flexible Enrollment

Your payment information is encrypted end-to-end and secured with industry-leading technology, giving you complete peace of mind.

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Limited Time Offer

Transform Your Career Today

Join 500+ successful learners who landed their dream jobs in AI/ML.

₹ 50,000
50% OFF
₹ 25,000 One-time payment
You save ₹25,000 today!

What You Get: The Full Career Package

Live Mentorship Sessions
Job Assistance & Placement
Real Portfolio Projects
24/7 WhatsApp Support
AI Tools Integration & MLOps
Lifetime Access to Course Content
Resume & LinkedIn Profile Optimization
Naukri Profile & Job Application Guidance
⚡ Early Bird Offer Ends Soon! Only 8 seats left in this batch.
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500+ Enrolled

AI Career Transformation Program in Generative AI and ML Curriculum

MODULE 0: Mathematics for AI (The Foundation) Est.Time: 1 week
  • Linear Algebra Essentials: Vectors & Vector Ops, Matrices, Multiplication, Eigenvalues / Eigenvectors
  • Calculus for AI: Derivatives, Chain Rule, Gradient Descent intuition, Build GD from scratch
  • Probability & Statistics: Distributions, Mean/Variance, Bayes, Significance, Probabilistic models
MODULE 1: Python & AI Programming Foundations Est.Time: 4 week
  • Core Python Concepts: Data types, variables, control flow (if, loops), functions, error handling, OOP (classes, inheritance)
  • Python Power-Up: Data science vs regular Python, NumPy, Pandas, Matplotlib & Seaborn, data pipeline project
  • Essential Libraries for AI: Jupyter / Colab, Git & GitHub, Virtual env, workflow setup
  • Data Handling Like a Pro: Cleaning, missing data, outliers, feature engineering, augmentation project
MODULE 2: Machine Learning Fundamentals Est.Time: 1 week
  • Core ML Concepts: Supervised / Unsupervised / RL, splits, overfitting/underfitting, bias-variance
  • Essential ML Algorithms: Regression, Decision Trees, SVM, Clustering, 3 end-to-end projects
  • Model Evaluation & Tuning: Accuracy, ROC-AUC, confusion matrix, hyperparameter tuning, challenge
  • Scikit-learn Mastery: Pipelines, scaling, persistence, portfolio project with web interface
MODULE 3: Deep Learning & Neural Networks Est.Time: 2 week
  • Neural Networks from Scratch: Perceptron → multi-layer, activation, forward/backprop, code lab
  • Deep Learning with TF & PyTorch: APIs, custom layers, GPU setup, classification & time-series projects
  • Convolutional Neural Networks (CNNs): Convolutions, pooling, architectures, transfer learning, object detection
  • Recurrent Neural Networks (RNNs): Sequence modeling, LSTM/GRU, seq-to-seq, projects
  • Advanced Training Techniques: Batch norm, dropout, schedulers, early stopping, handling imbalance
MODULE 4: Natural Language Processing (NLP) Est.Time: 2 week
  • NLP Fundamentals: Tokenization, stemming/lemmatization, BoW, TF-IDF, embeddings, NER
  • Advanced NLP Techniques: POS tagging, parsing, topic modeling, summarization, project
  • Pre-Transformer Era Models: Seq2seq, attention, chatbots
MODULE 5: Transformer Architecture & Large Language Models Est.Time: 2 week
  • Transformer Architecture Deep Dive: Self-attention, multi-head, positional encoding, build simplified transformer
  • BERT & Encoder-Based Models: Pretraining, fine-tuning, variants, NER / Q&A projects
  • GPT & Decoder-Based Models: GPT evolution, autoregressive modeling, text gen strategies
  • T5 & Encoder-Decoder Models: Text-to-text paradigm, multi-task fine-tuning
  • Working with Hugging Face: Transformers, tokenizers, datasets, build 5 NLP applications
  • Large Language Models (LLMs): LLaMA, Falcon, quantization, local deployment
MODULE 6: Generative AI - Creating New Content Est.Time: 2 week
  • GANs: Generator vs Discriminator, DCGAN, StyleGAN, conditional GANs, image gen projects
  • Variational Autoencoders (VAEs): Latent space, reparameterization trick, anomaly detection
  • Diffusion Models: DDPM, latent diffusion, guidance, Stable Diffusion deep dive
  • Text-to-Image Generation: DALL·E, CLIP, ControlNet, generate from prompts
  • Advanced Image Generation: Inpainting, super-resolution, image restoration, portfolio suite
MODULE 7: Prompt Engineering & LLM Applications Est.Time: 3 week
  • Prompt Engineering Mastery: Zero / one / few-shot, CoT, ToT, prompt templates, lab
  • Working with OpenAI API: GPT-4, function calling, embeddings, cost optimization
  • Advanced LLM Techniques: RAG, vector DBs, semantic search, context management
  • LangChain & LLM Orchestration: Chains, Agents, memory, multi-step workflows
  • LlamaIndex for Data Integration: Indexing, knowledge base, data integration, enterprise use cases
MODULE 8: Fine-Tuning & Model Customization Est.Time: 1 week
  • Fine-Tuning Fundamentals: Transfer learning, dataset prep, when to fine-tune vs prompt
  • PEFT Techniques: LoRA, QLoRA, adapters, prefix tuning
  • Instruction Tuning: Creating instruction datasets, SFT, best practices
  • RLHF (Reinforcement Learning from Human Feedback): Reward modeling, PPO, case study
  • Domain-Specific Training: Healthcare, finance, legal; safety & compliance
MODULE 9: Computer Vision & Multimodal AI Est.Time: 2 week
  • Advanced Computer Vision: Object detection (YOLO, R-CNN), segmentation, pose estimation
  • Vision Transformers (ViT): Transformer for images, CLIP, BLIP image-text models
  • Multimodal Models: Text + image + audio models, GPT-4 vision, multimodal apps
  • Video Understanding: Frame analysis, action recognition, summarization systems
MODULE 10: Agents & Advanced AI Systems Est.Time: 2 week
  • AI Agents Fundamentals: ReAct paradigm, tool use, function calling, simple agent build
  • LangChain Agents Deep Dive: Agent types, memory, multi-agent, custom tools
  • AutoGPT & Autonomous Systems: Self-improvement, decomposition, long-term memory, advanced assistant
MODULE 11: MLOps & Production Deployment Est.Time: 3 week
  • Model Deployment Strategies: REST APIs, Docker, serving frameworks, project API
  • Cloud Deployment: AWS SageMaker, GCP AI Platform, Azure ML, serverless setups
  • MLOps Best Practices: CI/CD, versioning (MLflow, DVC), experiment tracking
  • Monitoring & Maintenance: Drift detection, logging, performance monitoring
  • Scalability & Performance: Pruning, quantization, caching, load balancing
MODULE 12: Real-World Capstone Projects Est.Time: 1 week
  • Choose Specialization Track: AI Product, Enterprise AI, Research, AI for Social Good
  • Capstone Requirements: End-to-end project, GitHub, live demo, documentation, presentation
Future-Proof Your Career →

Reach Out Anytime

Have a question about the course? Need clarity before enrolling?
Or just want to discuss your learning path? Don’t hesitate — we’re here to help you grow, step by step.

Email us: support@BitsByBits.in
Call: 9958341249